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Flyte vs Kestra

Flyte logo

Flyte

8.0#2 in workload automation softwareFree plan
Free planWebAPILinuxSelf-hosted
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Kestra logo

Kestra

8.7#2 in integration platform as a service softwareFree plan
Free planWebAPILinuxmacOS
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What both publish

FactFlyteKestra
DeploymentFlyte 2 can run locally with a devbox or on a user's cluster; the site provides `pip install flyte` and `flyte start devbox` setup commands.Kestra can be self-hosted with Docker or Kubernetes, and Enterprise Edition also supports cloud, on-premises and air-gapped environments.
Documentation depthThe current documentation includes version selectors for Flyte 2 and Flyte 1 plus guides covering tasks, apps, agents, integrations and CI/CD deployment.The documentation includes installation guides, configuration references, security hardening, migration guides, release notes and an API reference.
IntegrationsThe Flyte site lists integrations including Apache Spark, Ray, PyTorch Elastic, BigQuery, Snowflake, Weights & Biases, OpenAI Agents SDK, LangGraph, CrewAI, Pydantic AI, MLflow, Dask, and Databricks.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.
MakerUnion.ai describes itself as the enterprise Flyte platform and identifies Seattle, Washington as its location in its LinkedIn company profile.The product site identifies the maker as Kestra and describes the platform as released under the Apache 2.0 license.

Flyte plans

  • Flyte OSSFree
  • Team$950 a month
  • Union.ai Team (enterprise Flyte platform)$950 a month
  • EnterprisePriced on request

Kestra plans

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

Pick Flyte if…

Flyte suits teams building AI workflows for training, serving, or agents, particularly those needing dynamic execution and recovery from infrastructure failures. It offers local devbox and cluster deployment options.

Pick Kestra if…

Kestra suits organizations building workflows that combine tasks and tools across different systems or programming languages. Its self-hosted and enterprise deployment options may appeal to teams with specific infrastructure or access-control needs.

Charts they share