Jellyfish

Name: Jellyfish
Brand: Jellyfish

Jellyfish is a software engineering intelligence and engineering management analytics platform that connects to developer tools, normalizes activity data, and produces metrics and reports to inform R&D and engineering leadership about productivity, workflow patterns, and AI-assisted tooling adoption.

Est 2017|Valuation $618.7M|Raised $117.2M|48 Ref Customers

LinkedIn 19K|Web traffic 7K|FTEs 260

MarketsSource Code Management (SCM)Observability Platform

Platform CoversStrategic Portfolio Management (SPM)Engineering Analytics

01Competitive Landscape

| Aspect | Jellyfish | LinearB | DX (getdx.com) | |--------|-----------|---------|----------------| | Starting Price | Not publicly listed; demo/quote-based engagement typical | Published tiered pricing available from the vendor (per-seat pricing cited by the vendor) | Not publicly listed in all channels; vendor describes enterprise pricing options | | Typical Use Cases | Organizations seeking structured engineering-to-business reporting, investment allocation support, and analyses of AI tool adoption | Teams prioritizing SDLC metrics with action/automation features and self-serve onboarding | Organizations focused on developer experience programs, surveys/sentiment, and benchmarking | | Differentiation | Vendor positions the product around engineering/finance alignment and capitalization workflows; also publishes research on AI adoption | Published pricing, trials, and emphasis on automation/actions | Strong emphasis on developer experience measurement and benchmarking | | Potential Drawbacks | Quote-based/enterprise commercial model; governance and integration complexity required to ensure accurate metrics | Published per-seat pricing may not fit all budgets; may be GitHub-centric in some tiers | May require a mature DevEx program and associated processes to capture full value | - Direct competitors and their differentiators - LinearB: publishes pricing, offers a free trial, and focuses on automation/actions alongside analytics. - Swarmia: positioned for engineering effectiveness at the team level. - DX: focuses on developer experience (surveys, benchmarking) plus workflow analytics. - Feature comparison: relative strengths and weaknesses - Areas where the vendor appears to focus: executive-level alignment, investment allocation/capitalization support, and reporting on AI-tool adoption. - Areas where other vendors may be stronger: transparent pricing and self-serve trials (depending on the vendor), or deeper DevEx survey/benchmarking capabilities. - Pricing comparison: value proposition vs alternatives - Publicly listed pricing from competitors provides a transparent baseline for comparisons; the vendor's quote-based model requires direct commercial engagement to evaluate value for money. - Market share and adoption trends - Adoption figures included in public listings are vendor-reported or vendor-provided on third-party platforms; treat these as self-reported until independently validated. - When customers choose competitors instead (and why) - Common reasons include the need for transparent entry pricing and trials, a stronger focus on developer experience programs, or preference for a lighter-weight analytics tool.

01Competitive Landscape

Aspect	Jellyfish	LinearB	DX (getdx.com)
Starting Price	Not publicly listed; demo/quote-based engagement typical	Published tiered pricing available from the vendor (per-seat pricing cited by the vendor)	Not publicly listed in all channels; vendor describes enterprise pricing options
Typical Use Cases	Organizations seeking structured engineering-to-business reporting, investment allocation support, and analyses of AI tool adoption	Teams prioritizing SDLC metrics with action/automation features and self-serve onboarding	Organizations focused on developer experience programs, surveys/sentiment, and benchmarking
Differentiation	Vendor positions the product around engineering/finance alignment and capitalization workflows; also publishes research on AI adoption	Published pricing, trials, and emphasis on automation/actions	Strong emphasis on developer experience measurement and benchmarking
Potential Drawbacks	Quote-based/enterprise commercial model; governance and integration complexity required to ensure accurate metrics	Published per-seat pricing may not fit all budgets; may be GitHub-centric in some tiers	May require a mature DevEx program and associated processes to capture full value

Direct competitors and their differentiators
- LinearB: publishes pricing, offers a free trial, and focuses on automation/actions alongside analytics.
- Swarmia: positioned for engineering effectiveness at the team level.
- DX: focuses on developer experience (surveys, benchmarking) plus workflow analytics.
Feature comparison: relative strengths and weaknesses
- Areas where the vendor appears to focus: executive-level alignment, investment allocation/capitalization support, and reporting on AI-tool adoption.
- Areas where other vendors may be stronger: transparent pricing and self-serve trials (depending on the vendor), or deeper DevEx survey/benchmarking capabilities.
Pricing comparison: value proposition vs alternatives
- Publicly listed pricing from competitors provides a transparent baseline for comparisons; the vendor's quote-based model requires direct commercial engagement to evaluate value for money.
Market share and adoption trends
- Adoption figures included in public listings are vendor-reported or vendor-provided on third-party platforms; treat these as self-reported until independently validated.
When customers choose competitors instead (and why)
- Common reasons include the need for transparent entry pricing and trials, a stronger focus on developer experience programs, or preference for a lighter-weight analytics tool.

Aspect

Jellyfish

LinearB

DX (getdx.com)

Starting Price

Not publicly listed; demo/quote-based engagement typical

Published tiered pricing available from the vendor (per-seat pricing cited by the vendor)

Not publicly listed in all channels; vendor describes enterprise pricing options

Typical Use Cases

Organizations seeking structured engineering-to-business reporting, investment allocation support, and analyses of AI tool adoption

Teams prioritizing SDLC metrics with action/automation features and self-serve onboarding

Organizations focused on developer experience programs, surveys/sentiment, and benchmarking

Differentiation

Vendor positions the product around engineering/finance alignment and capitalization workflows; also publishes research on AI adoption

Published pricing, trials, and emphasis on automation/actions

Strong emphasis on developer experience measurement and benchmarking

Potential Drawbacks

Quote-based/enterprise commercial model; governance and integration complexity required to ensure accurate metrics

Published per-seat pricing may not fit all budgets; may be GitHub-centric in some tiers

May require a mature DevEx program and associated processes to capture full value