Skip to content
Jellyfish v DX

Jellyfish vs. DX

Trusted by 500+ engineering organizations, Jellyfish gives engineering and platform leaders the complete picture – combining quantitative and qualitative insights, measuring AI’s real productivity gains from system data, and providing the planning and delivery tools DX can’t.

Jellyfish G2 badge

4.5/5 based on 258 reviews on G2

Why engineering & platform leaders choose Jellyfish

AI impact you can quantify

DX relies heavily on surveys and layered assumptions to measure AI impact. Jellyfish uses system data to help you drive AI adoption, quantify actual delivery impact, and provide deeper comparative and spend insights to guide smarter investments.

Confidence in delivery

Plan by deliverable, forecast capacity, and act early on risks. Scenario planning reveals trade-offs instantly, keeping product, finance, and executives aligned.

Clear, consistent visibility

DX often requires manual tagging to categorize work, creating extra effort and inconsistency. Jellyfish aligns to your workflows and uses AI to automatically classify work by initiative, investment type, and capitalizable effort—making comparisons and benchmarking straightforward.

See how we compare

See how we compare

Engineering Management

DORA & productivity metrics

Yes
Yes

Recommendations, team goals, Slack alerts

Yes
Yes

Custom analysis and APIs

Yes
Yes

Team comparison

No
Yes

Industry benchmarking

Yes
Yes

Resource and investment allocation

No
Yes

R&D capacity planning

No
Yes

Delivery forecasting & scenario planning

No
Yes

Deliverables status tracking and reporting

No
Yes
AI Impact

AI impact measured by surveys

Yes
Yes

Adoption insights based on system data

No
Yes

Integrations with major tools (Cursor, Copilot, etc.)

No
Yes

Multi-tool comparison

No
Yes

Code review agent insights

No
Yes

AI spend-to-value dashboards

No
Yes
Developer Experience

Qualitative developer experience surveys

Yes
Yes

DevEx metrics

Yes
Yes
Financial Reporting

Cost capitalization reporting

Yes
Yes

SOC‑1 Type II financial compliance

No
Yes

100% audit pass rate

No
Yes
Administration

Fully self‑service configuration

Yes
Yes

SSO

Yes
Yes

Embedded services

No
Yes

Low cost of maintenance

No
Yes

SCIM

Yes
Yes

Where DX creates risk, Jellyfish resolves it

Time to value and maintenance

DX’s SQL-based customization extends rollout, increases upkeep, and makes it harder to standardize metrics across teams. Jellyfish maps to your workflows and delivers actionable insights quickly while still supporting customization.

Limited view of engineering outcomes

Surveys provide valuable sentiment context, but DX leans heavily on them for productivity measurement — leaving gaps in understanding real results. Jellyfish blends surveys with rich system data for a complete, reliable view of engineering performance and impact.

Gaps in planning and governance

DX lacks delivery forecasting, capacity planning, and SOC 1 Type II certification. Jellyfish provides these capabilities so leaders can plan accurately, track progress, and meet compliance requirements.

Data-driven engineering teams love Jellyfish

4.5/5 based on 258 reviews on G2