Businesses collect enormous amounts of information from databases, cloud platforms, business applications and analytics tools. But as data spreads across more systems, finding the right information — and understanding whether it’s accurate, relevant and safe to use — becomes increasingly difficult.
Top Data Catalog Tools
Alation
Atlan
Databricks
Google Cloud
Informatica
Data catalog tools help organizations tackle this challenge by creating searchable inventories of data assets, documenting what information means, tracking where it comes from and identifying who is responsible for maintaining it. These capabilities help data engineers, analysts and business users find useful information without having to navigate every underlying system themselves.
For example, a business analyst investigating customer retention may need to find customer profiles, purchase histories and account activity across several systems. A data catalog can help the analyst locate relevant datasets, identify who maintains them, understand how the company defines a “retained customer” and trace how the data feeds into reports or dashboards. This context helps the analyst choose the most appropriate data sources.
Here’s how data catalog tools work and what to know about the leading platforms on the market.
What Is a Data Catalog Tool?
A data catalog tool is software that discovers, organizes and documents an organization's data assets in a centralized, searchable inventory. These assets can include database tables, files, data warehouse records, business intelligence dashboards, data pipelines and machine learning models.
Rather than storing or analyzing all the underlying data itself, a catalog typically connects to databases, data warehouses, business applications and reporting tools to collect and organize metadata that describes what each dataset contains, where it came from and when it was last updated. Data engineers and governance teams typically use catalogs to document and manage data, while analysts and business users can use them to find relevant information.
Most data catalog tools provide several core capabilities:
Data discovery: Search and browse available data assets using keywords, descriptions, tags, business terms or other metadata.
Metadata management: Document technical details, business definitions, data owners, classifications and other information that helps users interpret datasets.
Data lineage: Trace where data originates, how it changes as it moves through systems and which reports, applications or models depend on it.
Data governance: Support policies and workflows for data access, privacy, quality, compliance and ownership.
Collaboration: Allow data users and subject matter experts to add documentation, certify trusted datasets and share context with colleagues.
AI-assisted discovery: Use natural-language search, automated descriptions and other AI capabilities to help users find relevant information and provide context for AI applications.
Modern catalogs are also becoming an important part of enterprise AI infrastructure. By connecting data with business definitions, lineage and governance policies, they can provide AI applications with context to help interpret information. Some also offer features that help autonomous AI agents find and use relevant data on their own.
Top Data Catalog Tools
Google Cloud’s Knowledge Catalog, formerly known as Dataplex Universal Catalog, is Google's cataloging and governance product for enterprise data. Its capabilities include metadata discovery, lineage, data quality, business glossaries and governance controls. It also supports AI readiness by enriching metadata with business definitions and relationships, facilitating semantic search and making contextual information available to AI agents.
IBM’s watsonx.data intelligence is a data and metadata management platform that combines data cataloging with data quality assessment, metadata enrichment, privacy management and data governance. It also includes industry-specific business vocabularies called Knowledge Accelerators, which can help organizations establish consistent definitions and terminology for their data.
Developed by Collate, OpenMetadata is an open-source platform for data cataloging, metadata management, lineage, quality and governance. Its capabilities include searchable metadata, business glossaries, ownership information, data profiling, table- and column-level lineage, data quality checks and impact analysis. The platform also supports APIs and integrations that help teams collect and exchange metadata across their infrastructure.
Microsoft’s Purview Unified Catalog is part of Microsoft Purview, a broader portfolio covering data governance, security and compliance. It helps organizations discover and organize data assets, manage business definitions and group related resources into data products. It also supports governance domains, quality controls, self-service access requests and workflows for managing data stewardship. An AI-powered copilot can assist users with catalog searches.
AWS’s Glue Data Catalog is a managed metadata repository within the AWS Glue data integration service. AWS Glue crawlers can scan supported data sources and extract metadata automatically, reducing the need to register every dataset manually. The resulting catalog integrates with AWS analytics services, and it works with AWS Lake Formation to support data access management.
Informatica, which was acquired by Salesforce in 2025, offers a data catalog tool as part of its Intelligent Data Management Cloud platform. The catalog uses AI to automate metadata discovery, classification and enrichment. Other capabilities include data lineage, profiling, quality rules, natural-language search and a knowledge graph that represents relationships between data assets.
DataHub is an open-source data catalog and metadata management platform that helps organizations discover, document and govern data across their technology ecosystems. Its capabilities include searchable metadata, data lineage, ownership tracking, data profiling and data quality monitoring. Teams can deploy the open-source version on their own infrastructure or use DataHub Cloud, a managed offering with additional governance, observability and AI-focused features.
Ataccama’s Data Catalog is a data management platform that combines cataloging with data quality, observability and governance capabilities. It helps organizations discover data assets, identify who owns them and trace how data moves between systems. Its AI-powered features can automate metadata descriptions, suggest business terms and assess data trustworthiness using quality and governance signals.
.png)
Unity Catalog, the governance layer built into the Databricks platform, provides centralized discovery, access controls, auditing and lineage for data and AI assets. It organizes assets such as tables, views, files, models and functions into a consistent structure. Its lineage capabilities track how information moves through tables, notebooks, jobs and pipelines, and it also supports data classification, quality monitoring and governance for AI assets.
Horizon Catalog provides cataloging and governance capabilities within Snowflake’s data platform. The platform brings together metadata, semantic context, lineage and governance controls. Users can explore data assets, inspect their relationships and use business-aligned definitions to help interpret information. Horizon also supports sensitive data classification, quality monitoring and policies designed to govern data access.
Alation helps organizations discover, understand and share data across their analytics environments. Connecting to more than 120 data sources, it can provide insight into data lineage and data quality and help organizations with data governance. Alation automatically updates catalog records with every interaction to provide up-to-date information, and it analyzes usage patterns to recommend relevant datasets.
Atlan is a data catalog and metadata management platform that helps organizations discover, understand and manage data across their technology stack. It allows users to search for datasets, explore data lineage, identify asset owners and document definitions to help colleagues interpret information consistently. Atlan also offers AI-assisted features that generate descriptions, summarize data relationships and help users find information using natural language.
Frequently Asked Questions
What is a data catalog tool?
A data catalog tool is software that helps organizations find, understand and manage data across different systems. It creates a searchable inventory of data assets, using metadata to describe what datasets contain, where they come from, who maintains them and how they relate to other information.
What is a data catalog example?
Atlan and Alation are examples of data catalog tools. Organizations can also use cloud-based options such as AWS Glue Data Catalog or Databricks Unity Catalog to organize information about their data assets, track relationships between datasets and help employees find relevant information.
Why do companies use data catalog tools?
Companies use data catalog tools to make data easier to find, understand and manage across databases, cloud platforms and business applications. These tools help employees identify reliable data sources, clarify metric definitions, trace data lineage and improve collaboration between technical teams and business users.
