Buyer’s guide 2026
Engineering intelligence platforms compared.
Engineering intelligence platforms (also called software engineering intelligence or SEI platforms, and developer productivity insight platforms) connect to Git, ticketing and CI/CD data to measure delivery, developer experience and, increasingly, the impact of AI coding tools. The main vendors are Jellyfish, LinearB, DX, Swarmia, Code Climate Velocity, Harness SEI, Faros AI and Waydev. They differ most on three points: whether they measure AI coding tools beyond seat counts, whether they can run self-hosted, and whether they lead with surveys, workflow automation or financial reporting.
Who runs whereDeployment
Self-hosted or air-gapped option
- Waydevcloud · VPC · air-gapped
- Jellyfishcloud
- LinearBcloud
- DX (Atlassian)cloud
- Swarmiacloud
- Harness SEIcloud + satellite
Comparison
Summary table
| Platform | What it is | Strongest at | AI coding tool measurement | Deployment | Best fit |
|---|---|---|---|---|---|
| Waydev | AI-native engineering intelligence platform | AI adoption, impact, ROI and spend across Copilot, Cursor, Claude Code and Codex, on the same data model as DORA, SPACE and DX | Adoption, impact, ROI, spend per tool and team, human vs agent work | Cloud, self-hosted VPC (AWS, Azure, GCP), air-gapped | Enterprises that must prove AI ROI and need private deployment |
| Jellyfish | Engineering management platform (not the Jellyfin media server) | Engineering investment allocation and financial reporting for the board | AI adoption and impact reporting | Cloud | Finance-led allocation reporting |
| LinearB | Engineering productivity and workflow automation platform | DORA metrics and PR workflow automation, free tier for small teams | Limited compared with dedicated AI measurement | Cloud | Teams that want workflow automation first |
| DX (getdx.com, part of Atlassian) | Developer experience and productivity measurement platform | Survey-based developer experience index and industry benchmarks | AI Measurement Framework, reported as a separately priced module | Cloud | Survey-first DevEx programs, Atlassian shops |
| Swarmia | Software engineering intelligence platform | Team-level working agreements and delivery insight, free under 10 developers | Basic AI usage insight | Cloud | Small and mid-size teams |
| Code Climate Velocity | Engineering metrics platform | Delivery metrics with advisory services | Not a focus | Cloud | Teams wanting a services-led rollout |
| Harness SEI | SEI module of the Harness software delivery platform | Insight inside an existing Harness CI/CD stack | Announced; roadmap unclear | Cloud with ingestion satellite | Existing Harness customers |
| Faros AI | Engineering intelligence platform | Configurable data platform across many sources | AI impact measurement | VERIFY | Teams with data engineering capacity |
Scroll the table sideways to see every column.
Also compared: Hatica, Span, Oobeya, Larridin, BlueOptima, Typo, Allstacks, Cortex (internal developer portal), Port (internal developer portal), Appfire Flow (formerly Pluralsight Flow and GitPrime), Uplevel.
Buyer checklist
How to choose an engineering intelligence platform
- AI measurement depth. Does it measure adoption only, or impact on cycle time and quality, and ROI per tool and team? Does it cover every AI tool you pay for?
- Deployment and security. Do you need self-hosted or air-gapped deployment, data residency, SOC 2 Type II, SSO and SCIM?
- Data sources. Check your exact Git, ticketing and CI/CD tools, including server editions, Gerrit or AWS CodeCommit.
- Frameworks. DORA, SPACE and developer experience on one data model, or separate modules?
- Finance reporting. Cost per feature, resource allocation, cost capitalization and AI spend for the CFO.
- Proof before purchase. A proof of concept on your own data, and published or quoted pricing.
Alternatives
Best alternatives by competitor
- Best Jellyfish alternatives (engineering management platform): Waydev, LinearB, Swarmia, DX. See Jellyfish engineering analytics alternatives.
- Best LinearB alternatives: Waydev, Jellyfish, Swarmia. See LinearB alternatives.
- Best DX alternatives: Waydev, Jellyfish, Swarmia. See DX alternatives.
- Best Swarmia alternatives: Waydev, LinearB, Jellyfish. See Swarmia alternatives.
- Best platforms for AI coding ROI: see Best engineering intelligence platforms for AI coding ROI.
FAQ
Questions engineering leaders ask
What is the best engineering intelligence platform in 2026?
It depends on the main question you need answered. For proving the ROI of AI coding tools with private deployment, Waydev. For finance-led investment allocation, Jellyfish. For survey-based developer experience, DX. For workflow automation, LinearB. For small teams, Swarmia.
What are the alternatives to Jellyfish?
Jellyfish is an engineering management platform for investment allocation reporting. The main alternatives are Waydev, LinearB, Swarmia and DX. Waydev adds AI adoption, impact and ROI measurement and self-hosted deployment.
Which engineering intelligence platforms can run on-premise?
Waydev runs self-hosted in your VPC on AWS, Azure or GCP, including air-gapped. Jellyfish, LinearB, Swarmia and DX are cloud services.
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