AI TOOL PROFILE
Actian Data Intelligence Platform
- Data and Analytics
- Data Management
- Enterprise companies
- Data and IT leaders
- Data Quality and Governance leads
- AI/ML Engineering leaders
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise companies, Data and IT leaders, Data Quality and Governance leads, AI/ML Engineering leaders
- Key use cases
- Regulatory Compliance, Self-Service Analytics, AI Activation, Data Discovery
- Integrations
- Snowflake, Azure, AWS, Tableau, Power BI
- Official website
- Visit actian dataconnect official website
How AI is used
Actian Data Intelligence is a platform designed to provide visibility and control over distributed data environments. It uses a federated knowledge graph to link data assets, which may help teams understand the context and lineage of their information across the organization.
The software targets data architects, governance leads, and AI engineering teams. It provides two main applications: Explorer, for business users to discover data, and Studio, for data stewards to manage metadata and curation.
The platform supports data observability and contract-first governance to help organizations maintain data quality and meet regulatory requirements. It is designed to serve as a foundation for agentic AI by providing semantic understanding and trusted data layers.
Buyers should confirm if the platform's technical scale aligns with their current operational requirements, as it is geared toward enterprise-level data environments.
Key Features
Federated Knowledge Graph
Creates relationships between data assets to provide semantic understanding across the enterprise ecosystem.
AI-Powered Natural Language Search
Supports data discovery through a conversational interface, allowing users to search for data using business language.
Automated Data Lineage
Maps the lifecycle of data from collection to consumption with interactive visualization to track transformations.
Contract-First Governance
Supports the embedding of security policies and reliability standards into data products with automated violation detection.
Automated PII Detection
Uses AI to identify, classify, and tag personally identifiable information across data sources.
Data Observability
Monitors data integrity from ingestion to consumption and identifies anomalous activity to flag data drift.
Use Cases
Regulatory Compliance
Supports audits and reporting for regulations such as GDPR, HIPAA, CCPA, and the EU AI Act through automated classification and lineage.
Self-Service Analytics
Provides business users with a data marketplace to find and use trusted data.
AI Activation
Prepares data for AI agents using an MCP server to deliver metadata and context.
Data Discovery
Centralizes metadata from various sources to help data teams locate and understand available assets.
Integrations
- Snowflake
- Azure
- AWS
- Tableau
- Power BI
- SQL Server
- Oracle
- SAP
- MongoDB
- Databricks
- Slack
- Microsoft Teams
FAQ
What is the purpose of Actian Data Intelligence?
- It is designed to help enterprises discover, govern, and trust their data by using a knowledge graph to create relationships between data assets and providing AI-powered search.
Who are the primary users of the platform?
- The platform is built for Data and IT leaders, Governance leads, and AI/ML engineers, featuring dedicated applications for both business users and data stewards.
Does Actian support regulatory compliance?
- Yes, the platform includes tools for automated classification and audit trails to support regulations such as GDPR, HIPAA, CCPA, and the EU AI Act.
Source category: Data & Analytics
Source subcategory: Data Management
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