Engineering metrics comparison

Koalr vs Jellyfish

Jellyfish is built for executive reporting at enterprise scale. Koalr adds what Jellyfish cannot offer: pre-merge deploy risk prediction, test coverage integration, Linear support, and a true AI chat interface — at half the price, with no enterprise sales process.

Jellyfish starts at $50+/user/month and requires an enterprise sales conversation.

Koalr starts at $39/contributor/month with self-serve signup — no sales call required.

Jellyfish pricing model

Jellyfish does not publish pricing publicly. Based on reported customer data and sales conversations, Jellyfish starts at $50+ per user per month and is sold exclusively through an enterprise sales process — no self-serve signup, no free trial, and no public pricing page. Contracts are typically annual with a minimum commitment of 50+ seats.

Jellyfish's pricing model is designed for large engineering organizations ($500M+ revenue, 200+ engineers) evaluating R&D investment allocation and executive reporting. For mid-market teams (50–200 engineers) focused on deploy safety and DORA metrics, the price-to-value ratio is poor — you pay for executive features you don't need and don't get deploy risk prediction at any tier.

Jellyfish

  • •$50+/user/month (not publicly disclosed)
  • •Enterprise sales process required
  • •Annual contract, 50+ seat minimum
  • •No free trial
  • •No deploy risk prediction at any tier

Koalr

  • ✓Free tier (up to 5 contributors)
  • ✓Growth: $39/contributor/month
  • ✓Business: $55/contributor/month (AI chat)
  • ✓Self-serve signup — no sales call
  • ✓Deploy risk prediction on all paid tiers

Where Koalr wins

Four capabilities Jellyfish does not offer at any price point.

Deploy Risk Prediction

Koalr scores every PR 0–100 across 36 signals before you merge. Jellyfish tracks metrics after deploys happen — it has no predictive risk model to prevent incidents before they occur.

Test Coverage Integration

Koalr integrates with Codecov and SonarCloud, using coverage delta as a deploy risk signal. Jellyfish has no test coverage integration — there is no way to know if a deploy is risky because tests are missing.

Linear Integration

Koalr supports Linear natively alongside Jira. Jellyfish is Jira-only — a growing problem as more engineering teams move to Linear as their project tracker.

AI Chat with Live Data

Ask Koalr questions about your PRs, deployments, incidents, and team metrics in natural language. Jellyfish has no LLM chat interface — only pre-built executive dashboards.

Full feature comparison

Feature
Koalr
Jellyfish
Core Metrics
DORA metrics dashboard
✓
✓
Deployment frequency tracking
✓
✓
Lead time for changes
✓
✓
Change failure rate
✓
✓
Mean time to restore (MTTR)
✓
✓
Executive reporting & org charts
⚠Executive dashboards
✓Jellyfish strength
Investment allocation tracking
✓
✓Jellyfish strength
Time tracking & capacity planning
⚠
✓Jellyfish strength
Risk & Safety
Deployment risk prediction
✓36-signal pre-merge risk score, 0–100
✗Not available
Test coverage integration
✓Codecov + SonarCloud as risk signals
✗Not available
CODEOWNERS sync & enforcement
✓Auto-sync + GitHub Check Run blocking
✗Not available
DDL migration detection
✓
✗
AI authorship detection (Copilot, Cursor)
✓
✗
Plain-English risk explanations
✓AI explains exactly why a PR is high-risk in plain English
✗Not available
Remediation suggestions
✓Specific code-level fixes: add tests, split PR, add reviewer
✗Not available
Auto-fix generation
✓One-click GitHub PR with suggested test additions
✗Not available
Prediction accuracy tracking & learning loop
✓Tracks accuracy over time, self-calibrates from deployment outcomes
✗Not available
AI & Intelligence
AI chat with live metrics data
✓Full LLM chat on your live eng data
✗Not available
AI-generated insights & summaries
✓
⚠Basic AI nudges
AI tool adoption tracking
✓Copilot, Cursor, Claude Code usage
✗
PR & Code Review
PR cycle time tracking
✓
✓
Code review analytics
✓
✓
Review bottleneck analysis
✓
✓
PR size & risk correlation
✓
✗
Flow & Contribution
Work log / contribution heatmap
✓
✓
Custom metrics builder
✓
⚠Some custom reports
Delivery forecasting
✓
✓
Team Health
Team well-being tracker
✓
⚠
Daily standup digest
✓
✗
Burnout risk signals
✓
⚠
Integrations
Linear integration
✓
✗Not supported
Jira integration
✓
✓
GitHub integration
✓
✓
PagerDuty integration
✓
✓
OpsGenie integration
✓
✗Not available
Slack notifications
✓
✓
Feature flags visibility
✓LaunchDarkly integration
✗
Access & Reports
Custom reports
✓
✓
API access
✓
✓
Self-serve signup
✓
✗Enterprise sales required
Free tier available
✗14-day free trial
✗
Starting price
⚠$39/contributor/month
⚠$50+/user/month (enterprise)

✓ = available    ✗ = not available    ⚠ = partial / limited

Where Jellyfish shines

Honest assessment — Jellyfish does some things well, especially at enterprise scale.

Executive-level reporting

Jellyfish's executive dashboards and engineering org charts are best-in-class for CTO and VP-level reporting. It is purpose-built for leadership visibility at scale.

Investment allocation tracking

Jellyfish's investment reporting — showing how engineering effort maps to business initiatives — is a mature, well-regarded feature for enterprise finance alignment.

PagerDuty integration

Jellyfish has solid PagerDuty integration for incident correlation. Koalr also integrates with PagerDuty natively, plus adds OpsGenie support that Jellyfish lacks.

Pricing comparison

Koalr

$39/contributor/month

Self-serve — no sales call required

  • ✓Deploy risk prediction (36 signals)
  • ✓AI chat with live engineering data
  • ✓Linear + Jira + GitHub
  • ✓PagerDuty + OpsGenie integration
  • ✓Test coverage integration
  • ✓14-day free trial, no credit card required

Jellyfish

$50+/user/month

Enterprise only — sales call required

  • ✓DORA metrics & executive reporting
  • ✓Investment allocation & org charts
  • ✓PagerDuty integration
  • ✗No Linear integration
  • ✗No deploy risk prediction
  • ✗No AI chat

Frequently asked questions

How much does Jellyfish cost?

Jellyfish does not publish pricing publicly. Based on available information, Jellyfish starts at $50+ per user per month and requires an enterprise sales conversation. There is no self-serve signup or free trial.

Is there a cheaper alternative to Jellyfish for engineering metrics?

Yes. Koalr starts at $39/contributor/month with a free tier for up to 5 contributors. Unlike Jellyfish, Koalr includes deploy risk prediction, AI chat, and Linear integration — capabilities Jellyfish does not offer at any price point.

Does Jellyfish offer a free trial?

No. Jellyfish is enterprise-only and requires a sales conversation before you can evaluate the product. Koalr offers a 14-day free trial with no credit card required and a self-serve free tier.

What does Jellyfish do that Koalr does not?

Jellyfish has stronger executive reporting and R&D investment allocation features — particularly the "investment categories" model that maps engineering spend to business initiatives. If your primary use case is reporting engineering ROI to the C-suite at a 500+ person organization, Jellyfish is purpose-built for that. Koalr focuses on deploy safety, DORA metrics, and AI-native insights for the engineering team itself.

How does Jellyfish pricing compare to Koalr for a 50-person team?

At 50 engineers, Jellyfish would cost approximately $2,500–$3,500/month (estimated $50–70/user) with an annual contract. Koalr Growth at the same team size is $1,950/month ($39/contributor) with no annual commitment required.

Half the price. Twice the capability.

Koalr gives you everything Jellyfish offers plus deploy risk prediction, test coverage, Linear, OpsGenie, and AI chat — for $39/contributor/month with self-serve signup.

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