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Composer by Orchestral vs Kestra

Composer by Orchestral

orchestral.ai

Kestra

kestra.io

Side by side

FigureComposer by OrchestralKestra
Price from—Free
Free plan—Yes
Free trialYesYes
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
LinuxYesYes
APIYesYes
Self-hosted—Yes
Plans published24
Spec score · IT Orchestration Software7.6 (#16)8.5 (#7)
DeploymentThe FAQ describes a typical high-availability setup using two Linux virtual machines running Ubuntu 18 or CentOS 8.Kestra can be self-hosted with Docker or Kubernetes, and Enterprise Edition also supports cloud, on-premises and air-gapped environments.
IntegrationsOrchestral states that more than 450 integrations are available, with pricing and SKU details available from its Client Development Team.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.
SecurityComposer includes LDAP and role-based access control (RBAC).Kestra Cloud advertises SOC 2 Type 1 and Type 2 and GDPR status through its linked Trust Center.

Plans

Composer by Orchestral

  • Enterprise Level SupportPriced on request
  • PremierPriced on request

Composer by Orchestral pricing →

Kestra

  • Open SourceFree
  • Enterprise EditionPriced on request
  • Kestra CloudPriced on request
  • Kestra CloudPriced on request

Kestra pricing →

In their own words

Composer by Orchestral

Composer by Orchestral has no write-up on Specifiction yet; its figures are above.

Visit orchestral.ai

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.

Visit kestra.io