Alternatives to Quest Trusted Data Management Platform
Compare Quest Trusted Data Management Platform alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Quest Trusted Data Management Platform in 2026. Compare features, ratings, user reviews, pricing, and more from Quest Trusted Data Management Platform competitors and alternatives in order to make an informed decision for your business.
-
1
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 -
2
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. -
3
Unity Catalog
Databricks
Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. With Unity Catalog, organizations can seamlessly govern both structured and unstructured data in any format, as well as machine learning models, notebooks, dashboards, and files across any cloud or platform. Data scientists, analysts, and engineers can securely discover, access, and collaborate on trusted data and AI assets across platforms, leveraging AI to boost productivity and unlock the full potential of the lakehouse environment. This unified and open approach to governance promotes interoperability and accelerates data and AI initiatives while simplifying regulatory compliance. Easily discover and classify both structured and unstructured data in any format, including machine learning models, notebooks, dashboards, and files across all cloud platforms. -
4
Actian Data Intelligence Platform is a cloud-native, AI-ready solution designed to transform how organizations discover, understand, govern, and trust their data across complex environments. It unifies capabilities such as data cataloging, metadata management, data governance, lineage, observability, and semantic context into a single platform, creating a central, trusted layer for enterprise data. Powered by a federated knowledge graph, it builds intelligent relationships between data assets, enabling the system to automatically understand context, deliver relevant search results, and provide recommendations for data use. This approach allows both technical and business users to easily find and work with trusted data, improving decision-making and operational efficiency. It continuously monitors data health, enforces governance policies, and generates automated trust signals, ensuring data remains accurate, compliant, and ready for analytics and AI applications.
-
5
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. -
6
Data Sentinel
Data Sentinel
As a business leader, you need to trust your data and be 100% certain that it’s well-governed, compliant, and accurate. Including all data, in all sources, and in all locations, without limitations. Understand your data assets. Audit for risk, compliance, and quality in support of your project. Catalog a complete data inventory across all sources and data types, creating a shared understanding of your data assets. Run a one-time, fast, affordable, and accurate audit of your data. PCI, PII, and PHI audits are fast, accurate, and complete. As a service, with no software to purchase. Measure and audit data quality and data duplication across all of your enterprise data assets, cloud-native and on-premises. Comply with global data privacy regulations at scale. Discover, classify, track, trace and audit privacy compliance. Monitor PII/PCI/PHI data propagation and automate DSAR compliance processes. -
7
Aiimi
Aiimi
Aiimi’s Workplace AI platform is an enterprise-scale AI and data management solution that connects all structured and unstructured data across an organization through a single Virtual Data Layer, enabling secure, scalable AI-powered search, analysis, automation, and actionable insights. It uses AI, machine learning, and Retrieval Augmented Generation (RAG) to discover, classify, enrich, and govern data at scale, turning fragmented information into trusted, “AI-ready” datasets that support natural language search, contextual chat and assistant features, advanced Q&A, and visualizations like knowledge graphs and timelines. It automates complex processes such as data governance, compliance monitoring, data quality improvement, DSAR/disclosure handling, and cloud/legacy system migration, while preserving access controls, permissions, and audit trails. -
8
Oracle Cloud Infrastructure (OCI) Data Catalog is a metadata management service that helps data professionals discover data and support data governance. Designed specifically to work well with the Oracle ecosystem, it provides an inventory of assets, a business glossary, and a common metastore for data lakes. OCI Data Catalog is fully managed by Oracle and runs with all the power and scale of Oracle Cloud Infrastructure. Benefit from all of the security, reliability, performance, and scale of Oracle Cloud while using OCI Data Catalog. Using REST APIs and SDKs, developers can integrate OCI Data Catalog’s capabilities in their custom applications. Using a trusted system for managing user identities and access privileges, administrators can control access to data catalog objects and capabilities to manage security requirements. Discover data assets across Oracle data stores on-premises and in the cloud to start gaining real value from data.
-
9
Kalido Master Data Management
Magnitude Software
Feed harmonized, governed, golden copy data to your BI, data warehouse or downstream applications for better - and faster - decision making. With a single master data management solution, Magnitude Kalido MDM, you can define and model critical business information from any domain - customer, product, financial, vendor, supplier, location and more - to create and manage accurate, integrated, and governed data business users trust. Model as many domains as you need in a single solution. Magnitude's domain-agnostic modeling, matching, and harmonization capabilities reduce manual stewardship and accelerate the integration of data from multiple sources so you can make better business decisions. Drive better outcomes by reducing the communication and collaboration gap between IT and the business. -
10
Data360 Govern
Precisely
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. -
11
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 -
12
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 -
13
ER/Studio Enterprise Edition
ER/Studio
ER/Studio is an enterprise data modeling and architecture platform that enables organizations to design, manage, and govern data assets across complex, distributed environments, including data warehouses, lakehouses, data mesh frameworks, and data vault architectures. It connects business requirements to technical implementation through conceptual, logical, and physical models, providing clarity from strategy through deployment. By establishing a consistent modeling foundation, ER/Studio creates a reliable, shared view of enterprise data that supports analytics, AI initiatives, modernization, compliance, and operational systems. Design data models and keep teams aligned with ER/Studio’s multi-user shared repository and web-based collaboration portal, Team Server. The repository supports version control, role-based access, parallel development, and change tracking so modelers can work simultaneously without conflict, preserving integrity and full history.Starting Price: $2,687 per user -
14
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 -
15
Amplication
Amplication
Amplication is an open source backend development platform that streamlines the creation, maintenance, and scaling of backend services, embedding organizational best practices and standards. It enables developers to rapidly generate production-ready Node.js applications by defining data models, roles, and permissions, resulting in the automatic generation of REST and GraphQL APIs, authentication, role-based authorization, logging, and an admin UI. Amplication supports customization through private plugins, allowing integration of internal tools, workflows, and coding conventions. It also offers a service catalog for comprehensive visibility and governance, facilitating proactive maintenance and standardization across development teams. Starting Price: Free -
16
Solid
Solid
Solid is an AI-powered data intelligence platform designed to make enterprise data reliable and ready for use across AI, analytics, and “chat with your data” experiences. It automatically discovers, documents, and builds business-aware semantic models from a company’s existing data, queries, and tools, creating a consistent foundation that AI systems can trust. It analyzes how data is actually used within the organization and generates validated tables, metrics, relationships, and SQL logic aligned with real business definitions. Through products such as Solid Build and Solid Analyze, teams can automate semantic modeling, translate natural-language questions into production-ready SQL, and keep models continuously updated as data changes. It emphasizes transparency and human oversight, allowing data teams to review, edit, and validate AI-generated models rather than relying on opaque automation. -
17
Amazon DataZone
Amazon
Amazon DataZone is a data management service that enables customers to catalog, discover, share, and govern data stored across AWS, on-premises, and third-party sources. It allows administrators and data stewards to manage and control access to data using fine-grained controls, ensuring that users have the appropriate level of privileges and context. The service simplifies data access for engineers, data scientists, product managers, analysts, and business users, facilitating data-driven insights through seamless collaboration. Key features of Amazon DataZone include a business data catalog for searching and requesting access to published data, project collaboration tools for managing and monitoring data assets, a web-based portal providing personalized views for data analytics, and governed data sharing workflows to ensure appropriate data access. Additionally, Amazon DataZone automates data discovery and cataloging using machine learning. -
18
CLAIRE
Informatica
Informatica’s CLAIRE AI is an enterprise-grade, metadata-driven artificial intelligence engine embedded within the Intelligent Data Management Cloud that automates and accelerates data management tasks to deliver accurate, trusted, and AI-ready data at scale. CLAIRE uses deep metadata insight to reduce manual effort, democratize access to data, and streamline processes across integration, quality, governance, master data management, and observability, supporting autonomous workflows with AI agents, natural language interaction, and proactive recommendations. It powers capabilities such as CLAIRE Agents, which independently plan, reason, and solve complex data challenges like discovery, pipeline generation, quality remediation, and lineage tracking; CLAIRE GPT, a conversational interface that lets users ask questions in natural language to discover, analyze, and execute data tasks; and CLAIRE Copilot, an AI assistant that provides contextual guidance and suggestions. -
19
erwin Data Catalog
Quest Software
erwin Data Catalog by Quest is metadata management software that helps organizations learn what data they have and where it’s located, including data at rest and in motion. It tells you the data and metadata available for a certain topic so those particular sources and assets can be found quickly for analysis and decision-making. erwin Data Catalog automates the processes involved in harvesting, integrating, activating and governing enterprise data according to business requirements. This automation results in greater accuracy and faster time to value for data governance and digital transformation efforts, including data warehouse, data lake, data vault and other Big Data deployments, cloud migrations, etc. Metadata management is key to sustainable data governance and any other organizational effort for which data is key to the outcome. erwin Data Catalog automates enterprise metadata management, data mapping, data cataloging, code generation, data profiling and data lineage. -
20
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
-
21
Entropy Data
Entropy Data
Entropy Data is a data product marketplace for trusting data products with data contracts, helping data consumers discover the data they need for their business case through a clear user interface, semantic search, and filter capabilities fully optimized for data products. It supports the full lifecycle of data access as self-service: consumers can request access, owners can approve or reject, and integrations can automate permissions in the data platform. It is organized around Marketplace, Studio, and Governance, giving data consumers a place to discover and request data products, data product owners and developers a space to add, edit, and monitor products, and stewards, managers, and platform teams a way to define cross-cutting policies and gain platform insights. Entropy Data manages data products, data contracts, access requests, business definitions, assets, domains, teams, source systems, example data, events, certifications, change management, notifications, etc.Starting Price: $109 per month -
22
Prospecta Master Data Online (MDO)
Prospecta Software
Prospecta Master Data Online, or MDO, is an AI-driven multi-domain master data management platform for enterprise data quality, governance, enrichment, and operational control. The platform helps organizations unify scattered master data and turn fragmented information into a trusted source of truth. MDO includes KAI, a next-generation AI steward powered by specialized AI agents that guide users, structure requests, enrich information, enforce governance, and surface insights. The platform is designed to keep enterprise data clean, compliant, complete, AI-ready, and system-agnostic. MDO supports industries such as asset-intensive businesses, process industries, product and supply organizations, and retail. Built for data-driven enterprises, Prospecta MDO helps teams improve data confidence, reduce confusion, and make faster decisions with governed master data.Starting Price: $40k / annum -
23
Activate business-ready data for AI and analytics with intelligent cataloging, backed by active metadata and policy management. IBM Watson® Knowledge Catalog is a data catalog tool that powers intelligent, self-service discovery of data, models and more. The cloud-based enterprise metadata repository activates information for AI, machine learning (ML) and deep learning. Access, curate, categorize and share data, knowledge assets and their relationships, wherever they reside. Organize, define and manage enterprise data to provide the right context and drive value across needs like regulatory compliance and data monetization. Protect data, manage compliance and audit-readiness, and maintain client trust with active policy management and dynamic masking of sensitive data. Consume and transform data at the speed of business with intuitive dashboards and flows that can be shared with peers or analytics tools.Starting Price: $300 per instance
-
24
Everpure
Everpure
Everpure is an enterprise data cloud and modern storage platform designed to help organizations unify, govern, protect, and understand their data for AI-ready operations. The platform shifts businesses away from application-centric architectures by treating data as a strategic resource that can be managed across on-premises, cloud, and edge environments. Everpure combines unified storage, intelligent control, data intelligence, Evergreen architecture, and as-a-service delivery into one layered platform. It helps enterprises discover, classify, map, secure, automate, and act on data while supporting workloads from archive and databases to high-performance AI pipelines. The platform is built to reduce data silos, dark data risk, manual infrastructure work, and operational complexity while improving reliability, utilization, cyber resilience, and energy efficiency. -
25
Auraa
Covasant Technologies Private Limited
Auraa is Covasant's Databricks-native, agent-driven data platform which is the fastest path to AI-ready data on Databricks. With its conversational AI capabilities in natural language, enterprises can use agents to discover various data sources, build pipelines, enforce data quality, and register everything in Unity Catalog autonomously, from day one. Auraa eliminates pipeline code, engineering backlog, and months of manual configuration. While creation of a data lake on Databricks usually takes more than 18-24 months, Auraa onboards the first source in under 15 minutes, deploys the first use case within hours, and shrinks the overall deployment timeframe to about 8-10 weeks, and reduces the overall implementation cost by upto 70%. Auraa treats every data engineering decision as structured, versioned, governed metadata rather than fragile hand-coded pipelines. Auraa ensures Databricks lakehouse is reproducible, auditable, and continuously improvable by agents. -
26
Modern DataOS
The Modern Data Company
The Modern Data Company’s flagship offering is DataOS, a data operating system that radically simplifies how organizations unify, manage, and activate data at scale by turning raw data into governed, reusable, AI-ready data products that power insights and decisions without slowing teams down. DataOS lays a composable, open layer on top of existing data infrastructure so businesses can discover and activate trusted data products with built-in policies, ownership, traceability, and a universal semantic layer that standardizes metrics and definitions across domains, reducing complexity and hidden costs while accelerating time to value. It features robust discovery and search capabilities so users can browse curated, business-ready data products by domain or use case, coupled with global metrics and lifecycle management to monitor usage, performance, adoption, and ROI of data products throughout their lifecycle. -
27
OneTrust Data Use Governance
OneTrust
OneTrust Data Use Governance is a data governance solution that helps organizations apply and enforce data usage policies across modern data and AI environments. As part of the OneTrust AI-Ready Governance Platform, it connects governance policies directly to native data controls to enable real-time, automated policy enforcement. The platform helps organizations accelerate responsible data access by replacing manual approval processes with policy-driven governance. It uses AI-powered data classification to identify structured and unstructured data while capturing business, regulatory, consent, and data context for more accurate governance decisions. Machine-readable labels and programmatic controls help ensure data is used according to its intended purpose while supporting compliance and audit requirements. -
28
OvalEdge
OvalEdge
OvalEdge is a cost-effective data catalog designed for end-to-end data governance, privacy compliance, and fast, trustworthy analytics. OvalEdge crawls your organizations’ databases, BI platforms, ETL tools, and data lakes to create an easy-to-access, smart inventory of your data assets. Using OvalEdge, analysts can discover data and deliver powerful insights quickly. OvalEdge’s comprehensive functionality enables users to establish and improve data access, data literacy, and data quality.Starting Price: $1,300/month -
29
VE3 DataWise
VE3 Global
DataWise is a purpose-built solution for SAP data modernization. It bridges SAP (ECC or S/4HANA) and the Databricks Lakehouse to transform siloed operational data into a trusted, analytics-ready foundation for real-time decisions and AI innovation. DataWise accelerates value with SAP-native connectors and prebuilt models for common modules (SD, MM, PM, Finance, Ariba, SuccessFactors). Automated ELT pipelines land data into Delta Lake, while MatchX AI-powered data quality engine performs cleansing, standardization, deduplication, and entity matching to raise data accuracy and completeness at scale. Governance is enforced end-to-end through Unity Catalog, fine-grained access controls, and lineage. Once standardized and governed, DataWise activates your SAP data across BI dashboards, machine-learning features, and event-driven workflows without disrupting core ERP. -
30
DvSum
DvSum
DvSum is a AI-powered Data Intelligence platform that makes it remarkably easier for your data and analytics teams to discover, monitor, and govern data. With powerful AI-enabled algorithms, DvSum automatically catalogues, classifies, and curates your data and makes it available as an actionable Data Catalog. Propel your enterprise towards its digital and analytics enabled transformation goals with DvSum Data Intelligence.Starting Price: $1000/ per month -
31
Graphwise
Graphwise
Graphwise is an AI platform that helps businesses automate knowledge and trust their AI by turning fragmented data into a trusted semantic backbone. The all-in-one suite makes generative AI reliable and scalable by transforming data into AI-ready, context-rich assets, deploying intelligent agent-based systems, and delivering powerful AI applications on an integrated platform. Graphwise moves beyond simple data chunks with Precise GraphRAG, using a governed knowledge graph to ground every response in verified facts, eliminate hallucinations, and provide accurate, actionable answers. It combines automated modeling, high-performance graph technology, semantic search, recommendation, taxonomy and ontology management, data automation, graph-based text mining, and enterprise-ready GraphRAG workflows. It supports use cases such as technical knowledge management, semantic digital twins, compliance intelligence, and scientific knowledge management. -
32
Knoema
Knoema
Search, discover, catalog and access your data seamlessly. Knoema’s DataHub solves enterprise workflow challenges across all areas of the business by being the lens on top of any enterprise’s data assets. 8x reduction in time to value in comparison to internal build. Seamless connectivity to internal and third-party data. Fast and simple search to discover new data. Data accessibility during cloud adoption and digital transformation. Our catalog continues to grow through new datasets every day. Find 1st party, public, or 3rd party data with ease. Add new data subscriptions without the overhead. Filter across your data, your 3rd party licensed data, and new data that is pre-integrated into Knoema to get the right data for your needs. Insight and action based on unique user workflows. Foster and achieve organizational data literacy. Integrate and embed insights into other solutions. Track action and usage with data governance tools. -
33
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. -
34
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. -
35
Informatica Cloud Data Marketplace
Informatica
Enable fast, safe data sharing with a data shopping experience to access data with confidence. Responsibly share trusted data products that fuel analytics and AI initiatives. Allow teams to locate, request, and evaluate relevant data with self-service access. Automate trusted data sharing, aligned to governance policies. Share and promote curated data sets, AI/ML models, and pipelines, from a broad variety of sources. Streamline processes from order to delivery and easily track operational metrics. Help improve data literacy through insights and reviews to promote the next-best actions to take on data. Share insights and connect teams across the enterprise with chat, reviews, alerts, and user ratings. A data-sharing marketplace is a portal that acts as an intermediary between data producers and data consumers. A data marketplace enables organizations to find, understand, trust, and access relevant data quickly through automation. -
36
Mozilla Data Collective
Mozilla
Mozilla Data Collective is a platform built to rebuild the AI-data ecosystem by putting communities at its center. It gives data-creators and stewards the power to share datasets on their own terms, retaining ownership and controlling who accesses their data and under what conditions. Users can upload datasets, choose licenses (such as Creative Commons or bespoke terms), set access rules, require compensation or recognition, and govern datasets as individuals, cooperatives, or trusts. The platform emphasises ethical stewardship, transparency, and community agency, challenging extractive models of data harvesting and enabling more equitable participation. It hosts more than 300 high-quality global datasets created by and for communities, covers a wide range of use-cases (for example, multilingual speech-data collections), and makes developer-friendly tools available (such as a public API) so datasets can be integrated into applications. -
37
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. -
38
Simplify big data operations and build intelligent knowledge libraries with Data Lake Governance Center (DGC), a one-stop data lake operations platform that manages data design, development, integration, quality, and assets. Build an enterprise-class data lake governance platform with an easy-to-use visual interface. Streamline data lifecycle processes, utilize metrics and analytics, and ensure good governance across your enterprise. Define and monitor data standards, and get real-time alerts. Build data lakes quicker by easily setting up data integrations, models, and cleaning rules, to enable the discovery of new reliable data sources. Maximize the business value of data. With DGC, end-to-end data operations solutions can be designed for scenarios such as smart government, smart taxation, and smart campus. Gain new insights into sensitive data across your entire organization. DGC allows enterprises to define business catalogs, classifications, and terms.Starting Price: $428 one-time payment
-
39
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. -
40
Dataedo
Dataedo
Discover, document and manage your metadata. Dataedo is equipped with multiple automated metadata scanners that connect to various database technologies, extract data structures and metadata, and load them into the metadata repository. With a few clicks, build a catalog of your data and describe each element. Decrypt table and column names with business-friendly aliases, provide meaning and purpose of data assets with descriptions and user-defined custom fields. Use sample data to learn what data is stored in your data assets. Understand the data better before using it and make sure that the data is good quality. Ensure high data quality with data profiling. Democratize access to knowledge about data. Build data literacy, democratize data and empower everyone in your organization to make better use of your data with a lightweight on-premises data catalog. Boost data literacy through a data catalog.Starting Price: $49 per month -
41
Azure Data Catalog
Microsoft
In the new world of data, you can spend more time looking for data than you do analyzing it. Azure Data Catalog is an enterprise-wide metadata catalog that makes data asset discovery straightforward. It’s a fully-managed service that lets you—from analyst to data scientist to data developer—register, enrich, discover, understand, and consume data sources. Work with data in the tool of your choice. Data Catalog lets you find the data you need and use it in the tools you choose. Your data stays where you want it, and Data Catalog helps you discover and work with it where you want, with an intuitive user experience. ncrease broad adoption and continuous value creation across your data ecosystem. Data Catalog helps you get tips, tricks, and unwritten rules into an experience where everyone can get value. With Data Catalog, everyone can contribute. Democratize data asset discovery.Starting Price: $1 per user per month -
42
ER/Studio Business Architect
IDERA, an Idera, Inc. company
Create conceptual and business process models for business architecture. Design business process and conceptual models to align with business goals. Map and model the relationships between people, processes, and data. Easily export conceptual models to ER/Studio Data Architect to create logical models. Quickly validate that business process models meet BPMN 2.0 specifications. Comply with regulatory requirements by identifying sensitive data elements.Starting Price: $920 per user (workstation) -
43
Cube
Cube Dev
Cube is a platform that provides a universal semantic layer to simplify and unify enterprise data management and analytics. By transforming how data is managed, Cube eliminates the need for inconsistent models and metrics, delivering trusted data to users while making it AI-ready. This platform helps organizations scale their data infrastructure by integrating disparate data sources and creating consistent metrics that can be used across teams. Cube is designed for enterprises looking to enhance their analytics capabilities, make their data accessible, and power AI-driven insights with ease. -
44
Prefect Horizon
Prefect
Prefect Horizon is a managed AI infrastructure platform within the broader Prefect product suite that lets teams deploy, govern, and operate Model Context Protocol (MCP) servers and AI agents at enterprise scale with production-ready features such as managed hosting, authentication, access control, observability, and tool governance. It builds on the FastMCP framework to turn MCP from just a protocol into a platform with four core integrated pillars, Deploy (host and scale MCP servers quickly with CI/CD and monitoring), Registry (a centralized catalog of first-party, third-party, and curated MCP endpoints), Gateway (role-based access control, authentication, and audit logs for secure, governed access to tools), and Agents (permissioned, user-friendly agent interfaces that can be deployed in Horizon, Slack, or exposed over MCP so business users can interact with context-aware AI without needing MCP technical knowledge).Starting Price: Free -
45
AWS Marketplace
Amazon
AWS Marketplace is a curated digital catalog that enables customers to discover, purchase, deploy, and manage third-party software, data products, AI agents, and services directly within the AWS ecosystem. It provides access to thousands of listings across categories like security, machine learning, business applications, and DevOps tools. With flexible pricing models such as pay-as-you-go, annual subscriptions, and free trials, AWS Marketplace simplifies procurement and billing by integrating costs into a single AWS invoice. It also supports rapid deployment with pre-configured software that can be launched on AWS infrastructure. This streamlined approach allows businesses to accelerate innovation, reduce time-to-market, and maintain better control over software usage and costs. -
46
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. -
47
Databricks Genie Code
Databricks
Genie Code is an AI agent built for data teams that analyzes, builds, and maintains complex data workflows inside the Databricks workspace. It autonomously plans and executes multistep tasks while adapting to an organization’s data and governance model, with specialized capabilities across data engineering, data science, machine learning, and business intelligence. Grounded in Unity Catalog metadata, semantics, and governance, it can identify authoritative tables, metrics, and assets, understand dependencies across data and AI systems, and respect existing access controls. For data science, Genie Code can find and clean data, explore datasets, test hypotheses, and generate shareable reports. Machine learning workflows include feature engineering, model training and evaluation, deployment, endpoint configuration, and performance tuning. Data engineers can use natural language to automate ETL workloads, optimize queries, and build Spark Declarative Pipelines. -
48
Data Commerce Cloud
Data Commerce Cloud
Reach more in-market data buyers with easy, 1-click data marketplace integrations for your entire data catalog. One platform to easily scale your entire data business. Put your data offering in the spotlight and reach data buyers across channels. Build a consistent data product catalog with automated data samples and data dictionaries. Publish your data catalog on your own website and showcase your offering to potential customers. Sync your data products to multiple data marketplaces and data catalogs with just a click of a button. Supercharge your data sales pipeline by managing all incoming demand in a central inbox. Share data sample previews across marketplaces and track who's viewing your sample data. Understand how your data products perform across channels in terms of visibility and conversion. Our software subscription plans are built for data providers from startup to IPO. Data buyers are waiting to find your data offering, we make it easy to create visibility. -
49
Human Native
Human Native
We’re bringing together rights holders and AI developers. Helping rights holders get compensation for copyrighted works. Enabling AI developers to responsibly acquire high-quality data. A comprehensive catalog of rights holders and their works. We help AI developers find the high-quality data they need. Rights holders have granular control over which individual works are open or closed to AI training. Monitoring solutions for detecting the misuse of copyrighted material. Enabling revenue for rights holders by licensing work for training with recurring subscriptions or revenue share. We help publishers get their content or data ready for AI models. We index, benchmark, and evaluate data sets to demonstrate their quality and value. Upload your catalog to the marketplace for free. Be compensated fairly for work. Opt-in and out of generative AI usages. Receive alerts for potential copyright infringement. -
50
Fabacus Xelacore
Fabacus
Create a robust and retail standards-compliant product catalog to be at the core of all your business initiatives, with unique identifiers and associated digital assets, validated and authenticated by all stakeholders. Create a centralized view of your products as Xelacore Register allows you to benefit from the foundation of quality, structured, standardized data. Through an authenticated set of product data that boosts product integrity and online discoverability. Through syndication with retailers and online marketplaces for the removal of illegitimate products. With consistent product information and a quality data structure boosting SEO ranking. An upfront, product catalog means less time required for royalty reporting and reconciliation. By centralizing authenticated product data and creating a single source of truth. By helping consumers make informed purchases with a consistent brand and product representation.
