Azkaban vs Kestra
Azkaban
azkaban.github.io
Kestra
kestra.ioSide by side
| Figure | Azkaban | Kestra |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | 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 | 0 | 4 |
| Spec score · Workflow Orchestration Software | 7.7 (#26) | 8.6 (#10) |
| Spec score · Workload Automation Software | 7.6 (#17) | 8.6 (#6) |
| Deployment | The documentation provides instructions for setting up Solo Server and Multi Executor Server deployments. | Kestra can be self-hosted with Docker or Kubernetes, and Enterprise Edition also supports cloud, on-premises and air-gapped environments. |
| Integrations | Documented job-type plugin examples include Hadoop ecosystem components, Pig, Hive, and VoldemortBuildAndPush. | The plugin catalog covers databases, warehouses, queues, cloud services, CI/CD and security tools, with more than 2,200 plugins advertised on the features page. |
| Scheduling | Users can schedule workflows, and flows can also be launched through the Ajax API. | Scheduling supports intervals, cron expressions, condition-based schedules, event triggers, HTTP triggers, webhooks and backfills. |
| Security | The official site lists authentication and authorization, user action tracking, and SLA alerting with automatic job killing. | Kestra Cloud advertises SOC 2 Type 1 and Type 2 and GDPR status through its linked Trust Center. |
| Support | The project directs users to its Google Group for help and lists Gitter and mailing lists as community channels. | 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
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.