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DevPrism vs Jellyfish vs Swarmia — Engineering Intelligence Comparison 2026

By DevPrism Team

comparison engineering-intelligence swarmia jellyfish

The Engineering Intelligence market has exploded. Between legacy platforms (Jellyfish, Pluralsight Flow) and the new generation (Swarmia, DevPrism, DX), how do you choose?

This comparison is based on public information, official documentation, and our deep domain knowledge.

Positioning in One Sentence

Platform Positioning
Jellyfish “Engineering Management Platform” — business alignment, investment allocation
Swarmia “Engineering Effectiveness” — developer-focused, DORA + SPACE metrics
DevPrism “Agentic Engineering Intelligence Platform” — AI correlation, autonomous agents, automated actions

Feature Comparison Grid

Criterion Jellyfish Swarmia DevPrism
DORA Metrics
SPACE Framework
AI Impact (AI×Delivery correlation)
Native AI Agents ✅ (6 agents)
Autonomous Workflows ✅ (6 MAF)
Policy Engine (write-back)
PR Intelligence Basic ✅ (risk scoring)
DX Surveys
MCP Server
Git Integrations GitHub, GitLab GitHub, GitLab GitHub, Azure DevOps, GitLab
Jira / Linear
SonarQube / Codacy
Multi-tenant (B2B SaaS) ✅ (PostgreSQL RLS)
Self-hosted Roadmap
Languages EN EN EN + FR (ES, DE roadmap)

Pricing — The Point of Divergence

Jellyfish Swarmia DevPrism
Model Per developer (enterprise only) €22-42/dev/month Per managed entity
Free plan ❌ (14-day trial) ✅ 10 entities
Public price Quote-based (estimated >€50/dev) €22 (Team), €42 (Business) €25/dev + €10/AI seat + €20/agent
AI billing N/A N/A ✅ Captures AI value
Minimum ~50 devs 10 devs 1 entity

Why the “Per Managed Entity” Model Is a Game-Changer

In a world where AI agents (Devin, Codex) produce commits and PRs, a “per human developer” model undervalues the governance needed.

DevPrism charges per managed entity: humans (€25), AI assistant seats (€10), autonomous agents (€20). Revenue follows value, not human headcount.

2026 scenario: 10 devs + Copilot (10 seats) = €350/month DevPrism vs €420/month Swarmia Business.

AI-heavy 2028 scenario: 5 devs + 2 AI tools (10 seats) + 3 agents = €285/month DevPrism. Swarmia can’t even monitor agents.

Technical Architecture

Jellyfish

  • Ruby/Python backend
  • Focus on data warehouse + BI
  • No AI agents
  • Limited actions (notifications)

Swarmia

  • Modern SaaS
  • Working Agreements (lightweight policies)
  • No write-back to repos
  • No autonomous agents

DevPrism

  • .NET 9 + PostgreSQL + pgvector
  • 3-layer architecture (Macro/Micro/Control)
  • 6 AI agents coordinated by Microsoft Agent Framework (MAF)
  • Policy Engine with 3 levels of autonomy
  • Multi-provider write-back (GitHub, ADO, GitLab)
  • Native MCP Server for interoperability

Who Should Choose What?

Context Recommendation Reason
Enterprise >200 devs, business alignment focus Jellyfish C-suite view, investment allocation
SMB 10-50 devs, developer-centric Swarmia Excellent UX, simple Working Agreements
AI-augmented team, AI governance needs DevPrism Only one with AI Impact + Policy Engine
Multi-provider (GitHub + ADO + GitLab) DevPrism Cross-provider identity resolution
Need for automated actions (not just dashboards) DevPrism Control Plane + MAF agents
Very tight budget, team < 10 DevPrism (free Starter) 10 entities included

The Differentiating Factor: AI Agents

This is the fundamental breaking point. Jellyfish and Swarmia are observation platforms — they display metrics. DevPrism is an action platform — it observes, understands the why, and acts.

Concrete examples:

  • A PR stalls for 48h → the PR Orchestration agent notifies the reviewer, then reassigns if no response in 24h
  • Lead Time increases by 30% → the Investigation agent identifies the root cause (review overload on 2 seniors)
  • A new developer joins → the Onboarding Assessment workflow generates a skill ramp-up report after 30 days

No competitor offers this level of autonomy.


See the difference for yourself. Try DevPrism for free — 10 managed entities, AI agents included, no credit card.