Business Intelligence · head to head
Anaplan vs Rill Data

Anaplan
Business Intelligence
Connected planning platform with an in-memory calculation engine for large multidimensional models
- From
- On request
- Rated
- -

Rill Data
Business Intelligence
Local-first BI on DuckDB and ClickHouse with dashboards defined as code
- From
- $20/month
- Rated
- -
The short version
- Each has a real cost: Anaplan workspace is licensed by memory consumed, so a model that grows as the business adds SKUs, regions or scenarios generates a bill increase without a single new user being added, and teams end up optimising models for licence cost rather than clarity.; Rill Data the seat price of 20 dollars is misleading as a budget figure: Rill’s own calculator puts a small two-seat project at around 256 dollars a month, with compute making up the great majority.
- They diverge on capability: Anaplan covers Hyperblock calculation engine, Rill Data covers Local development.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Anaplan and Rill Data actually diverge.
Identical on both: free tier (No), user rating (Not yet rated), category (Business Intelligence).
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 Anaplan
- Hyperblock calculation engine
- Connected planning
- Scenario and versioning
- Model builder
- Anaplan PlanIQ
- Workflow and approvals
- Application lifecycle management
- Data integration
Only in Rill Data
- Local development
- Dashboards as code
- Embedded DuckDB
- Bring your own database
- Alerts and scheduled reports
- Embedded analytics
What people use each for
The jobs each tool is most often brought in to do.
Anaplan
- Sales territory and quota planning across thousands of reps where a change to segmentation must reflow quota immediatelynot Rill Data
- Demand and supply planning at SKU and location level for a manufacturer with tens of thousands of itemsnot Rill Data
- Workforce planning that ties headcount, cost and capacity to a revenue plan across dozens of business unitsnot Rill Data
- Replacing a spreadsheet estate where the master planning model has become too large and too fragile for Excel to open reliablynot Rill Data
Rill Data
- An analytics team that wants dashboard changes to go through code review rather than being edited in a web UInot Anaplan
- Interactive exploration of event-scale data where a warehouse round trip per filter click is too slownot Anaplan
- Embedding fast slice-and-dice dashboards into a product where the underlying store is already ClickHouse or Druidnot Anaplan
- A data engineer prototyping a metrics layer locally on a laptop before committing to any cloud spendnot Anaplan
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Anaplan
- Workspace is licensed by memory consumed, so a model that grows as the business adds SKUs, regions or scenarios generates a bill increase without a single new user being added, and teams end up optimising models for licence cost rather than clarity.
- Model building requires certified Anaplan modellers using a proprietary formula language, and the labour market for that skill is small, so most customers stay dependent on a systems integrator long after go-live.
- Thoma Bravo took the company private in 2022 in a $10.7bn deal, and customers have since reported firmer renewal terms; a private-equity owner optimising for cash flow is a real factor in a multi-year planning contract.
- Native reporting and visualisation are weak for anything beyond planning grids, so most customers push data out to Power BI or Tableau for executive reporting, adding another tool and another latency point.
- Implementations are long. A connected planning programme across finance and supply chain routinely runs six to eighteen months before the first production plan, which is difficult to justify when the business wants a forecast this quarter.
Rill Data
- The seat price of 20 dollars is misleading as a budget figure: Rill’s own calculator puts a small two-seat project at around 256 dollars a month, with compute making up the great majority.
- Dashboards are defined in YAML and SQL, so business users cannot create or change one without a developer and a Git workflow, which stalls self-service adoption.
- It is built for the explore-a-metric pattern and does not produce pixel-perfect financial or operational reports, so most organisations still need a second reporting tool.
- AI tokens and API calls are quota-limited per seat, with API overage at a cent per call, so programmatic consumers can create an unbudgeted line item.
- As a smaller vendor competing against Looker, Tableau and Power BI, the ecosystem of consultants, templates and trained analysts is thin, which raises the cost of hiring for it.
Pricing, plan by plan
Anaplan
On request- Anaplan$undefined/year
- Licensed by user tier and by workspace capacity
- Workspace charged on memory consumed by models, independent of user count
- Multi-year enterprise agreements are the norm
Rill Data
$20/month- Starter$20/month
- Per seat, up to twenty seats
- Three projects
- Compute at 0.15 USD per compute unit hour
- Growth$30/month
- Per seat, up to one hundred seats
- Ten projects
- Compute at 0.20 USD per compute unit hour
- Enterprise$undefined/year
- Annual platform licence with negotiated capacity
- Unlimited seats and projects
- Dedicated infrastructure
Which should you pick?
Choose Anaplan if
- You need hyperblock calculation engine.
- You work on Web, iOS.
- You also want connected planning.
Choose Rill Data if
- You need local development.
- You work on Web, Linux, macOS, Windows.
- You also want dashboards as code.
Questions people ask
- Is Anaplan or Rill Data better?
- Neither clearly leads. Anaplan starts at On request and Rill Data at $20/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anaplan or Rill Data?
- Anaplan starts at On request and Rill Data at $20/month.
- Does Anaplan or Rill Data run on more platforms?
- Anaplan runs on Web, iOS. Rill Data runs on Web, Linux, macOS, Windows.
- What is Anaplan best used for?
- Anaplan is most often used for sales territory and quota planning across thousands of reps where a change to segmentation must reflow quota immediately, demand and supply planning at sku and location level for a manufacturer with tens of thousands of items, workforce planning that ties headcount, cost and capacity to a revenue plan across dozens of business units, replacing a spreadsheet estate where the master planning model has become too large and too fragile for excel to open reliably. Of those, sales territory and quota planning across thousands of reps where a change to segmentation must reflow quota immediately and demand and supply planning at sku and location level for a manufacturer with tens of thousands of items are not what Rill Data is typically brought in for.
- What can Anaplan do that Rill Data cannot?
- Anaplan covers Hyperblock calculation engine, Connected planning, Scenario and versioning, Model builder. Rill Data covers Local development, Dashboards as code, Embedded DuckDB, Bring your own database.
Answered from the vendors’ own pages
Anaplan: Why is Anaplan expensive even when user counts are low?
Because workspace is licensed on the memory your models consume as well as on users. Large models cost money regardless of how many people log in.
Rill Data: Is Rill open source?
The Rill developer binary is open source and free to run locally; Rill Cloud is the paid product.
Anaplan: Do we need a systems integrator?
Almost always for the first implementation. The proprietary modelling language and the scale of typical models make an experienced partner or an internal certified team effectively mandatory.
Rill Data: How much does it actually cost?
Seats start at 20 USD per month, but hosted compute at 0.15 USD per compute unit hour typically dominates the bill. Bringing your own database removes the usage fee.
Anaplan: Who owns Anaplan?
Thoma Bravo, which took it private in 2022 for $10.7bn.
Rill Data: Can business users build dashboards?
Not directly. Dashboards are YAML and SQL under version control.
Anaplan: Can it replace our BI tool?
No. It is a planning and calculation platform; most customers still export to Power BI or Tableau for reporting and dashboards.
Rill Data: Which databases can back a deployed project?
DuckDB, ClickHouse, Druid, Pinot, Snowflake and others.
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