Actian DataConnect
The facts below are what the maker publishes about Actian DataConnect, checked and dated. Our editors have not written about it yet.
The facts
Each one read from Actian DataConnect's own pages, with the date it was checked.
What it does
- AI model choice
- DataConnect can authenticate against any AI service, letting teams choose their own models and manage token costs by job type.checked 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.checked 12 Oct 2026
- API management
- Yeschecked 22 Sep 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.checked 11 Oct 2026
- Data transformation
- Yeschecked 22 Sep 2026
- Demo
- Actian offers a 30-minute DataConnect demo covering profiling, remediation, monitoring, hybrid connectivity, and AI model choice.checked 11 Oct 2026
- Deployment
- DataConnect documentation provides installation instructions for its Studio and Runtime Engine on Windows and Linux.checked 11 Oct 2026
- Deployment model
- hybridchecked 22 Sep 2026
- Hybrid connectivity
- The platform supports cloud, on-premises, SaaS, modern data warehouses, and legacy systems through 200+ pre-built connectors.checked 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.checked 12 Oct 2026
- Legacy systems
- The 200+ connectors include support for mainframe and AS/400 environments.checked 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.checked 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.checked 12 Oct 2026
- Lineage
- End-to-end lineage shows where data originates, how it moves through pipelines, and where quality issues first appear.checked 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.checked 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.checked 12 Oct 2026
- On-premises connectors
- Yeschecked 22 Sep 2026
- Processing
- DataConnect includes Apache Spark processing, visual pipelines, and enterprise orchestration.checked 12 Oct 2026
- Product
- DataConnect combines hybrid integration with AI-powered data quality to assess, remediate, and monitor data as it flows through pipelines.checked 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.checked 11 Oct 2026
- Real-time sync
- Yeschecked 22 Sep 2026
The company
- Company history
- Actian’s company timeline says Relational Technology, Inc. was founded in 1980 to commercialize Ingres.checked 11 Oct 2026
- Headquarters
- Santa Clara, California, United Stateschecked 28 Sep 2026
Where it runs
- Deployment platforms
- Actian documentation provides installation instructions for DataConnect Studio on Windows and the Runtime Engine on Windows and Linux.checked 12 Oct 2026
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