Actian DataConnect vs Kestra
Actian DataConnect
actian.com
Kestra
kestra.ioSide by side
| Figure | Actian DataConnect | Kestra |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 4 |
| Spec score · Integration Platform as a Service Software | 7.7 (#64) | 9.1 (#7) |
| Deployment | DataConnect documentation provides installation instructions for its Studio and Runtime Engine on Windows and Linux. | Kestra can be self-hosted with Docker or Kubernetes, and Enterprise Edition also supports cloud, on-premises and air-gapped environments. |
| Deployment model | hybrid | hybrid |
| Product | DataConnect combines hybrid integration with AI-powered data quality to assess, remediate, and monitor data as it flows through pipelines. | Kestra is a declarative orchestration platform for building, running and governing workflows across an organization. |
| Support | Actian provides online DataConnect documentation, including installation, best practices, AI usage, data quality design, and command-line topics. | Enterprise Edition includes a customer success program and enterprise support with an SLA. |
Plans
Kestra
- Open SourceFree
- Enterprise EditionPriced on request
- Kestra CloudPriced on request
- Kestra CloudPriced on request
In their own words
Actian DataConnect
Actian DataConnect has no write-up on Specifiction yet; its figures are above.
Kestra
Kestra is a declarative orchestration platform for building, running, and governing workflows across an organization. Workflows, called flows, are defined in YAML and can combine tasks, dependencies, conditions, triggers, and runtime parameters. Execution controls include retries, failure policies, timeouts, concurrency limits, worker assignment, and log capture. Kestra advertises more than 2,000 plugins for connecting to external tools, with examples including Airbyte, AWS, Azure, BigQuery, dbt, Docker, GitHub, Kafka, Kubernetes, Slack, Snowflake, and Terraform. A flow can orchestrate SQL, Python, shell, APIs, Terraform, dbt, Spark, and custom tools. The platform includes an MCP server for AI agents and supports exposing flows as callable tools. Teams can self-host with Docker or Kubernetes; Enterprise Edition also supports cloud, on-premises, and air-gapped environments. Setup instructions cover macOS, Windows, and Linux, alongside web and API platforms. Kestra Cloud advertises up to two months free during team setup. The Open Source and Enterprise Edition plans have no price listed.