Business Intelligence · head to head
Jedox vs StarRocks

Jedox
Business Intelligence
Excel-native planning and OLAP modelling for finance teams that refuse to leave spreadsheets
- From
- On request
- Rated
- -

StarRocks
Databases
Apache 2.0 MPP analytical database built for joins on open table formats
- From
- Free
- Rated
- -
The short version
- Only StarRocks has a free tier, so it costs nothing to try first.
- Each has a real cost: 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.; StarRocks self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.
- They diverge on capability: Jedox covers In-memory OLAP cube, StarRocks covers Cost-based optimiser.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Jedox and StarRocks actually diverge.
Identical on both: user rating (Not yet rated).
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 Jedox
- In-memory OLAP cube
- Excel add-in
- Web spreadsheet
- Integrator ETL
- Workflow and approvals
- AIssisted planning
- Financial consolidation
- Report designer
Only in StarRocks
- Cost-based optimiser
- Lakehouse query engine
- Primary key tables
- Materialised views
- Shared-data mode
- MySQL wire protocol
What people use each for
The jobs each tool is most often brought in to do.
Jedox
- A manufacturer whose budget process is hundreds of Excel files emailed between plants and needs one governed cube without retraining plant controllersnot StarRocks
- A mid-market group doing statutory consolidation and management reporting on the same data instead of in two systemsnot StarRocks
- A finance team that priced IBM Planning Analytics, found it unaffordable, and still wants cube-based modellingnot StarRocks
- A retailer running driver-based sales and workforce plans that must reconcile to the financial budgetnot StarRocks
StarRocks
- Customer-facing analytics where queries join a fact table to several dimensions and must return in well under a secondnot Jedox
- Querying an Iceberg lakehouse directly without copying data into a proprietary warehouse formatnot Jedox
- Replacing a ClickHouse deployment that has become unmanageable because every new question needs another denormalised tablenot Jedox
- Real-time analytics fed by change data capture where rows must be updated in place rather than appendednot Jedox
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
StarRocks
- Self-hosting is a genuine operations job: frontend and backend node roles, tablet distribution, compaction and materialised view refresh all need an owner, and there is no small-team-friendly single-binary mode.
- CelerData is by far the dominant contributor despite Linux Foundation stewardship, so the practical roadmap risk is the same as any single-vendor open source project.
- It inherits a MySQL-flavoured SQL dialect from its Doris ancestry, so queries written for PostgreSQL, Snowflake or Trino need rewriting rather than porting.
- Ecosystem support is thinner than ClickHouse or Trino: fewer client libraries, fewer managed hosting options and a much smaller pool of engineers who have run it in production.
- Memory pressure under concurrent large joins is a common production failure, and the tuning knobs for query memory limits are unforgiving compared with a cloud warehouse that just scales.
Pricing, plan by plan
Jedox
On request- Jedox$undefined/year
- Named user subscription, tiered by user count
- Cloud or self-managed deployment
- Modules priced separately for consolidation and add-ons
StarRocks
Free- StarRocksFree
- Apache 2.0 licence
- Linux Foundation governance
- No usage or node limits
- CelerData Cloud$undefined/year
- Managed StarRocks from the primary contributor
- BYOC and serverless deployment options
- Enterprise support and SLAs
Which should you pick?
Choose Jedox if
- You need in-memory olap cube.
- You work on Web, Windows, Linux, Cloud.
- You also want excel add-in.
Choose StarRocks if
- You need cost-based optimiser.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want lakehouse query engine.
Questions people ask
- Is Jedox or StarRocks better?
- Neither clearly leads. Jedox starts at On request and StarRocks at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Jedox or StarRocks?
- StarRocks has a free tier; the other does not. Paid plans start at On request for Jedox and Free for StarRocks.
- Does Jedox or StarRocks run on more platforms?
- Jedox runs on Web, Windows, Linux, Cloud. StarRocks runs on Linux, Docker, Kubernetes.
- Can I use StarRocks for free?
- Yes. StarRocks has a free tier, so you can try it without paying. Jedox starts at On request.
- What is Jedox best used for?
- Jedox is most often used for a manufacturer whose budget process is hundreds of excel files emailed between plants and needs one governed cube without retraining plant controllers, a mid-market group doing statutory consolidation and management reporting on the same data instead of in two systems, a finance team that priced ibm planning analytics, found it unaffordable, and still wants cube-based modelling, a retailer running driver-based sales and workforce plans that must reconcile to the financial budget. Of those, a manufacturer whose budget process is hundreds of excel files emailed between plants and needs one governed cube without retraining plant controllers and a mid-market group doing statutory consolidation and management reporting on the same data instead of in two systems are not what StarRocks is typically brought in for.
- What can Jedox do that StarRocks cannot?
- Jedox covers In-memory OLAP cube, Excel add-in, Web spreadsheet, Integrator ETL. StarRocks covers Cost-based optimiser, Lakehouse query engine, Primary key tables, Materialised views.
Answered from the vendors’ own pages
Jedox: Does Jedox publish pricing?
No. It is quoted per named user with tiering by volume, and modules such as consolidation are priced separately.
StarRocks: Is StarRocks open source?
Yes, Apache 2.0, governed under the Linux Foundation since 2023.
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.
StarRocks: How does it differ from ClickHouse?
StarRocks is built for joins across a star schema with a cost-based optimiser; ClickHouse is fastest on denormalised single tables.
Jedox: Can it run on premises?
Yes, on Windows or Linux, though the vendor pushes cloud and self-managed customers receive features later.
StarRocks: Who maintains it?
CelerData, formerly StarRocks Inc, is the dominant contributor and sells the managed service.
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.
StarRocks: Can it query Iceberg tables directly?
Yes, along with Hudi, Delta Lake, Hive and Paimon, with a local cache for repeat queries.
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