Best Machine Learning Data Catalog Software

Microsoft Purview is Microsoft's unified data security, governance, and compliance suite for data held in Microsoft 365, Azure, and other clouds such as AWS and Google Cloud. Its Data Map and Unified Catalog scan and catalog data assets, track lineage, and support governance domains, while its compliance tools cover sensitivity labeling, data loss prevention, insider risk management, eDiscovery, and audit logging for regulations like GDPR and HIPAA.

Purview is licensed in two main ways: as part of Microsoft 365 subscriptions such as E5, or as a standalone Purview Suite add-on for E3 customers, alongside pay-as-you-go consumption pricing for non-Microsoft 365 sources billed through Azure. Microsoft 365 E5 costs $60 per user per month billed yearly, and the Purview Suite add-on costs $12 per user per month; a free trial is available.

Alation is an enterprise data catalog that uses machine learning to help teams find, understand, and trust data across their systems. Its ALLIE AI assistant recommends metadata descriptions and helps populate the catalog automatically, while lineage tracking covers both technical pipelines and business-facing dashboards and policies. Alation Anywhere brings catalog search into everyday tools like Excel, Teams, and Slack, and Compose lets teams share and reuse vetted queries.

The platform integrates with more than 100 data sources, BI tools, and applications, and connects to external data quality tools through its Open Data Quality Framework. Alation does not publish pricing; the subscription is based on the number of users and the access rights each one needs, so prospective customers must contact Alation's sales team directly for a custom quote.

Informatica's Intelligent Data Management Cloud (IDMC) is a cloud-native platform that unifies data integration, data quality, data governance and cataloging, application integration, and master data management. It offers a low-code Cloud Designer for building integration mappings, a large library of pre-built connectors, and the CLAIRE AI engine, which automates metadata tagging, mapping suggestions, and other data management tasks, including a conversational CLAIRE GPT interface.

IDMC runs across multi-cloud and hybrid environments with elastic, serverless processing, and it holds SOC 1, SOC 2, and FedRAMP certifications among others. Pricing is consumption-based, measured in Informatica Processing Units that scale with data volume and usage across services, and Informatica does not publish list prices; organizations must request a quote. A free trial of Cloud Data Integration is available for hands-on evaluation.

Collibra is a data intelligence platform that unifies data cataloging, governance, lineage, data quality and observability, and privacy management in a single system. Its catalog connects data producers and consumers across an organization, while governance workflows let teams define policies, certify data products, and track where sensitive data lives. The platform includes over 100 native integrations and an AI governance layer for tracking models, datasets, and approvals.

Collibra is aimed primarily at large enterprises and does not publish pricing publicly; the platform is sold on a custom annual subscription basis, with modules such as Data Quality and AI Governance priced separately. Organizations must contact Collibra's sales team for a quote, and because pricing isn't published, actual costs vary significantly depending on user count, modules, and deployment scope.