26,000+
GitHub stars
Java-based orchestration engine
Report
Use declarative language to build simpler, faster, scalable and flexible workflows
Depends
DependsBuy if your engineering team needs unified scheduled and event-driven orchestration for data or AI pipelines and can self-host and patch fast.
Powerful open-source orchestrator for engineers; recent tenant-isolation CVEs and self-host burden make it overkill for simple automation.
26,000+
GitHub stars
Java-based orchestration engine
$36M
Total funding
Last funded March 2026
24
G2 reviews
Thin independent review base
Yes
Free tier
Open source, self-hosted
Free self-host tier; claims 90% lower legacy tooling cost.
Declarative YAML plus no-code UI for analysts.
Scheduled, event-driven, durable execution, multi-tenancy, AI orchestration.
SLA-backed enterprise support offered; quality unverified.
11 CVEs in 90 days, tenant isolation flaws.
Free
Not disclosed
Not disclosed
Multiple recent CVEs including tenant isolation flaws; upgrade to 1.3.24+ before production use.
Independent reviews are thin — 24 G2 reviews — but Reddit and GitHub community sentiment is positive.
“the existing orchestration tools are either too technical”
Compare Kestra, Open Source Declarative Orchestration Platform with each alternative.
Guess: incumbent data pipeline scheduler; heavier ops, huge ecosystem.
Kestra, Open Source Declarative Orchestration Platform vs Apache AirflowGuess: Pythonic orchestration, lighter setup for data teams.
Kestra, Open Source Declarative Orchestration Platform vs PrefectGuess: visual automation; better fit for non-engineers.
Guess: durable execution for code-first developer teams.
Kestra, Open Source Declarative Orchestration Platform vs TemporalBased on ~20 public sources; official claims dominate and independent user reviews are thin.
Anonymous. You can change your vote.
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