Description
The Actian Analytics Engine is a robust platform that empowers organizations to transform complex data landscapes into AI-ready assets. Built for the AI era, it leverages knowledge graph technology to provide complete visibility and control over enterprise data. This platform is particularly beneficial for Fortune 100 companies, enabling them to discover, understand, and trust their data across any environment.
Actian Analytics Engine offers a unified platform that supports data discovery, governance, observability, and AI-powered stewardship. It is designed to democratize access to data, establish trust, and activate AI at an enterprise scale. The platform's federated knowledge graph with domain-specific ontologies maintains local autonomy while connecting to the enterprise semantic layer, ensuring regulatory compliance and risk mitigation.
The platform is cloud-native and supports deployment across cloud, hybrid, and on-premises environments. It connects to a wide range of data sources, including databases, data warehouses, cloud platforms, and business applications, providing a comprehensive view of metadata, lineage, governance, and business context without moving data.
Actian Analytics Engine is used across various industries, including financial services, healthcare, manufacturing, and telecommunications. It supports a variety of data and AI initiatives such as data cataloging, metadata management, data discovery, and AI readiness. The platform's AI-powered innovations, like the Data Steward Agent, automate metadata curation and stewardship tasks, enhancing data governance and quality.
The platform offers flexible pricing plans, including a free 14-day trial, with options to scale from starter to enterprise plans. It is designed for data leaders, governance teams, data stewards, and business users, providing purpose-built experiences for both technical and business users.
Actian Analytics Engine's Core Features
Unified data intelligence platform
Federated knowledge graph technology
Cloud-native deployment
Supports data discovery and governance
AI-powered data stewardship
Comprehensive metadata management
Regulatory compliance support
Wide range of data source connectors
Automated metadata curation
Purpose-built experiences for users
How to use Actian Analytics Engine?
Configure: Set up data sources and business logic
Use: Access data insights through the platform
Optimize: Leverage AI capabilities for enhanced analytics
Govern: Ensure compliance and data quality
Actian Analytics Engine's Use Cases
- Data Cataloging
- Metadata Management
- Data Discovery
- AI Readiness
- Regulatory Compliance
- Data Governance
- Lineage Tracking
- Data Quality Monitoring
- Self-Service Analytics
- AI-Powered Stewardship









