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Actian DataConnect
What Actian DataConnect is
Actian DataConnect is a paid hybrid data integration product that connects systems while assessing, remediating, and monitoring pipeline data. It links cloud, on-premises, SaaS, warehouse, and legacy environments through more than 200 pre-built connectors, including mainframe and AS/400 support. Apache Spark processing, visual pipelines, enterprise orchestration, transformation, real-time synchronization, and API management support data movement. AI-assisted assessment profiles information against more than 1,200 semantic type definitions, identifies anomalies, classifies fields, and recommends quality rules. Teams can review generated rules before approving remediation. The Data Quality Index, schema-drift detection, pipeline observability, and end-to-end lineage show quality and where issues arise. DataConnect can authenticate against any AI service, allowing model choice and token-cost management by job type. Studio installation is documented for Windows, while Runtime Engine installation is documented for Windows and Linux. Licensing controls enabled features, engine counts, and users. Pricing is on request.
Who it suits
It suits enterprise teams preparing data for AI and analytics across hybrid environments. It is also aimed at organisations seeking automated quality assessment, lineage, and less manual remediation.
What it does well
- More than 200 connectors for hybrid environments
- AI assessment uses 1,200+ semantic definitions
- Supports lineage and schema-drift detection
- Teams can choose their AI service
- Includes visual pipelines and orchestration
What to know first
- Pricing is available only on request
- Licensing controls features, engines, and users
- Studio installation is documented for Windows
- Runtime Engine installation is documented for Windows and Linux
Verdict
Actian DataConnect combines integration, orchestration, AI-assisted quality work, and pipeline visibility. Its licensing model and deployment documentation should be reviewed against each organisation’s environment and capacity needs.
Facts from Actian DataConnect's own pages
- AI model choice
- DataConnect can authenticate against any AI service, letting teams choose their own models and manage token costs by job type. · actian.com, 11 Oct 2026
- AI quality assessment
- AI-assisted assessment uses 1,200+ semantic type definitions to profile data, identify anomalies, classify fields, and generate quality rules. · actian.com, 12 Oct 2026
- API management
- Yes · actian.com, 22 Sept 2026
- Company history
- Actian’s company timeline says Relational Technology, Inc. was founded in 1980 to commercialize Ingres. · actian.com, 11 Oct 2026
- Data quality assessment
- AI-assisted assessment profiles data against more than 1,200 semantic type definitions to identify anomalies, classify fields, and recommend quality rules. · actian.com, 11 Oct 2026
- Data transformation
- Yes · actian.com, 22 Sept 2026
- Demo
- Actian offers a 30-minute DataConnect demo covering profiling, remediation, monitoring, hybrid connectivity, and AI model choice. · actian.com, 11 Oct 2026
- Deployment
- DataConnect documentation provides installation instructions for its Studio and Runtime Engine on Windows and Linux. · docs.actian.com, 11 Oct 2026
- Deployment model
- hybrid · actian.com, 22 Sept 2026
- Deployment platforms
- Actian documentation provides installation instructions for DataConnect Studio on Windows and the Runtime Engine on Windows and Linux. · docs.actian.com, 12 Oct 2026
- Headquarters
- Santa Clara, California, United States · actian.com, 28 Sept 2026
- Hybrid connectivity
- The platform supports cloud, on-premises, SaaS, modern data warehouses, and legacy systems through 200+ pre-built connectors. · actian.com, 12 Oct 2026
- Intended users
- Actian presents DataConnect for enterprise teams preparing data for AI and analytics, connecting hybrid environments, and reducing manual data quality work. · actian.com, 12 Oct 2026
- Legacy systems
- The 200+ connectors include support for mainframe and AS/400 environments. · actian.com, 12 Oct 2026
- License limits
- Enabled features and values depend on the license; documented license features include a maximum concurrent engine count and maximum users. · docs.actian.com, 11 Oct 2026
- Licensing limit
- DataConnect licensing distinguishes production engine, development-user, and non-production engine licenses; production engine licenses specify a maximum number of concurrent instances. · docs.actian.com, 12 Oct 2026
- Lineage
- End-to-end lineage shows where data originates, how it moves through pipelines, and where quality issues first appear. · actian.com, 12 Oct 2026
- LLM choice
- DataConnect can authenticate against any AI service, allowing teams to choose their models and trace how AI recommendations are generated. · actian.com, 12 Oct 2026
- Monitoring
- The Data Quality Index tracks dataset fitness over time, while schema drift detection, threshold alerts, and pipeline observability surface emerging issues. · actian.com, 12 Oct 2026
- On-premises connectors
- Yes · actian.com, 22 Sept 2026
- Processing
- DataConnect includes Apache Spark processing, visual pipelines, and enterprise orchestration. · actian.com, 12 Oct 2026
- Product
- DataConnect combines hybrid integration with AI-powered data quality to assess, remediate, and monitor data as it flows through pipelines. · actian.com, 12 Oct 2026
- Purpose
- DataConnect combines hybrid integration, AI-powered data quality, and pipeline observability to assess, remediate, and monitor data as it flows through pipelines. · actian.com, 11 Oct 2026
- Real-time sync
- Yes · actian.com, 22 Sept 2026