Active metadata management for analytics and AI readiness
Actian gives your data the context it needs to be found, trusted and used—by your team and your AI.
Your AI is only as good as the data behind it
can’t find or don’t trust their data for AI
Source: Gartner
aren’t AI-ready with their data
Source: Gartner
are missing active metadata management
Source: Gartner
Unlock context from metadata
Make compliance easier
Traceable, audit-ready data flows and an up-to-date inventory of your PII data support your compliance efforts.
Enable self-service data
An enterprise data marketplace with documented, trusted, and vetted data means your users can find the data they need for self-service analytics, fast.
Be AI-ready
A unified semantic layer provides the context your AI projects need to produce actionable answers.
Build trust
Proactive data observability with 100% coverage helps you build a culture of confidence in your data.
Maximize the value of your metadata for smarter, more accurate AI
Increase your data usability
- Unified data catalog: Centralize the discovery and management of your data sources and their metadata with Actian’s data catalog.
- Metadata discovery: Get an always up-to-date picture of your metadata with Actian’s automatic detection, collection, and synchronization
- AI assistance: Curation and enrichment activities like categorization and tagging are faster and easier with built-in AI assistance.
- Shareability: Make your data consumable anywhere with a variety of output formats, including real-time API and ETL; with Actian’s ODCS and ODPS support, you can also import, publish, and share data products.
Strengthen your data governance
- Graph-driven business glossary: Clear definitions of business terms, policies, and KPIs are centralized in Actian’s business glossary, providing a single source of truth.
- Smart data lineage: Get a complete picture of your entire data ecosystem with automated, cross-platform lineage mapping.
- PII and security classification: Protect your most sensitive data and achieve compliance faster with tools like security classification, PII identification, and tagging for your data.
- Workflow management: Key workflows—including quality rule management, metadata search and sharing, and catalog and glossary building—are easier for data stewards with Actian’s dedicated tools.
Improve your data engineering
- Active metadata: See which data assets your users are viewing, compare adoption rates, evaluate your data catalog’s completeness, and more with active metadata analytics.
- Data lineage: See where your data goes and how it’s transformed along the way with a detailed cross-platform data lineage graph, including automated mapping.
- Data profiling: AI classification tools based on comprehensive profiling and statistical analysis help you get visibility into what data you have—quickly.
- Data quality and observability: Deploy proactive, shift-left quality rules fast with AI assistance: with 100% coverage, you can confidently verify whether your data is fit for purpose.
Accelerate your AI readiness
- Unified semantic layer: Build a single view that contextualizes your enterprise’s data without compromising domain autonomy using the federated knowledge graph architecture.
- Ontology management: Create a critical semantic layer with comprehensive taxonomy and ontology management in Actian’s data catalog and business glossary.
- MCP server: Get easy and secure access to your data quality results via your favorite AI assistants and agent workflows via the MCP Server.
- Built-in conversational analytics: Use natural language to query Actian AI Analyst for fast, catalog-grounded results.
Support a modern data architecture
- Enterprise marketplace: Search, share, and browse metadata and data products in the enterprise data marketplace.
- Data products: Create customer-centric, contract-governed data products on a platform that makes it easy to discover, access, and share them.
- Maximum connectivity: 100+ connectors plus custom connector options ensure you can get a single view of your entire data environment.
- Cloud-native, federated approach: A cloud-native platform means your users can access Actian Data Intelligence from any device.
Automate metadata harvesting across your entire data environment
The more complete and more detailed metadata you have, the better your AI performs. Start building your AI-ready metadata repository 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)
Automate metadata harvesting across your entire data environment
The more complete and more detailed metadata you have, the better your AI performs. Start building your AI-ready metadata repository 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)
Trusted by data and AI leaders
Ready to Start Up Active Metadata Management in Your Environment?
Talk to one of our data experts to learn:
- How Actian Data Intelligence can support your use case.
- Why our modern data intelligence solution has lower implementation and ongoing costs than legacy solutions.
- Why we consistently see widespread adoption within our customer organizations.
You could be up and running in just weeks.
Request a Product Demo
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