Tools
Free and Open-Source DORA Tooling: What Actually Works in 2026
You can run DORA metrics without paying a vendor. Here's what's available, what each option costs you in engineering time, and when free stops being cheaper.
Published research
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Platform comparisons, pricing, and the architecture choice behind them.
Tools
Metadata or Code-Level Analytics: Which Architecture Do You Need?
Engineering analytics platforms split into two architectures. The difference decides what questions you can answer — and how long your security review takes.
Published research
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Flow Is Retiring: The Dates, and What to Move To
Appfire Flow (ex Pluralsight Flow, ex GitPrime) reaches end of life 31 December 2027 and renewals closed 30 June 2026. The verified dates and how to pick a replacement.
Documentation & public sources
Tools
LinearB vs Swarmia: Two Different Answers to the Same Problem
LinearB automates the workflow. Swarmia measures the team and asks it to change. Which one fits depends on a question about your organisation, not your stack.
Documentation & public sources
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What Engineering Analytics Platforms Actually Cost
Most vendors in this category hide pricing. Here's what buyers report paying, where the figures disagree, and how to read a quote before you sign one.
Published research
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Jellyfish vs LinearB: Boardroom Tool or Workflow Tool
These two platforms answer different people's questions. Jellyfish is built for the CTO reporting to a board; LinearB for the manager fixing a review bottleneck.
Documentation & public sources
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Jellyfish Alternatives for Teams Under 100 Engineers
Jellyfish is built for organisations where a six-figure platform is a rounding error. If that isn't you, here's the field — including the options that publish pricing.
Documentation & public sources
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DX vs Swarmia: Two Ways to Measure How Work Feels
Both add developer experience data to delivery metrics. DX leads with surveys and a proprietary index; Swarmia pairs surveys with system data and team agreements.
Documentation & public sources
Tools
12 Questions to Ask Before You Sign With Any Engineering Analytics Vendor
The questions that separate a platform that answers your question from one that answers a question you don't have. Ask all twelve before the second demo.
Published research
Tools
Engineering Analytics Under 50 Engineers: What You Need and What You Don't
The market is built for organisations several times your size. Here's what's worth having below 50 engineers, and what you'd be paying for that you won't use.
Published research
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LinearB Alternatives: What to Look At and Why
LinearB's distinctive feature is workflow automation, not measurement. That changes which alternatives are actually comparable — and most lists get it wrong.
Documentation & public sources
Tools
Negotiating an Engineering Analytics Contract: What's Actually in the Bill
Quote-only pricing means the first number is a starting position. Where the leverage is, what the line items hide, and which terms matter more than the rate.
Published research
Tools
The Three-Year Cost of an Engineering Analytics Platform
The licence is the part everyone models. Here's the full three-year picture, including the internal time that routinely exceeds it.
Published research
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Faros AI vs Jellyfish: Data Integration or Investment Reporting
Both sell to executives and both cost six figures at scale. They answer different questions, and one of them has staked its position on AI ROI.
Documentation & public sources
Tools
Choosing Analytics Tooling for a Platform Team
Platform teams have a different buying problem: they need metrics about other people's work, surfaced where developers already are. Most of the category isn't built for that.
Published research
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Independent work on engineering measurement. No vendor sponsorship, no affiliate placement, no weekly cadence padded with links.