Developer Tools · head to head
Dagger vs Jedox

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

Jedox
Business Intelligence
Excel-native planning and OLAP modelling for finance teams that refuse to leave spreadsheets
- From
- On request
- Free plan
- No
The short version
- Dagger starts at $50/mo; Jedox prices on request.
- Only Dagger lists pipelines as code; only Jedox lists in-memory OLAP cube.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which Dagger and Jedox 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 Jedox
- In-memory OLAP cube
- Excel add-in
- Web spreadsheet
- Integrator ETL
- Workflow and approvals
- AIssisted planning
- Financial consolidation
- Report designer
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 Jedox
- An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot Jedox
- A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot Jedox
- A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot Jedox
Jedox
- A manufacturer whose budget process is hundreds of Excel files emailed between plants and needs one governed cube without retraining plant controllersnot Dagger
- A mid-market group doing statutory consolidation and management reporting on the same data instead of in two systemsnot Dagger
- A finance team that priced IBM Planning Analytics, found it unaffordable, and still wants cube-based modellingnot Dagger
- A retailer running driver-based sales and workforce plans that must reconcile to the financial budgetnot 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
Jedox
- Cube modelling is a specialist skill closer to IBM TM1 than to a modern SaaS planning tool, so most customers depend on a partner or a single internal expert whose departure leaves the model unmaintainable
- Almost every deployment carries a partner implementation fee that frequently matches or exceeds the first year of licence, and that cost never appears in the vendor comparison you are shown
- The Excel add-in is the strongest client, which means Mac-based and browser-only users get a materially thinner experience than the Windows majority
- Dashboards and visual analytics are weaker than dedicated BI tools, so organisations typically keep Power BI or Tableau alongside Jedox and pay for both
- Insight Partners took a majority stake in 2021, and the pressure toward a cloud subscription base has meant self-managed customers see new capability later than cloud ones
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
Jedox
On request- JedoxOn request
- Named user subscription, tiered by user count
- Cloud or self-managed deployment
- Modules priced separately for consolidation and add-ons
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.
Choose Jedox if
- You need in-memory olap cube.
- You work on Web, Windows, Linux.
- You also want excel add-in.
Questions people ask
- Is Dagger or Jedox better?
- Neither clearly leads. Dagger starts at Free and Jedox at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dagger or Jedox?
- Dagger has a free tier; the other does not. Paid plans start at Free for Dagger and On request for Jedox.
- Does Dagger or Jedox run on more platforms?
- Dagger runs on Linux, macOS, Windows, Self-hosted. Jedox runs on Web, Windows, Linux.
- Can I use Dagger for free?
- Yes. Dagger has a free tier, so you can try it without paying. Jedox 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 Jedox is typically brought in for.
- What can Dagger do that Jedox cannot?
- Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules. Jedox covers In-memory OLAP cube, Excel add-in, Web spreadsheet, Integrator ETL.
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.
Jedox: Does Jedox publish pricing?
No. It is quoted per named user with tiering by volume, and modules such as consolidation are priced separately.
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.
Jedox: Is Jedox a BI tool or a planning tool?
A planning tool with reporting attached. Organisations almost always keep a separate BI tool for visual analysis.
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.
Jedox: Can it run on premises?
Yes, on Windows or Linux, though the vendor pushes cloud and self-managed customers receive features later.
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.
Jedox: How does it compare to IBM Planning Analytics?
Similar cube architecture at a lower price point, with a friendlier web layer and a smaller partner ecosystem.
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