Best Data Lineage Tools - Page 2

Compare the Top Data Lineage Tools as of May 2026 - Page 2

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    Blindata

    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
  • 2
    Foundational

    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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    Dawiso

    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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    Matia

    Matia

    Matia

    Matia is a unified DataOps platform designed to simplify modern data management by combining multiple core functions into a single, integrated system. It brings together ETL, reverse ETL, data observability, and a data catalog, eliminating the need for multiple disconnected tools and reducing the complexity of managing fragmented data stacks. It enables teams to move data quickly and reliably from various sources into data warehouses using advanced ingestion capabilities, including real-time updates and error handling, while also allowing them to push trusted data back into operational tools for business use. Matia emphasizes built-in observability at every stage of the data pipeline, providing monitoring, anomaly detection, and automated quality checks to ensure data accuracy and reliability before issues impact downstream systems.
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    Octopai

    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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    Databricks

    Databricks

    Databricks

    The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
  • 7
    Trifacta

    Trifacta

    Trifacta

    The fastest way to prep data and build data pipelines in the cloud. Trifacta provides visual and intelligent guidance to accelerate data preparation so you can get to insights faster. Poor data quality can sink any analytics project. Trifacta helps you understand your data so you can quickly and accurately clean it up. All the power with none of the code. Trifacta provides visual and intelligent guidance so you can get to insights faster. Manual, repetitive data preparation processes don’t scale. Trifacta helps you build, deploy and manage self-service data pipelines in minutes not months.
  • 8
    IBM watsonx.data integration
    IBM watsonx.data integration is a data integration platform designed to help organizations transform raw data into AI-ready data at scale. The platform enables data teams to build, manage, and optimize data pipelines across multiple environments, including on-premises systems and hybrid or multi-cloud infrastructures. With a unified control plane, watsonx.data integration supports multiple integration styles such as batch processing, real-time streaming, and data replication within a single solution. The platform also offers no-code, low-code, and pro-code development options, allowing both technical and non-technical users to design and manage data pipelines efficiently. By simplifying data integration workflows and reducing reliance on multiple tools, watsonx.data integration helps organizations deliver reliable data for analytics and AI applications.
  • 9
    IBM DataStage
    Accelerate AI innovation with cloud-native data integration on IBM Cloud Pak for data. AI-powered data integration, anywhere. Your AI and analytics are only as good as the data that fuels them. With a modern container-based architecture, IBM® DataStage® for IBM Cloud Pak® for Data delivers that high-quality data. It combines industry-leading data integration with DataOps, governance and analytics on a single data and AI platform. Automation accelerates administrative tasks to help reduce TCO. AI-based design accelerators and out-of-the-box integration with DataOps and data science services speed AI innovation. Parallelism and multicloud integration let you deliver trusted data at scale across hybrid or multicloud environments. Manage the data and analytics lifecycle on the IBM Cloud Pak for Data platform. Services include data science, event messaging, data virtualization and data warehousing. Parallel engine and automated load balancing.
  • 10
    Rocket Data Intelligence
    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.
  • 11
    Kylo

    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.
  • 12
    Tokern

    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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    Apache Atlas

    Apache Atlas

    Apache Software Foundation

    Atlas is a scalable and extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within Hadoop and allows integration with the whole enterprise data ecosystem. Apache Atlas provides open metadata management and governance capabilities for organizations to build a catalog of their data assets, classify and govern these assets and provide collaboration capabilities around these data assets for data scientists, analysts and the data governance team. Pre-defined types for various Hadoop and non-Hadoop metadata. Ability to define new types for the metadata to be managed. Types can have primitive attributes, complex attributes, object references; can inherit from other types. Instances of types, called entities, capture metadata object details and their relationships. REST APIs to work with types and instances allow easier integration.
  • 14
    Truedat

    Truedat

    Bluetab Solutions

    Truedat is an open source data governance business solution tool developed by Bluetab Solutions in order to help our clients become data-driven companies. We help to define business processes, roles & responsibilities. We also help putting processes into practice. Integration and customization of truedat´s open source components to support the data governance processes. We guarantee the support and maintenance of the process & software of our solution modules installed by us. Based on our experience in, we have developed a solution that covers the need for Data Governance, allowing to manage and control highly complex and changing data architectures. The highly increasing migration of enterprise IT platforms to cloud, multi-cloud and hybrid architectures, increases the sources, complexity and types of data and therefore rises the need for truedat. Our solution comes from more than 8 years of experience in Data Governance consulting and development projects.
  • 15
    Privacera

    Privacera

    Privacera

    At the intersection of data governance, privacy, and security, Privacera’s unified data access governance platform maximizes the value of data by providing secure data access control and governance across hybrid- and multi-cloud environments. The hybrid platform centralizes access and natively enforces policies across multiple cloud services—AWS, Azure, Google Cloud, Databricks, Snowflake, Starburst and more—to democratize trusted data enterprise-wide without compromising compliance with regulations such as GDPR, CCPA, LGPD, or HIPAA. Trusted by Fortune 500 customers across finance, insurance, retail, healthcare, media, public and the federal sector, Privacera is the industry’s leading data access governance platform that delivers unmatched scalability, elasticity, and performance. Headquartered in Fremont, California, Privacera was founded in 2016 to manage cloud data privacy and security by the creators of Apache Ranger™ and Apache Atlas™.
  • 16
    Secuvy AI
    Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via AI-driven workflows. Best in class data intelligence especially for unstructured data. Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via ai-driven workflows. Best in class data intelligence especially for unstructured data. Automated data discovery, customizable subject access requests, user validations, data maps & workflows for privacy regulations such as ccpa, gdpr, lgpd, pipeda and other global privacy laws. Data intelligence to find sensitive and privacy information across multiple data stores at rest and in motion. In a world where data is growing exponentially, our mission is to help organizations to protect their brand, automate processes, and improve trust with customers. With ever-expanding data sprawls we wish to reduce human efforts, costs & errors for handling Sensitive Data.
  • 17
    Coalesce

    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.
  • 18
    SAP Information Steward
    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.
  • 19
    Global IDs

    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.
  • 20
    DataHawk

    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.
  • 21
    Aggua

    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.
  • 22
    Montara

    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
  • 23
    DataGalaxy

    DataGalaxy

    DataGalaxy

    DataGalaxy is a next-generation data governance and intelligence platform designed to help organizations manage, understand, and maximize the value of their data. Built around a unified interface, it empowers everyone—from executives to data consumers—to collaborate seamlessly across data assets, strategies, and analytics. The platform’s automated data catalog, governance hub, and AI co-pilot reduce manual work while ensuring compliance and data quality across systems. With over 70+ integrations, including Snowflake, Databricks, Power BI, and AWS, DataGalaxy connects your data ecosystem into a single source of truth. Its value tracking center and strategy cockpit align data initiatives with business goals, driving measurable outcomes and enterprise-wide visibility. Loved by users, DataGalaxy turns governance into a strategic advantage for the modern enterprise.
  • 24
    Validio

    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.
  • 25
    IBM Manta Data Lineage
    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.
  • 26
    Relyance AI

    Relyance AI

    Relyance AI

    Relyance AI safeguards your business from fines and reputation damage while enhancing customer trust to drive growth. We provide unmatched visibility into enterprise-wide data processing and continually align it with global privacy regulations, compliance frameworks, and your contractual commitments.
  • 27
    Collibra

    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.
  • 28
    Talend Data Catalog
    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.
  • 29
    Data360 Govern
    Your organization knows the value of data and the need to get it into the hands of business users for maximum impact, but without enterprise data governance, that data might be hard to find, understand, and trust. Data360 Govern is an enterprise data governance, catalog, and metadata management solution that gives you confidence in the quality, value, and trustworthiness of your data. It automates governance and stewardship tasks to help you answer essential questions about your data’s source, use, meaning, ownership, and quality. With Data360 Govern, you can make faster decisions on data usage and management, build collaboration across your entire organization, and allow users to get the answers they need – when they need them. Transparency into your organization’s data landscape gives you the power to track the critical data aligned with your most important business outcomes.
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    Datalogz

    Datalogz

    Datalogz

    Data knowledge management platform that enables teams to streamline data discovery and understanding with the ultimate goal of being able to trust their data. Prevent misreporting analytics and costly mistakes today!
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