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Head-to-head · CI Failure Analysis And Flaky Test Tools

Datadog Test Optimization vs Develocity Flaky Tests

  • Updated Nov 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Datadog Test Optimization #1 in CI Failure Analysis And Flaky Test Tools 9.2/10 14-day trial Free trial✓ 0 of 4 features Visit Datadog
Develocity Flaky Tests #5 in CI Failure Analysis And Flaky Test Tools 7.9/10 Pricing on request · 30-day trial Free trial✓ 2 of 4 features Visit Develocity

Datadog Test Optimization leads on 0 checks, Develocity Flaky Tests on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreDatadog Test Optimization · 9.2/10
  • Free trialboth
  • Most featuresDevelocity Flaky Tests · 2 of 4

Datadog Test Optimization scores higher on our rubric for ci failure analysis and flaky test tools: 9.2 against 7.9 out of 10; our editors rank them #1 and #5.

Datadog Test Optimization is the better fit for teams needing mature, broad flaky-test management. Develocity Flaky Tests is the better fit for build-tool teams needing cross-build flake detection.

  • Datadog Test Optimization fits best

    Teams needing mature, broad flaky-test management

  • Develocity Flaky Tests fits best

    Build-tool teams needing cross-build flake detection

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Side by side

Feature Datadog Test Optimization 9.2/10 Visit ↗ Develocity Flaky Tests 7.9/10 Visit ↗
At a glance
Editor score 9.2 7.9
Ranking #1 in CI Failure Analysis And Flaky Test Tools #5 in CI Failure Analysis And Flaky Test Tools
Best for Teams needing mature, broad flaky-test management Build-tool teams needing cross-build flake detection
Pricing model Paid Paid
Starting price $20/user/mo Pricing on request · 30-day trial
Free plan — —
Free trial 14 days 30 days
Free trial length 14 days 30 days
Deployment Cloud Cloud, Self-hosted
Platforms Web Web
Support Live chat, Email, Community, Docs Docs
Integrations 4 integrations 5 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Datadog Test Optimization 0/4 · Develocity Flaky Tests 2/4
Flaky test detection Not checked yet ✓ (best)
Failure root-cause analysis Not checked yet Not checked yet
AI fix suggestions Not checked yet Not checked yet
Test quarantine Not checked yet ✓ (best)
Specs
CI integrations Not checked yet Jenkins, GitHub Actions, GitLab, TeamCity, any CI system
Failure history Not checked yet Not checked yet
Our review
Pros
  • Detects flaky tests and performance regressions automatically
  • Offers quarantine states, automated policies, and configurable retries
  • Test Impact Analysis, tracing, and stack traces aid investigation
  • Detects flakes within a build on retry and across builds with matching inputs
  • Tracks flaky-test trends and rankings in the Tests Dashboard
  • Supports quarantine workflows and API automation across multiple build tools
Cons
  • No free plan; annual billing starts at $20 per committer monthly
  • Monthly billing is $29 per committer
  • Cloud-only deployment may not suit teams requiring self-hosting
  • Pricing requires contacting sales and is published per committer per year
  • No permanent free plan; the available offer is a 30-day trial
  • Its focus is flaky-test detection, not a general CI failure-analysis suite
Our verdict

Datadog Test Optimization instruments and traces tests in CI to show test health, performance, failures, and flakiness. It is aimed at development and platform engineering teams, particularly mid-market and enterprise organizations…

Read the review →

Develocity Flaky Tests Detection identifies non-deterministic tests for teams working with Gradle, Maven, Bazel, sbt, and supported JavaScript or Python retry mechanisms. It analyzes retries within a build and compares outcomes across…

Read the review →
  1. Datadog Test OptimizationCI Failure Analysis And Flaky Test Tools 9.214-day trial
  2. Develocity Flaky TestsCI Failure Analysis And Flaky Test Tools 7.9Pricing on request · 30-day trial

Strengths and trade-offs

  • Datadog Test Optimization — where it wins

    • Detects flaky tests and performance regressions automatically
    • Offers quarantine states, automated policies, and configurable retries
    • Test Impact Analysis, tracing, and stack traces aid investigation

    Where it doesn't

    • No free plan; annual billing starts at $20 per committer monthly
    • Monthly billing is $29 per committer
    • Cloud-only deployment may not suit teams requiring self-hosting
  • Develocity Flaky Tests — where it wins

    • Detects flakes within a build on retry and across builds with matching inputs
    • Tracks flaky-test trends and rankings in the Tests Dashboard
    • Supports quarantine workflows and API automation across multiple build tools

    Where it doesn't

    • Pricing requires contacting sales and is published per committer per year
    • No permanent free plan; the available offer is a 30-day trial
    • Its focus is flaky-test detection, not a general CI failure-analysis suite
  • Datadog Test Optimization9.2/10 · 14-day trial

    A broad CI test toolkit for finding, managing, and investigating flaky tests.

    Visit DatadogFull verdict →
  • Develocity Flaky Tests7.9/10 · Pricing on request · 30-day trial

    Cross-build fingerprints and quarantine workflows help teams manage flaky tests across CI.

    Visit DevelocityFull verdict →

Datadog Test Optimization vs Develocity Flaky Tests: questions

Which is better for CI failure analysis and flaky test tools, Datadog Test Optimization or Develocity Flaky Tests?

Datadog Test Optimization scores higher on our rubric for ci failure analysis and flaky test tools: 9.2 against 7.9 out of 10; our editors rank them #1 and #5.

How do Datadog Test Optimization and Develocity Flaky Tests compare?

All 3 checks we put side by side come out level: neither leads on any.

Do Datadog Test Optimization and Develocity Flaky Tests have a free plan?

Datadog Test Optimization: No. Develocity Flaky Tests: No.

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026

Last updated · How we research and update