Developer Tools · head to head
Dagger vs Pigment

Dagger
Developer Tools
Programmable CI/CD engine that runs your pipeline as containers on any runner
- From
- Free
- Free plan
- Yes

Pigment
Business Intelligence
Enterprise business planning platform for finance, sales and workforce modelling
- From
- On request
- Free plan
- No
The short version
- Pigment is a French-built planning platform.
- Dagger starts at $50/mo; Pigment prices on request.
- Only Dagger lists pipelines as code; only Pigment lists dimensional modelling.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which Dagger and Pigment actually diverge.
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Dagger
- Pipelines as code
- Local and CI parity
- Content-addressed caching
- Dagger Functions and modules
- CI-provider agnostic
- Dagger Cloud traces
- GitHub Checks integration
- Container-native execution
Only in Pigment
- Dimensional modelling
- Scenario planning
- Data connectors
- Application blocks
- Reporting and boards
- Access control
- Audit trail
- AI assistance
What people use each for
The jobs each tool is most often brought in to do.
Dagger
- A platform team maintaining near-identical build YAML across forty repositories that wants one versioned module every repository calls insteadnot Pigment
- An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot Pigment
- A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot Pigment
- A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot Pigment
Pigment
- A finance team retiring a fragile Excel consolidation that no one can audit and only one person can runnot Dagger
- Sales operations modelling quota, territory and headcount capacity against a revenue plan in the same system finance usesnot Dagger
- A company that needs monthly re-forecasting fast enough to run scenarios live in the leadership meetingnot Dagger
- Replacing an ageing Anaplan estate where the model has become unmaintainable and per-workspace costs have crept upnot Dagger
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dagger
- Dagger is not a CI provider, so you keep paying for GitHub Actions or GitLab runners underneath it; the Dagger Cloud subscription is an addition to your CI bill, not a replacement for it
- Writing pipelines in Go or TypeScript raises the barrier to entry: a release engineer who could edit a YAML step now needs to read code, and the people who can fix a broken build shrink to those comfortable with the SDK
- The engine runs as a container on the runner and needs a persistent cache volume to deliver its main benefit, so ephemeral CI runners give you correctness without the speed, and provisioning durable cache storage is extra platform work
- The Team plan caps at ten users and ten million events per month; an organisation of any size crosses that quickly and moves to Enterprise pricing that is not published, so cost at scale is unknowable up front
- The module ecosystem is young and thinly maintained relative to the marketplace of a mature CI provider, so integrations that exist as a one-line Action often have to be written yourself as a Dagger function
Pigment
- No pricing is published and the structure has three moving parts, platform fee, use-case fees and tiered seats, so two companies of the same size can pay very different amounts and neither can benchmark the other
- Cost scales with planning processes rather than with company size, so a successful first deployment creates internal demand that directly increases the bill at renewal
- It requires a modelling owner. Without a person who understands dimensional design, teams rebuild spreadsheet patterns in Pigment and inherit all the maintenance problems they were trying to escape
- Implementation is partner-led and measured in months, so the payback horizon is long compared with lighter FP&A tools that a controller can configure alone
- The connector library covers major systems well but the long tail is thinner than the incumbents, and industry-specific source systems often need a warehouse or a file drop in between
Pricing, plan by plan
Dagger
Free- IndividualFree
- One user
- One million events per month
- Workflow logs and function call traces
- Team$50/mo
- Up to ten users
- Ten million events per month
- Module insights and module catalogue
- EnterpriseOn request
- Custom user and event limits
- SSO
- Managed single-tenant deployment
Pigment
On request- Pigment platformOn request
- Platform fee plus per use-case fees
- Licences tiered as editor, contributor and explorer
- No free tier and no self-service signup
Which should you pick?
Choose Dagger if
- You need pipelines as code.
- You want to start without paying.
- You work on Linux, macOS, Windows, Self-hosted.
- You also want local and ci parity.
Questions people ask
- Is Dagger or Pigment better?
- Neither clearly leads. Dagger starts at Free and Pigment at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dagger or Pigment?
- Dagger has a free tier; the other does not. Paid plans start at Free for Dagger and On request for Pigment.
- Does Dagger or Pigment run on more platforms?
- Dagger runs on Linux, macOS, Windows, Self-hosted. Pigment runs on Web.
- Can I use Dagger for free?
- Yes. Dagger has a free tier, so you can try it without paying. Pigment starts at On request.
- What is Dagger best used for?
- Dagger is most often used for a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead, an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration, a team whose engineers waste hours pushing commits to debug ci-only failures and needs to reproduce the exact run locally, a monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materially. Of those, a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead and an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration are not what Pigment is typically brought in for.
- What can Dagger do that Pigment cannot?
- Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules. Pigment covers Dimensional modelling, Scenario planning, Data connectors, Application blocks.
Answered from the vendors’ own pages
Dagger: Does Dagger replace GitHub Actions?
No. Dagger runs inside GitHub Actions or any other CI. It replaces the YAML that describes your pipeline steps, not the trigger and runner layer.
Pigment: Does Pigment publish prices?
No. Expect a quote combining a platform fee, fees per planning use case, and seat licences split into editor, contributor and explorer tiers.
Dagger: Is the engine open source?
Yes, the Dagger engine and SDKs are open source and free. Dagger Cloud, the observability product, is what costs money.
Pigment: Is Pigment an alternative to Anaplan?
It is positioned directly against Anaplan and much of its customer base is migrating from it, mainly citing modelling readability and recalculation speed.
Dagger: What is an event in the pricing?
Dagger Cloud meters pipeline telemetry events. One million per month is free; the Team plan at 50 USD per month allows ten million.
Pigment: Can we use it without consultants?
In practice most deployments use Pigment or a partner for the initial build. Ongoing model changes can be handled in-house once someone owns the modelling discipline.
Dagger: Can I run the same pipeline on my laptop?
Yes, that is the main reason teams adopt it. The dagger CLI executes the identical graph locally, so CI-only failures become reproducible.
Pigment: Where is data hosted?
Pigment is a European vendor with regional hosting options, which is often the deciding factor for EU buyers with data residency requirements.
Related pages
Other head to heads
- Dagger vs Earthly
- Dagger vs Buildkite
- Dagger vs Tilt
- Dagger vs Nixpacks
- Dagger vs Depot
- Dagger vs Blacksmith
- Dagger vs Jenkins
- Dagger vs WarpBuild
- Dagger vs Cloud Native Buildpacks
- Dagger vs GitLab
- Dagger vs ConfigCat
- Dagger vs Cortex
- Dagger vs Deep Code
- Dagger vs Deno
- Dagger vs Envoy
- Dagger vs Fig
- Dagger vs Docker
- Dagger vs Kubernetes
- Dagger vs Jedox
- Dagger vs Board International
- Dagger vs Anaplan
- Dagger vs Databox
- Dagger vs ThoughtSpot
- Dagger vs Cube
- Dagger vs Hebbia
- Dagger vs Zenlytic
- Dagger vs Power BI
- Dagger vs Amazon QuickSight
- Dagger vs MicroStrategy
- Dagger vs Cyfe
- Dagger vs Oracle Analytics Cloud
- Dagger vs Periscope Data
- Dagger vs Zoho Analytics
- Dagger vs Baremetrics
- Dagger vs Cabin
- Dagger vs Celonis
- Pigment vs Earthly
- Pigment vs Buildkite
- Pigment vs Tilt
- Pigment vs Nixpacks
- Pigment vs Depot
- Pigment vs Blacksmith
- Pigment vs Jenkins
- Pigment vs WarpBuild
- Pigment vs Cloud Native Buildpacks
- Pigment vs GitLab
- Pigment vs ConfigCat
- Pigment vs Cortex
- Pigment vs Deep Code
- Pigment vs Deno
- Pigment vs Envoy
- Pigment vs Fig
- Pigment vs Docker
- Pigment vs Kubernetes
- Pigment vs Jedox
- Pigment vs Board International
- Pigment vs Anaplan
- Pigment vs Databox
- Pigment vs ThoughtSpot
- Pigment vs Cube
- Pigment vs Hebbia
- Pigment vs Zenlytic
- Pigment vs Power BI
- Pigment vs Amazon QuickSight
- Pigment vs MicroStrategy
- Pigment vs Cyfe
- Pigment vs Oracle Analytics Cloud
- Pigment vs Periscope Data
- Pigment vs Zoho Analytics
- Pigment vs Baremetrics
- Pigment vs Cabin
- Pigment vs Celonis
