CData Arc vs Kestra
CData Arc
arc.cdata.com
Kestra
kestra.ioSide by side
| Figure | CData Arc | Kestra |
|---|---|---|
| Price from | $2,916.67/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 4 |
| Spec score · Integration Platform as a Service Software | 9.2 (#4) | 9.1 (#7) |
| Deployment | Arc can run as SaaS, on premises or in a private cloud, including AWS and Azure deployments. | 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 |
| Free plan | No | Yes |
| Limit: learning curve | Reviewers say ArcScript becomes difficult for complex or non-standard workflow logic. | G2 reviewers report that YAML, Pebble expressions, task-output references and advanced templating take time to learn. |
| Rating on G2 | 4.5 out of 5 from 56 reviews. | 4.6 out of 5 from 24 reviews |
| Rating on GetApp | 4.8 out of 5 from 27 reviews. | 0 out of 5 from 0 reviews |
| System requirements | The current documentation requires Windows 10 or Server 2016 with .NET 4.6.2+, or Java 17+ for the cross-platform edition, with 1 GB RAM recommended. | The installation documentation specifies at least 2 vCPUs and 4 GiB of memory for correct operation. |
| What it does | CData Arc is a visual workflow platform for managed file transfer and EDI integrations. | Kestra is an open-source orchestration platform for scheduled and event-driven data, AI, infrastructure and business workflows. |
Plans
CData Arc
- Arc MFT Unlimited$35,000 a year
- EnterprisePriced on request
- ProfessionalPriced on request
- StandardPriced on request
Kestra
- Open SourceFree
- Enterprise EditionPriced on request
- Kestra CloudPriced on request
- Kestra CloudPriced on request
In their own words
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.