The data catalog your whole team will actually use
With Actian’s knowledge-graph-powered catalog, business users find what they’re looking for, engineers stop fielding requests, and AI projects get the context they need.
Your AI depends on data—do you know where yours is?
of organizations don’t have ML-powered data cataloging
Source: Gartner
of organizations are still doing manual data inventory
Source: Gartner
more trust for explicitly modeled decisions by 2029
Source: Gartner
One data catalog, every use case covered
Improve your data’s searchability and availability
- Context-aware search: It’s easier to find relevant data products, visualizations, definitions, and more because Actian’s search is powered by a federated knowledge graph—meaning results based on concepts, not just keywords.
- Enterprise data marketplace: Your users can browse and discover trusted data products in a single central location, helping them independently find what they need and enabling self-serve analytics.
- Automated assistance: Discoverability-boosting tasks like categorization, tagging, and updating metadata are faster and easier with built-in AI assistance and automated metadata harvesting and synchronization.
- MCP server: See your data quality results in the AI assistants and agent workflows you’re already using: they’re easily (and securely) shareable via the MCP Server.
- Cloud-native, federated approach: Actian Data Intelligence is accessible from any device because it’s a cloud-native platform.
Upgrade your data governance capabilities
- Business glossary: Create alignment between business and technical teams: build shared definitions for policies, KPIs, and critical business terms like current customer, active account, or net revenue in the business glossary.
- Flexible models: Get powerful enrichment for your data with a flexible metadata template for documentation and an intuitive interface that visualizes relationships between objects, domains, data products, custom assets, glossary terms, and more.
- Active metadata: Understand how complete your data catalog is, how it’s being used, and more with active metadata analytics.
- Conversational analytics: Actian’s integrated AI Analyst lets users query your data and metadata in natural language and get results grounded in your data catalog and business definitions.
- PII and security insight: Achieve compliance faster and protect your sensitive data with tools for security classification, PII identification, and tagging.
Boost your data engineering outcomes
- Smart data lineage: Get better impact analysis and improved business continuity for projects like warehouse migrations, platform transitions, and schema changes when you’re supported by Actian’s smart lineage with field-level granularity.
- Automated updates: Automatic metadata monitoring and synchronization ensure that your impact analysis and data quality troubleshooting are based on your most current metadata.
- Business glossary: Business context is always close at hand with Actian’s unified data catalog and business glossary, while data curation and ownership assignments ensure that any questions go to the right people.
- Data products: Your data teams spend less time answering one-off data requests when users can find trusted, documented data products in Actian’s enterprise data marketplace.
Ensure AI-ready data
- Single semantic layer: Align your data, metadata, and organization around a shared understanding based on a catalog with comprehensive taxonomy and ontology management.
- Steward workflow support: Building a shared context layer is easy in Actian’s data catalog, which features a flexible metamodel template, an intuitive drag-and-drop interface, and visualizations powered by a knowledge graph.
- Data quality and observability: Continuously qualify your data’s validity, verify its readiness, and assess its quality with data observability. AI assistance helps you quickly deploy proactive, shift-left quality rules with 100% coverage.
- Trusted data products: Create, share, and discover customer-centric, contract-governed data products directly in the platform, or import and publish them: Actian supports the ODSC and ODPS standards.
The catalog that finds your data, wherever it lives
The more complete and more detailed your data catalog is, the better your AI and analytics can perform. Start building your AI-ready data catalog with Actian: we have native support for 100+ data sources, and your metadata will be automatically discovered and kept current.
Modern data stack sources (Snowflake, Redshift, S3)
Legacy data environments (on-premise)
Semi-structured data (JSON, Parquet)
High-performance engines (Iceberg)
Specialized and NoSQL databases (Cassandra, DynamoDB)
BI tools (PowerBI, Tableau)
The catalog that finds your data, wherever it lives
The more complete and more detailed your data catalog is, the better your AI and analytics can perform. Start building your AI-ready data catalog with Actian: we have native support for 100+ data sources, and your metadata will be automatically discovered and kept current.
Modern data stack sources (Snowflake, Redshift, S3)
Legacy data environments (on-premise)
Semi-structured data (JSON, Parquet)
High-performance engines (Iceberg)
Specialized and NoSQL databases (Cassandra, DynamoDB)
BI tools (PowerBI, Tableau)
Up and Running in Weeks. Used by Everyone.
Most data catalogs collect dust. Book a 30-minute demo, and we’ll show you how Actian deploys in weeks, not months, and drives adoption across technical and business users alike.
What you’ll see in the demo:
- How a federated knowledge graph gives every user and AI model the context they need to trust your data.
- What widespread adoption actually looks like in customer environments.
- Why business users can find and trust data without filing a ticket.
Request a Product Demo
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