Actian VectorAI DB is a data intelligence platform that combines federated knowledge graphs, real-time data observability, and conversational analytics. It provides AI with semantic understanding, lineage, and business context, enabling accurate, governed AI agents that scale with trust and control.
Free Trial
$499/month
How to use Actian VectorAI DB?
Actian VectorAI DB unifies data cataloging, observability, and conversational analytics. Users connect data sources via 100+ connectors, build federated knowledge graphs for semantic context, and query data using natural language in Slack or Teams. It automates governance, monitors data health, and provides trust signals for AI agents, enabling faster, more accurate insights without manual checkpoints.
Actian VectorAI DB 's Core Features
Federated Knowledge Graph: Gives every data asset a semantic identity, enabling AI to understand business meaning, not just column names. Bottom-up cataloging across all sources ensures context-rich data discovery.
Real-Time Data Observability: Continuously monitors data health, validates quality in real time, and enforces data contracts. Provides automated trust signals for AI agents, eliminating the need for human checkpoints.
Conversational Analytics: Natural language interface (NL-to-SQL) embedded in Slack and Teams allows business users to ask questions and get instant, governed answers with approved templates and real-time validation.
Contract-First Governance: Embeds security policies, business logic, and quality standards directly into data contracts. Ensures compliance with automated audit trails and field-level lineage, passing audits without slowing innovation.
AI Agent Activation: Enables AI agents to verify data through contracts, understand context via knowledge graphs, and monitor it with observability. Delivers accurate, consistent results with full transparency into answer generation.
100+ No-Code Connectors: Provides a single pane of glass across the entire data ecosystem. Sync data from diverse sources using pre-built connectors and APIs, accelerating deployment from months to days.
Data Marketplace & Catalog: Centralized platform for discovering, accessing, and sharing data products. Includes peer-to-peer sharing, data access request management, and a Chrome plugin for BI dashboards.
Actian VectorAI DB 's Use Cases
Data leaders can eliminate 80% of time wasted searching for data using AI-powered natural language search and federated knowledge graphs.
Data quality teams replace rigid validation workflows with watchlists and automated trust signals, maintaining visibility without blocking contributors.
AI/ML engineers reduce the 60% AI failure rate by enabling agents to verify data through contracts and understand context via knowledge graphs.
Business analysts query data in Slack or Teams using natural language, getting instant, governed answers without needing SQL knowledge.
Compliance officers maintain automated audit trails with field-level lineage, passing audits while allowing AI innovation to continue.
Enterprises achieve 140% ROI by deploying 11 models in production, as demonstrated by GEMA's data-to-AI journey with Actian.
Actian VectorAI DB 's Pricing
Starter
$499/month
For individual users getting started with conversational analytics. Includes 100 Quick Analysis Messages, 5 Deep Analysis Messages, 25 Steward Messages, 1 AI Analyst, 10 Active Models per AI Analyst, Slack & Teams apps.
Growth
$1,699/month
Most Popular. For teams collaborating and scaling analysis. Includes 500 Quick Analysis Messages, 25 Deep Analysis Messages, 50 Steward Messages, 5 AI Analysts, 50 Active Models per AI Analyst, Slack & Teams apps.
Scale
$2,999/month
For organizations with higher usage and governance needs. Includes 1500 Quick Analysis Messages, 50 Deep Analysis Messages, 100 Steward Messages, 10 AI Analysts, 100 Active Models per AI Analyst, Actian AI Analyst API.
