
Flyte
8.0#2 in workload automation softwareFree planFree planWebAPILinuxSelf-hosted
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| Fact | Flyte | Kestra |
|---|---|---|
| Deployment | Flyte 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 depth | The 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. |
| Integrations | The 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. |
| Maker | Union.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 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.
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.