Head-to-head · Software Development Analytics Tools
Apache DevLake vs Jellyfish
Apache DevLake leads on 0 checks, Jellyfish on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreApache DevLake · 9.1/10
Apache DevLake scores higher on our rubric for software development analytics tools: 9.1 against 8.8 out of 10; our editors rank them #1 and #2.
Apache DevLake is the better fit for teams wanting open-source delivery analytics. Jellyfish is the better fit for organizations tracking engineering investment and AI impact.
- Apache DevLake fits best
Teams wanting open-source delivery analytics
- Jellyfish fits best
Organizations tracking engineering investment and AI impact
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Side by side
| Feature | Apache DevLake 9.1/10 Visit ↗ | Jellyfish 8.8/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 8.8 |
| Ranking | #1 in Software Development Analytics Tools | #2 in Software Development Analytics Tools |
| Best for | Teams wanting open-source delivery analytics | Organizations tracking engineering investment and AI impact |
| Pricing model | Free | Paid |
| Starting price | Open source | — |
| Free plan | Not checked yet | — |
| Free trial | — | — |
| Deployment | Self-hosted | Cloud |
| Platforms | Web | Web |
| Support | Community, Docs | Docs |
| Integrations | 16 integrations | 10 integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Apache DevLake 1/3 · Jellyfish 1/3 | ||
| DORA metrics | ✓ | ✓ |
| Developer experience surveys | Not checked yet | Not checked yet |
| Team-level reporting | Not checked yet | Not checked yet |
| Specs | ||
| Data source connectors | Not checked yet | Not checked yet |
| Delivery metrics | Not checked yet | Not checked yet |
| Deployment option | Not checked yet | Not checked yet |
| Our review | ||
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| Our verdict | Apache DevLake brings software delivery data into one analytics platform for engineering leads, product managers, data engineers, open-source maintainers, and development teams. It ingests information from DevOps and software delivery… Read the review → |
Engineering leaders, managers, platform and product teams, and finance groups can use Jellyfish to connect data from development and delivery systems with business outcomes. The cloud platform covers DORA metrics, workflow analytics,… Read the review → |
Strengths and trade-offs
Apache DevLake — where it wins
- Prebuilt dashboards cover DORA, throughput, and reliability metrics
- Connects to a broad range of DevOps and delivery tools
- SQL customization and plugins support custom metrics and data sources
Where it doesn't
- Self-hosted deployment means teams provide the hosting
- Visualization is through Grafana dashboards
- Connections, transformations, scopes, and sync schedules require configuration
Jellyfish — where it wins
- Tracks DORA, delivery, and reliability metrics across engineering workflows
- Analyzes AI-tool adoption, usage, and productivity across multiple tools
- Links engineering investment allocation with developer experience and delivery
Where it doesn't
- Quote-based pricing varies by seats and selected modules
- Cloud-only deployment may not suit teams requiring another hosting model
- Wide-ranging analytics may exceed the needs of teams seeking a single metric tool
- Apache DevLake9.1/10 · Open source
A self-hosted analytics platform for DORA, delivery, throughput, and reliability metrics.
Visit Apache DevLakeFull verdict → - Jellyfish8.8/10 · Pricing on request
Connect engineering delivery, investment, developer experience, and AI-tool impact in one cloud platform.
Visit JellyfishFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







