Alternatives to Asset Navigator
Compare Asset Navigator alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Asset Navigator in 2026. Compare features, ratings, user reviews, pricing, and more from Asset Navigator competitors and alternatives in order to make an informed decision for your business.
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SCIKIQ
SCIKIQ
SCIKIQ is an AI-native Data & Intelligence Platform designed to help enterprises make their data trusted, governed, connected, and ready for AI in weeks rather than years. Recognized by Forrester, NASSCOM League of 10, YourStory Tech30, Inc42, and DataIQ, SCIKIQ supports enterprises across the USA, India, UK, and UAE. SCIKIQ brings together Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products, and AI Agents within one unified platform. Unlike traditional data platforms that often require extensive replatforming or migration, SCIKIQ works with an enterprise’s existing technology ecosystem. Organizations can connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, data warehouses, and enterprise applications through 200+ pre-built connectors, without rip-and-replace. Contextual Intelligence at the Core SCIKIQ goes beyond connecting data by helping AI understand the business context behind it. Its semantic intelligence layer brings together business terminology, KPI definitions, metadata, lineage, ownership, business rules, ontologies, and relationships to create a trusted context layer for enterprise analytics and AI. Business users can ask questions in natural language, investigate KPIs, identify root causes, and generate insights without writing SQL. Data teams gain enterprise-grade capabilities for data integration, quality, governance, lineage, metadata, and control. AI teams gain trusted, contextual enterprise data for building Generative AI applications, copilots, and intelligent AI agents. Why Enterprises Choose SCIKIQ AI-ready in 3–6 weeks | 200+ connectors | 99.9% availability | No-code | Multi-cloud | No vendor lock-in | No replatforming SCIKIQ has production deployments across industries including manufacturing, retail, aviation, logistics, BFSI, healthcare, and other data-intensive enterprises. -
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AnalyticsCreator
AnalyticsCreator
AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack. At its core is the AnalyticsCreator Governed Control Model, which keeps business meaning, data structures, transformation rules, dependencies and technical implementation connected in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design. Generated assets can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns. Changes made in the model can be propagated across dependent project assets, while lineage, documentation and impact analysis remain connected to the underlying design. This helps teams reduce repetitive engineering work, standardise delivery and understand the effect of change before regenerating affected assets. AnalyticsCreator generates native Microsoft technology rather than requiring a proprietary runtime. Organisations retain ownership of the resulting implementation and can integrate generated assets into existing Git, Azure DevOps and CI/CD processes. Design Intelligence extends this governed project context into AI-assisted data engineering by giving authorised AI tools and agents structured access to metadata, lineage, dependencies and design rules. Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery, SAP-to-Microsoft analytics architectures and repeatable data product engineering. -
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dbt
dbt Labs
dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow. Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence.Starting Price: $100 per user/ month -
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MANTA
Manta
Manta is the world-class automated approach to visualize, optimize, and modernize how data moves through your organization through code-level lineage. By automatically scanning your data environment with the power of 50+ out-of-the-box scanners, Manta builds a powerful map of all data pipelines to drive efficiency and productivity. Visit manta.io to learn more. With Manta platform, you can make your data a truly enterprise-wide asset, bridge the understanding gap, enable self-service, and easily: • Increase productivity • Accelerate development • Shorten time-to-market • Reduce costs and manual effort • Run instant and accurate root cause and impact analyses • Scope and perform effective cloud migrations • Improve data governance and regulatory compliance (GDPR, CCPA, HIPAA, and more) • Increase data quality • Enhance data privacy and data security -
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Alation
Alation
The Alation Agentic Data Intelligence Platform enables organizations to scale and accelerate their AI and data initiatives. By unifying search, cataloging, governance, lineage, and analytics, it transforms metadata into a strategic asset for decision-making. The platform’s AI-powered agents—including Documentation, Data Quality, and Data Products Builder—automate complex data management tasks. With active metadata, workflow automation, and more than 120 pre-built connectors, Alation integrates seamlessly into modern enterprise environments. It helps organizations build trusted AI models by ensuring data quality, transparency, and compliance across the business. Trusted by 40% of the Fortune 100, Alation empowers teams to make faster, more confident decisions with trusted data. -
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Tokern
Tokern
Open source data governance suite for databases and data lakes. Tokern is a simple to use toolkit to collect, organize and analyze data lake's metadata. Run as a command-line app for quick tasks. Run as a service for continuous collection of metadata. Analyze lineage, access control and PII datasets using reporting dashboards or programmatically in Jupyter notebooks. Tokern is an open source data governance suite for databases and data lakes. Improve ROI of your data, comply with regulations like HIPAA, CCPA and GDPR and protect critical data from insider threats with confidence. Centralized metadata management of users, datasets and jobs. Powers other data governance features. Track Column Level Data Lineage for Snowflake, AWS Redshift and BigQuery. Build lineage from query history or ETL scripts. Explore lineage using interactive graphs or programmatically using APIs or SDKs. -
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Datakin
Datakin
Instantly reveal the order hidden within your complex data world, and always know exactly where to look for answers. Datakin automatically traces data lineage, showing your entire data ecosystem in a rich visual graph. It clearly illustrates the upstream and downstream relationships for each dataset. The Duration tab summarizes a job’s performance in a Gantt-style chart along with its upstream dependencies, making it easy to find bottlenecks. When you need to pinpoint the exact moment of a breaking change, the Compare tab shows how your jobs and datasets have changed between runs. Sometimes jobs that run successfully produce bad output. The Quality tab surfaces critical data quality metrics, showing how they change over time so anomalies become obvious. Datakin helps you find the root cause of issues quickly – and prevent new ones from occurring.Starting Price: $2 per month -
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Select Star
Select Star
Set up your automated data catalog in just 15 minutes, and receive column-level lineage, Entity Relationship (ER) diagram, and auto-populated documentation within 24 hours. Easily find, tag, and add documentation to your data so everyone can find the right dataset for their use case. Select Star automatically detects and displays your column-level data lineage. You can now trust the data, knowing where it came from. Select Star automatically surfaces how your company uses data. That means you can identify relevant data fields without needing to ask someone else. Select Star treats your data with AICPA SOC 2 Security, Confidentiality, and Availability standards, making sure your data is always safe and sound.Starting Price: $270 per month -
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Validio
Validio
See how your data assets are used: popularity, utilization, and schema coverage. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Find and filter the data you need based on metadata tags and descriptions. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Drive data governance and ownership across your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Automatically generated field-level lineage map to understand the entire data ecosystem. Anomaly detection learns from your data and seasonality patterns, with automatic backfill from historical data. Machine learning-based thresholds are trained per data segment, trained on actual data instead of metadata only. -
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DataHawk
We-Bridge
Visualize data lineage by automatically extracting data flow from data source to target. A data lineage management solution that automatically collects and analyzes data lineage of mission-critical data, visualizing data flow and derivation rule from data source to target. Data Lineage is the flow of data from the source to the target. Tracking Data Lineage means understanding what flow and derivation rules the data processed, transformed and used. Multi-tier column level data lineage graph and list from source to target. Drill down data lineage – business system, table and column level. Provide parsers for various environment analysis and support analysis of Big Data technologies. Path sensitive dynamic string analysis and data flow analysis inside programs with our patented technology. -
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SAP Information Steward software supports data profiling and monitoring and information policy management. As the information governance layer of SAP Business Technology Platform, it can help you anticipate risk and drive better business outcomes. Combine data profiling, data lineage, and metadata management to gain continuous insight into the integrity of your enterprise data model. Gain a better understanding of data quality across your data management landscape,while accessing and analyzing metrics with intuitive dashboards and scorecards. Improve enterprise information management initiatives by supporting analysts, data stewards, and IT experts with consistent validation rules and guidelines. Discover, assess, define, monitor, and improve the quality of your enterprise data assets with data profiling and metadata management – all with one solution. Forecast the potential savings of improved data quality by running what-if analyses.
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Kylo
Teradata
Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI. -
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Octopos
Octopos
Octopos is a data governance and data mesh platform that enables large enterprises to discover, catalog, and manage data assets across distributed environments while ensuring compliance, security, and business context are preserved. It provides automated metadata harvesting and intelligent classification so organizations can build a unified enterprise data catalog that includes business terms, policies, and lineage, giving teams a clear, trustworthy view of where data comes from, how it’s used, and who owns it. It also offers tools for automated data quality monitoring, impact analysis, and collaborative workflows that help data stewards and engineers remediate issues quickly and maintain reliable datasets. Octopos supports policy enforcement by unifying technical, business, and compliance requirements into rule sets that can be applied consistently across cloud, on-premises, and hybrid architectures, reducing risk and accelerating analytics projects. -
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Blindata
Blindata
Blindata covers all the functions of a Data Governance program: Business Glossary, Data Catalog & Data Lineage build an integrated and complete view on your Data. Data Classification module gives a semantic meaning to the data while the Data Quality, Issue Management & Data Stewardship modules improve the reliability and trust on data. Moreover, privacy compliance can leverage specific features: registry of processing activities, centralized privacy note management, consent registry with Blockchain integrated notarization. Blindata Agent can connect to different data sources, collecting metadata such data structures (Tables, Views, Fields, …), data quality metrics, reverse lineage, etc. Blindata has a modular and entirely API based architecture allowing systematic integration with the most critical business systems (DBMS, Active Directory, e-commerce, Data Platforms). Blindata is available as SaaS, can be installed “on Premise” or purchased on AWS Marketplace.Starting Price: $1000/year/user -
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SQLFlow
Gudu Software
SQLFlow provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across databases, ETL, business intelligence, cloud and Hadoop environments by parsing SQL Script and stored procedure. Depict all the data movement graphically. Support more than 20 major databases and still growing. Provide automation in building the lineage no matter where the SQL resides: databases, file system, Github, Bitbucket and etc. Shows data flows in a way that is user-friendly, clear, and understandable. Get full visibility into your BI environment. Discovering Root-Cause of Reporting Errors, creates invaluable business confidence. Simplify regulatory compliance. The visualization of data lineage provide greater transparency and audit ability. Enable impact analysis at a granular level, drill down into table, column, and query-level lineage. Add the powerful data lineage analysis capability to your product instantly.Starting Price: $49.99 per month -
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Atlan
Atlan
The modern data workspace. Make all your data assets from data tables to BI reports, instantly discoverable. Our powerful search algorithms combined with easy browsing experience, make finding the right asset, a breeze. Atlan auto-generates data quality profiles which make detecting bad data, dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, we’ve got you covered. Atlan takes the pain away from governing and managing your data ecosystem! Atlan’s bots parse through SQL query history to auto construct data lineage and auto-detect PII data, allowing you to create dynamic access policies & best in class governance. Even non-technical users can directly query across multiple data lakes, warehouses & DBs using our excel-like query builder. Native integrations with tools like Tableau and Jupyter makes data collaboration come alive. -
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Dremio
Dremio
Dremio delivers lightning-fast queries and a self-service semantic layer directly on your data lake storage. No moving data to proprietary data warehouses, no cubes, no aggregation tables or extracts. Just flexibility and control for data architects, and self-service for data consumers. Dremio technologies like Data Reflections, Columnar Cloud Cache (C3) and Predictive Pipelining work alongside Apache Arrow to make queries on your data lake storage very, very fast. An abstraction layer enables IT to apply security and business meaning, while enabling analysts and data scientists to explore data and derive new virtual datasets. Dremio’s semantic layer is an integrated, searchable catalog that indexes all of your metadata, so business users can easily make sense of your data. Virtual datasets and spaces make up the semantic layer, and are all indexed and searchable. -
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IBM Manta Data Lineage is a data lineage platform that increases data pipeline transparency so businesses can determine data accuracy throughout their models and systems. As businesses integrate AI into their workflows and data becomes more complex, data quality, provenance, and lineage are increasingly important. In fact, IBM’s 2023 CEO study found the number one barrier to generative AI adoption is concerns about the lineage of data. IBM offers an automated data lineage platform that automatically scans your applications to build a powerful map of all data flows. The platform then delivers the info through a native user interface (UI) and other channels to both technical and nontechnical users. With IBM Manta Data Lineage, data operations teams get comprehensive visibility and control of their data pipeline. By improving your understanding and use of dynamic metadata, you can ensure that data is managed efficiently and accurately across complex systems.
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Aggua
Aggua
Aggua is a data fabric augmented AI platform that enables data and business teams Access to their data, creating Trust and giving practical Data Insights, for a more holistic, data-centric decision-making. Instead of wondering what is going on underneath the hood of your organization's data stack, become immediately informed with a few clicks. Get access to data cost insights, data lineage and documentation without needing to take time out of your data engineer's workday. Instead of spending a lot of time tracing what a data type change will break in your data pipelines, tables and infrastructure, with automated lineage, your data architects and engineers can spend less time manually going through logs and DAGs and more time actually making the changes to infrastructure. -
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Rocket Data Intelligence
Rocket Software
Rocket® Data Intelligence (RDI) delivers comprehensive visibility into enterprise data across mainframe, distributed, and cloud environments. It automatically discovers metadata, lineage, and data relationships so organizations can see where critical data resides, how it moves, and which applications and processes rely on it. RDI supports legacy and modern platforms, including Db2, VSAM, IMS, Adabas, Datacom, relational databases, ETL tools like Informatica and DataStage, code such as COBOL, Python, and Java, and cloud data stores. RDI provides enterprise-grade capabilities including automated data discovery and code parsing, impact analysis, lineage filtering, role/LOB-based categorization and governance, workflow management, business glossary, and dependency mapping. By unifying data asset visibility across hybrid environments, RDI reduces operational risk and accelerates data modernization, compliance reporting, discovery, and rationalization initiatives. -
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Deepnote
Deepnote
Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore, and analyze it with real-time collaboration and version control. Users can easily share project links with team collaborators, or with end-users to present polished assets. All of this is done through a powerful, browser-based UI that runs in the cloud. We built Deepnote because data scientists don't work alone. Features: - Sharing notebooks and projects via URL - Inviting others to view, comment and collaborate, with version control - Publishing notebooks with visualizations for presentations - Sharing datasets between projects - Set team permissions to decide who can edit vs view code - Full linux terminal access - Code completion - Automatic python package management - Importing from github - PostgreSQL DB connectionStarting Price: Free -
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Masthead
Masthead
See the impact of data issues without running SQL. We analyze your logs and metadata to identify freshness and volume anomalies, schema changes in tables, pipeline errors, and their blast radius effects on your business. Masthead observes every table, process, script, and dashboard in the data warehouse and connected BI tools for anomalies, alerting data teams in real time if any data failures occur. Masthead shows the origin and implications of data anomalies and pipeline errors on data consumers. Masthead maps data issues on lineage, so you can troubleshoot within minutes, not hours. We get a comprehensive view of all processes in GCP without giving access to our data was a game-changer for us. It saved us both time and money. Gain visibility into the cost of each pipeline running in your cloud, regardless of ETL. Masthead also has AI-powered recommendations to help you optimize your models and queries. It takes 15 min to connect Masthead to all assets in your data warehouse.Starting Price: $899 per month -
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Decube
Decube
Decube is a data management platform that helps organizations manage their data observability, data catalog, and data governance needs. It provides end-to-end visibility into data and ensures its accuracy, consistency, and trustworthiness. Decube's platform includes data observability, a data catalog, and data governance components that work together to provide a comprehensive solution. The data observability tools enable real-time monitoring and detection of data incidents, while the data catalog provides a centralized repository for data assets, making it easier to manage and govern data usage and access. The data governance tools provide robust access controls, audit reports, and data lineage tracking to demonstrate compliance with regulatory requirements. Decube's platform is customizable and scalable, making it easy for organizations to tailor it to meet their specific data management needs and manage data across different systems, data sources, and departments. -
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Microsoft Purview
Microsoft
Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. Easily create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage. Empower data consumers to find valuable, trustworthy data. Automated data discovery, lineage identification, and data classification across on-premises, multicloud, and SaaS sources. Unified map of your data assets and their relationships for more effective governance. Semantic search enables data discovery using business or technical terms. Insight into the location and movement of sensitive data across your hybrid data landscape. Establish the foundation for effective data usage and governance with Purview Data Map. Automate and manage metadata from hybrid sources. Classify data using built-in and custom classifiers and Microsoft Information Protection sensitivity labels.Starting Price: $0.342 -
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Octopai
Octopai
Harness the power of data lineage, discovery and a data catalog to achieve full control of your data. that can instantly navigate through the most complex data landscapes. Gain access to the most comprehensive automated data lineage, discovery and data catalog. Providing unprecedented visibility and trust into the most complex data environments. Octopai extracts metadata from your entire data environment. With a quick, secure and simple process, Octopai will instantly be able to analyze the metadata. In one centralized platform Octopai allows you to access data lineage, data discovery and a data catalog, automatically. Trace any data end-to-end through your entire data landscape, in seconds. Automatically find the data you need anywhere in your data landscape. Create company-wide consistency with a self-creating, self-updating data catalog. -
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Catalog
Coalesce
Catalog from Coalesce (formerly CastorDoc) is a data catalog designed for mass adoption across the whole company. Have an overview of all your data environment. Search for data instantly thanks to our powerful search engine. Onboard to a new data infrastructure and access data in a breeze. Go beyond your traditional data catalog. Modern data teams now have numerous data sources, build one truth. With its delightful and automated documentation experience, Catalog makes it dead simple to trust data. Column-level, cross-system data lineage in minutes. Get a bird’s eye view of your data pipelines to build trust in your data. Troubleshoot data issues, perform impact analyses, comply with GDPR in one tool. Optimize performance, cost, compliance, and security for your data. Keep your data stack healthy with our automated infrastructure monitoring system.Starting Price: $699 per month -
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JP Interactive Viewer
JP Global Digital
Brings substantial value to your Point Cloud, BIM models, and other 3D datasets by centralizing your projects in an easy-to-use, digital platform. JPIV allows you to share, visualize, manage, analyze, and generate insights from your 3D datasets by being your hub for point clouds, 3D meshes, BIM models, 360 images, project, and asset information. JPIV cloud-based capabilities allow everyone to quickly convert massive 3D datasets into actionable insights while improving collaboration between teams. Visualize, manage, and share your project with your stakeholders in a single platform. Leverage collaborative features, like the annotation tool, to improve communication flow among stakeholders. Perform visual inspections anytime, anywhere, with just an internet connection and a web browser. Overlay and visualize new components with BIM models, Point Cloud, and 360 images. Host all relevant project information and 3D data in the same platform, resulting in a single source of truth. -
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Collibra
Collibra
With a best-in-class catalog, flexible governance, continuous quality, and built-in privacy, the Collibra Data Intelligence Cloud is your single system of engagement for data. Support your users with a best-in-class data catalog that includes embedded governance, privacy and quality. Raise the grade, by ensuring teams can quickly find, understand and access data across sources, business applications, BI and data science tools in one central location. Give your data some much-needed privacy. Centralize, automate and guide workflows to encourage collaboration, operationalize privacy and address global regulatory requirements. Get the full story around your data with Collibra Data Lineage. Automatically map relationships between systems, applications and reports to provide a context-rich view across the enterprise. Hone in on the data you care about most and trust that it is relevant, complete and trustworthy. -
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Talend Data Catalog
Qlik
Talend Data Catalog gives your organization a single, secure point of control for your data. With robust tools for search and discovery, and connectors to extract metadata from virtually any data source, Data Catalog makes it easy to protect your data, govern your analytics, manage data pipelines, and accelerate your ETL processes. Data Catalog automatically crawls, profiles, organizes, links, and enriches all your metadata. Up to 80% of the information associated with the data is documented automatically and kept up-to-date through smart relationships and machine learning, continually delivering the most current data to the user. Make data governance a team sport with a secure single point of control where you can collaborate to improve data accessibility, accuracy, and business relevance. Support data privacy and regulatory compliance with intelligent data lineage tracing and compliance tracking. -
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Dataset Finder
Dataset Finder
Dataset Finder is an all-in-one workspace for AI training data. It enables AI engineers, researchers, startups, and enterprise teams to search tens of thousands of curated datasets using natural language, evaluate datasets across 30+ criteria including quality, licensing, bias, labels, and fine-tuning readiness, and organize their data into projects and collections. Beyond dataset discovery, Dataset Finder provides training data inventory and lineage capabilities, reusable AI training recipes, and on-demand custom data annotation backed by Innovatiana. The platform is designed to bring dataset discovery, evaluation, organization, governance, and custom data creation into a single workspace—helping teams spend less time searching and managing data and more time building AI. -
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Set up cloud environments quickly for ad hoc development, testing and productivity for your IT and business users. Reduce the risks and costs of maintaining your data lake by implementing comprehensive data governance, including end-to-end data lineage, for business users. Improve cost savings by delivering clean, consistent and timely information for your data lakes, data warehouses or big data projects, while consolidating applications and retiring outdated databases. Take advantage of automatic schema propagation to speed up job generation, type-ahead search, and backwards capability, while designing once and executing anywhere. Create data integration flows and enforce data governance and quality rules with a cognitive design that recognizes and suggests usage patterns. Improve visibility and information governance by enabling complete, authoritative views of information with proof of lineage and quality.Starting Price: $16,500 per month
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Coalesce
Coalesce.io
Building and managing a fully documented data project takes a lot of time and manual coding. Not anymore. When we say we can help you transform data more efficiently, we can prove it. Column-aware architecture enables reusable data patterns and change management at scale. Bring visibility to change management and impact analysis for safer and more predictable data ops. Coalesce provides curated packages with best-practice templates to automatically generate native-SQL for Snowflake™. Have a unique need? No worries, templates are fully customizable. Navigating your data pipeline is easy in Coalesce. Each screen and button is designed to provide access to everything you need. Your data team has more control over every project, from comparing code side-by-side to instantly seeing project and audit history. Table-level and column-level lineage is automatically provided and always up-to-date. -
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erwin Data Marketplace
erwin
erwin Data Marketplace, included with erwin Data Intelligence by Quest, provides a centralized, consumer-like platform for all data users, regardless of technical expertise, to discover, select, and access governed, high-value data products, datasets, and AI models. This self-service approach accelerates data discovery, enhances data literacy, ensures governance, and maximizes the business impact of data. Key features include dynamic filtering, automated data value scoring, social ratings and reviews, and access to related data intelligence such as mind maps and data lineage. Users can compare multiple assets side-by-side to determine the best fit for their needs. Data stewards and owners benefit from curation and governance capabilities, including defining data products, managing associations, classifying data, assigning searchable tags, and overseeing governance roles. Built-in workflows facilitate data access requests, approvals, and documentation, ensuring compliance. -
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Bloomberg Enterprise Data Catalog
Bloomberg
A meticulously curated suite of over 40,000 data fields, the Bloomberg Enterprise Catalog centralizes diverse enterprise datasets, including reference, regulatory, pricing, ESG, and alternative data, real-time market feeds, funds information, and investment research into a single, API-accessible source with customizable dashboards and integration connectors. Users can perform natural-language and field-level searches, subscribe to specific datasets, and visualize data lineage, usage metrics, and quality scores, while historical coverage spanning decades supports back-testing, trend analysis, regulatory reporting, and model validation. It delivers data via desktop, terminal, or RESTful API, integrates seamlessly with BI tools, cloud storage, and data lakes, and offers granular delivery options from tick-level pricing to aggregated statistics. Rigorous quality controls, standardized identifiers, and enterprise-grade SLAs ensure consistency, accuracy, and uptime. -
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Kensu
Kensu
Kensu monitors the end-to-end quality of data usage in real time so your team can easily prevent data incidents. It is more important to understand what you do with your data than the data itself. Analyze data quality and lineage through a single comprehensive view. Get real-time insights about data usage across all your systems, projects, and applications. Monitor data flow instead of the ever-increasing number of repositories. Share lineages, schemas and quality info with catalogs, glossaries, and incident management systems. At a glance, find the root causes of complex data issues to prevent any "datastrophes" from propagating. Generate notifications about specific data events and their context. Understand how data has been collected, copied and modified by any application. Detect anomalies based on historical data information. Leverage lineage and historical data information to find the initial cause. -
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Datameer
Datameer
Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics. Speed up your analytics workflow by transforming datasets to answer ad-hoc questions and support operational dashboards. Empower everyone on your team with our SQL or Drag-and-Drop to transform your data in an intuitive and collaborative workspace. And best of all, everything happens in Snowflake. Datameer is designed and optimized for Snowflake to reduce data movement and increase platform adoption. Some of the problems Datameer solves: - Analytics is not accessible - Drowning in backlog - Long development -
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Informatica Enterprise Data Catalog
Informatica
Scan and index metadata, discover and profile data, and provide detailed lineage across tens of millions of data sets. Classify and organize data assets across any environment to maximize data value and reuse. Automatically scan across multi-cloud platforms, BI tools, ETL, and third-party metadata catalogs; and data types. Leverage AI-powered domain discovery, data similarity, business term associations, and recommendations. Track data movement, from high-level system views to granular column-level lineage, and get detailed impact analysis. Use the Data Asset Analytics dashboard to understand asset usage, enrichment, and collaboration. View data quality rules, scorecards, metric groups, and profiling stats in context. Tap into shared data knowledge with certifications, ratings and reviews, a Q&A platform, and change notifications. Our broad and deep lineup of enterprise-grade data management solutions sets Informatica apart from the crowd. -
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Conseris
Kuvio Creative
With your Conseris account, you can create as many datasets as you like for the same low monthly price. Clone your datasets with one click, or create different sets of fields for each new dataset. Type your data directly into the web app, or install our mobile app to collect your data without needing an Internet connection. Add unlimited free contributors and give them access to your dataset with a simple code. View your data from any angle. Unlimited filtering, automatic aggregation, and recommended visualizations show you the shape of your data without requiring you to build your own charts. Your work doesn’t stop when you leave the office, and neither should your data. We designed Conseris for the passionate researcher whose ideas don’t always fit between four walls. Whether you’re miles above the earth or away from the nearest village, Conseris won’t stop working until you do.Starting Price: $12 per user per month -
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Exmergo
Exmergo
Exmergo Viz is the Dashboard AI Agent that turns messy data into reliable dashboards in minutes, not weeks. Users can upload or connect datasets, explore them with AI, and generate interactive visualizations from one workspace. It supports structured files such as CSV and Excel, live data connectors, and a centralized Data Hub that lets teams reuse the same data across multiple dashboards and analyses with full traceability. Instead of writing SQL queries, Python scripts, or building charts manually, users ask questions in natural language, request rankings or comparisons, and let Exmergo’s AI analyze datasets in real time to deliver clear, contextual insights. Exmergo Viz creates rich interactive charts, analytical views, built-in analysis, and actionable insights that help teams uncover trends, compare metrics, and share findings faster.Starting Price: $19 per month -
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SAS Viya
SAS
SAS Viya is a cloud-native data and AI platform that unifies data management, analytics, AI modeling, and governance within a single environment. The platform helps organizations build, validate, deploy, and govern AI models with transparency, fairness, and auditability built into the entire lifecycle. SAS Viya provides seamless access to data across multiple sources and platforms while maintaining governance, lineage tracking, and compliance controls. Businesses can use the platform to accelerate AI model training, improve workflow productivity, and operationalize data-driven decisions at scale. SAS Viya also supports AI agents through the SAS Viya MCP Server, enabling secure integration of AI-powered tools and decision-making processes. The platform is designed to support cloud, hybrid, and on-premises deployments for greater flexibility across enterprise environments. -
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Foundational
Foundational
Identify code and optimization issues in real-time, prevent data incidents pre-deploy, and govern data-impacting code changes end to end—from the operational database to the user-facing dashboard. Automated, column-level data lineage, from the operational database all the way to the reporting layer, ensures every dependency is analyzed. Foundational automates data contract enforcement by analyzing every repository from upstream to downstream, directly from source code. Use Foundational to proactively identify code and data issues, find and prevent issues, and create controls and guardrails. Foundational can be set up in minutes with no code changes required. -
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Montara
Montara
Montara enables BI teams and data analysts, using SQL only, to model and transform their data easily and seamlessly and enjoy benefits such as modular code, CI/CD, versioning and automated testing and documentation. With Montara, analysts can quickly understand how changes to models impact analysis, reports and dashboards with report-level lineage and support for 3rd party visualization tools such as Tableau and Looker. Furthermore, BI teams can perform ad-hoc analysis and create reports and dashboards on Montara directly.Starting Price: $100/user/month -
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DagsHub
DagsHub
DagsHub is a collaborative platform designed for data scientists and machine learning engineers to manage and streamline their projects. It integrates code, data, experiments, and models into a unified environment, facilitating efficient project management and team collaboration. Key features include dataset management, experiment tracking, model registry, and data and model lineage, all accessible through a user-friendly interface. DagsHub supports seamless integration with popular MLOps tools, allowing users to leverage their existing workflows. By providing a centralized hub for all project components, DagsHub enhances transparency, reproducibility, and efficiency in machine learning development. DagsHub is a platform for AI and ML developers that lets you manage and collaborate on your data, models, and experiments, alongside your code. DagsHub was particularly designed for unstructured data for example text, images, audio, medical imaging, and binary files.Starting Price: $9 per month -
44
Global IDs
Global IDs
Find out some of the best platform features provided by Global IDs, which brings in a set of Enterprise Data Solutions like data governance, data compliance, cloud migration, rationalization, privacy, analytics & much more! Global IDs EDA Platform feature comprises a set of core functions: automated discovery and profiling, data classification, data lineage, data quality and more – that render data transparent, trustworthy, and explainable across the ecosystem. Global IDs EDA platform architecture is designed for integration from the ground up with all platform functionality accessible via APIs. Global IDs EDA platform automates data management for enterprises of any size or data ecosystem. -
45
Knowledge Catalog is an AI-powered data catalog from Google Cloud that helps organizations manage and understand their entire data ecosystem. It automatically extracts semantics from both structured and unstructured data to build a dynamic context graph. This enables better data discovery, governance, and context-aware insights across the enterprise. The platform helps reduce AI hallucinations by grounding models in accurate, enterprise-specific data. It provides tools for tracking data lineage, profiling data, and measuring data quality. Users can also create business glossaries and enrich metadata to improve data usability. Knowledge Catalog integrates with various Google Cloud services and supports both analytics and AI-driven workflows. Overall, it enhances data visibility, governance, and trust across organizations.Starting Price: $0.060 per hour
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46
MetricSign
MetricSign
MetricSign monitors your entire data stack and detects incidents before your stakeholders do. Connect Power BI via Microsoft OAuth in 2 minutes. MetricSign immediately starts detecting refresh failures, slow datasets, and missed schedules — classifying each with the exact error code and a root cause hint. Beyond Power BI, MetricSign monitors Azure Data Factory, Databricks, dbt Cloud, dbt Core, and Microsoft Fabric. When an ADF pipeline fails and cascades into a Power BI refresh failure, you get one incident — not five separate alerts from five different tools. Key capabilities: - Refresh failure detection with 98+ error code classifications - End-to-end lineage: source → pipeline → dataset → report - Slow refresh and missed schedule detection - Alerts via email, Telegram, webhook - Free plan available — no credit card requiredStarting Price: 69€/3 workspaces -
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erwin Data Intelligence
Quest Software
erwin Data Intelligence (erwin DI) combines data catalog and data literacy capabilities for greater awareness of and access to available data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed. Automatically harvest, transform and feed metadata from a wide array of data sources, operational processes, business applications and data models into a central catalog. Then make it accessible and understandable via role-based, contextual views so stakeholders can make strategic decisions based on accurate insights. erwin DI supports enterprise data governance, digital transformation and any effort that relies on data for favorable outcomes. Schedule ongoing scans of metadata from the widest array of data sources. Easily map data elements from source to target, including data in motion, and harmonize data integration across platforms. Enable data consumers to define and discover data relevant to their roles.Starting Price: $299 per month -
48
Metaplane
Metaplane
Monitor your entire warehouse in 30 minutes. Identify downstream impact with automated warehouse-to-BI lineage. Trust takes seconds to lose and months to regain. Gain peace of mind with observability built for the modern data era. Code-based tests take hours to write and maintain, so it's hard to achieve the coverage you need. In Metaplane, you can add hundreds of tests within minutes. We support foundational tests (e.g. row counts, freshness, and schema drift), more complex tests (distribution drift, nullness shifts, enum changes), custom SQL, and everything in between. Manual thresholds take a long time to set and quickly go stale as your data changes. Our anomaly detection models learn from historical metadata to automatically detect outliers. Monitor what matters, all while accounting for seasonality, trends, and feedback from your team to minimize alert fatigue. Of course, you can override with manual thresholds, too.Starting Price: $825 per month -
49
Dawiso
Dawiso
Dawiso is your modern platform for managing and understanding data, built to unify governance and usability in a way that works for your entire organization. At its core is a powerful, AI-powered data catalog, enabling teams to quickly discover, interpret, and access trusted data across systems, reports, and business tools. With flexible governance features and business-friendly documentation apps, Dawiso bridges the gap between technical and non-technical users, fostering true collaboration. Enhance trust in your data with clear, visual data lineage that maps relationships across sources and systems, giving you full context and control. Support compliance through customizable workflows, role-based access, and structured metadata capture.Starting Price: $49 per user per month -
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OpenMetadata
OpenMetadata
OpenMetadata is an open, unified metadata platform that centralizes all metadata for data discovery, observability, and governance in a single interface. It leverages a Unified Metadata Graph and 80+ turnkey connectors to collect metadata from databases, pipelines, BI tools, ML systems, and more, providing a complete data context that enables teams to search, facet, and preview assets across their entire estate. Its API‑ and schema‑first architecture offers extensible metadata entities and relationships, giving organizations precise control and customization over their metadata model. Built with only four core system components, the platform is designed for simple setup, operation, and scalable performance, allowing both technical and non‑technical users to collaborate on discovery, lineage, quality, observability, collaboration, and governance workflows without complex infrastructure.
