Jellyfish review
A broad engineering intelligence platform for investment and AI-impact analysis.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Jellyfish is a cloud-based software engineering intelligence platform for engineering leaders, managers, platform teams, product leaders, and finance teams. It connects data from development and delivery systems to give organizations visibility into DORA metrics, workflow performance, developer experience, AI-tool impact, engineering investment, and software delivery outcomes. Its scope suits organizations that need to connect engineering activity with resource allocation and business analysis rather than teams seeking a narrow delivery dashboard.
The platform’s strongest fit is its breadth of measurement. Jellyfish tracks deployment frequency, lead time, change failure rate, and mean time to resolution, while also supporting delivery analytics, reliability metrics, custom calculations, dashboards, benchmarking, and developer-experience surveys. Its AI Impact plan covers adoption and usage trends, AI developer-experience analysis, multi-tool evaluation, token spend metrics, and AI productivity insights. The Developer Productivity plan adds AI-driven recommendations, investment allocation insights, DORA, SPACE, and AI metrics, industry benchmarking, and AI-powered queries. Integrations include Jira, GitHub, Linear, Azure DevOps, GitHub Copilot, Cursor, Claude Code, Codex, Amazon Q Developer, and Gemini Code Assist.
Pricing is contact-sales and varies by seats and selected modules. The published plans are AI Impact, Developer Productivity, and DevFinOps. DevFinOps focuses on R&D tax credits, software capitalization, investment allocations, SOC 1 Type II compliance, and audit-ready reports. That modular structure can suit organizations evaluating engineering costs, delivery performance, and AI adoption together, but it also makes Jellyfish a less natural choice for buyers seeking a simple, narrowly focused metrics tool or a free starting point. Choose it when cross-functional engineering intelligence and investment analysis are priorities; look elsewhere if minimal scope or self-serve access matters most.
Jellyfish pros and cons
- Where it wins
- Tracks DORA, delivery, reliability, and custom engineering metrics
- Analyzes AI-tool adoption, usage, token spend, and productivity impact
- Connects engineering data with investment allocation and business analysis
- Where it doesn't
- No free plan is available
- Pricing is quote-based and varies by seats and selected modules
- The platform is web-based rather than offered as a desktop application
Jellyfish fact sheet, pricing and score →
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update