Data Hub

Your Launchpad for Engineering Intelligence

Connect every signal across your engineering systems to surface deeper insights faster. Data Hub gives you powerful ways to combine AI impact, DORA metrics and more with flexible customization options.

Jellyfish Data Hub
Product leaders

Get Alignment on What Matters

Flexible, transparent logic that lets you standardize metrics across the org while allowing for team-level nuance.

Custom Metrics & Dashboards

Tailor metric calculations and visualizations to match your needs with more transparency and flexibility.

From Visibility to Action

Easily connect disparate data sources and leverage AI-powered assistance to quickly move from insights to actions.

Jellyfish brings everything into one place. Having Jira tickets, PR data, and AI usage presented in a single pane of glass provides real-time team insights that were previously hard to track. It’s an essential tool for any engineering org looking for seamless work tracking and clear delivery metrics.”

Pooja Erappa

Software Engineer II at Diligent Corporation

Drive Outcomes Without Data Stitching

Extensible Dashboards

Curate bespoke views that translate raw engineering signals into the language of the stakeholders across your org.

Explore and Combine Metrics

Slice and dice your data by any dimension and uncover trends about team velocity and code quality in seconds, not sprints.

Uncover Key AI Trends

Visualize how AI is impacting your team and the SDLC. Answer complex questions about AI throughput and quality quickly.

AI-Assisted Custom Queries

Use natural language to answer the deepest questions about your engineering data for instant answers to bespoke data needs.

Resources

Learn and Lead

Guides, frameworks, and research to help improve performance and build high-functioning engineering orgs.

ebook

2025 DORA Insights Report

Key takeaways from the 2025 DORA report and what high performers are doing differently.
whitepaper

Top 10 Engineering KPIs

The top metrics every engineering leader should track to improve delivery and outcomes.
research

2025 State of Engineering Management

Insights from 450+ engineering leaders on AI adoption, delivery challenges, and organizational priorities.