Jellyfish vs. DX

Trusted by 650+ engineering organizations, Jellyfish gives engineering and platform leaders the complete picture: AI-powered quantitative and qualitative insights, a deeper understanding of AI’s real productivity impact from system data, and the R&D planning and delivery capabilities DX can’t match.

See how we compare

Engineering Management

DORA & productivity metrics

Recommendations, team goals, Slack alerts

Custom analysis and APIs

Team-level comparison

Industry benchmarking

Resource and investment allocation

R&D capacity planning

Delivery forecasting & scenario planning

Deliverables status tracking and reporting

AI Impact

AI impact measured by surveys

Adoption insights based on system data

Usage data linked to delivery metrics

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

Multi-tool comparison

AI-generated Exec Reports showing ROI

Code review agent insights

Developer Experience

Qualitative developer experience surveys

DevEx metrics

Financial Reporting

Cost capitalization reporting

SOC‑1 Type II financial compliance

100% audit pass rate

Administration

Fully self‑service configuration

SSO

Embedded services

Low cost of maintenance

SCIM

“DX and LinearB don’t treat team-based metrics or person-based metrics as first-class citizens like Jellyfish does.”

Jane Hatfield

Director of Engineering at Jane.app

“DX seems to have a company stance where they don’t want to report on individual productivity. Jellyfish is insanely valuable to understand where we’re investing”

Max Doherty

Director, Product Management at Attentive

“We really weren’t aiming at DX’s developer experience portion of things to start with. Jellyfish feels more driven by outcomes.”

Xaviar Steavenson

VP of engineering at WebPros

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.

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Myth vs. Reality

Myth: I need a clean Jira instance before using Jellyfish.

Myth: Jellyfish is only for executives.

Myth: Jellyfish is too rigid and can't handle custom metrics.

Reality: Jellyfish gives you pre-configured, out-of-the-box metrics so you can get started fast, plus Query Builder for creating custom queries using natural language or structured inputs. No SQL required. Save any query as a Smart Metric that your teams can reuse across Metrics Explorer and other areas of the platform.

Structure where you need it, flexibility where you want it.

Myth: You have to dig through multiple dashboards to find insights.

See the Product in Action

Discover how top engineering teams use Jellyfish to measure AI impact and drive real business results.

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