Business Intelligence · head to head
Anaplan vs Databox

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

Databox
Business Intelligence
KPI dashboards that pull from the tools you already run on
- From
- Free
- Rated
- -
The short version
- Only Databox has a free tier, so it costs nothing to try first.
- 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.; Databox data sources are the billing unit, so cost tracks the number of tools you connect rather than the value you get from them
- They diverge on capability: Anaplan covers Hyperblock calculation engine, Databox covers Pre-built dashboards.
- Prices and features above were last checked on 25 September 2026.
Where they differ
Only the attributes on which Anaplan and Databox 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 Anaplan
- Hyperblock calculation engine
- Connected planning
- Scenario and versioning
- Model builder
- Anaplan PlanIQ
- Workflow and approvals
- Application lifecycle management
- Data integration
Only in Databox
- Pre-built dashboards
- Dashboard designer
- Metric library
- Goal tracking
- Scorecards
- Alerts
- Scheduled reports
- Client reporting
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 Databox
- Demand and supply planning at SKU and location level for a manufacturer with tens of thousands of itemsnot Databox
- Workforce planning that ties headcount, cost and capacity to a revenue plan across dozens of business unitsnot Databox
- Replacing a spreadsheet estate where the master planning model has become too large and too fragile for Excel to open reliablynot Databox
Databox
- Watching marketing, sales and finance KPIs from separate SaaS tools on one shared dashboardnot Anaplan
- Agencies reporting campaign performance to many clients without rebuilding a report per accountnot Anaplan
- Putting a live KPI board on an office TV or a recurring email to a leadership teamnot Anaplan
- Replacing a manually maintained spreadsheet that someone updates from tool exports each weeknot Anaplan
- Tracking goals and getting alerted when a metric moves past a thresholdnot 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.
Databox
- Data sources are the billing unit, so cost tracks the number of tools you connect rather than the value you get from them
- The $71 Analyst plan is a single seat: adding even a second person means the $199 Core plan, a 2.8x jump
- AI credits are metered monthly, from 50 on Free to 1,000 on Scale, so heavier AI use pushes you up a tier
- Every published price assumes annual billing; monthly billing forfeits the advertised 20% saving
- Free and Analyst plans sync daily and hourly respectively, so neither suits anything close to real-time monitoring
- It is a dashboarding layer, not a warehouse: there is no transformation or modelling step for messy source data
Pricing, plan by plan
Anaplan
On request- Anaplan$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
Databox
Free- FreeFree
- 3 data sources
- 1 user
- 50 AI credits per month
- Analyst$71/month
- 5 data sources
- 1 user
- 150 AI credits per month
- Team - Core$199/month
- 10 data sources
- 3 users
- 500 AI credits per month
- Team - Scale$319/month
- 30 data sources
- 10 users
- 1,000 AI credits per month
Which should you pick?
Choose Anaplan if
- You need hyperblock calculation engine.
- You work on Web, iOS.
- You also want connected planning.
Choose Databox if
- You need pre-built dashboards.
- You want to start without paying.
- You work on Web, Mobile, Tv.
- You also want dashboard designer.
Questions people ask
- Is Anaplan or Databox better?
- Neither clearly leads. Anaplan starts at On request and Databox at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Anaplan or Databox?
- Databox has a free tier; the other does not. Paid plans start at On request for Anaplan and Free for Databox.
- Does Anaplan or Databox run on more platforms?
- Anaplan runs on Web, iOS. Databox runs on Web, Mobile, Tv.
- Can I use Databox for free?
- Yes. Databox has a free tier, so you can try it without paying. Anaplan starts at On request.
- 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 Databox is typically brought in for.
- What can Anaplan do that Databox cannot?
- Anaplan covers Hyperblock calculation engine, Connected planning, Scenario and versioning, Model builder. Databox covers Pre-built dashboards, Dashboard designer, Metric library, Goal tracking.
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.
Databox: How much does Databox cost?
Databox has a free forever plan with 3 data sources and 1 user. Paid plans are Analyst at $71 per month, Team Core at $199 per month and Team Scale at $319 per month, with an Agency plan from $79 per month plus $20 client packs and a Custom tier on request. All prices are billed annually; monthly billing forfeits the 20% annual saving.
SourceAnaplan: 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.
Databox: Does Databox have a free plan or a free trial?
Both. The Free plan is free forever and covers 3 data sources, 1 user, 50 AI credits a month and daily syncing. Paid plans also offer a 14-day free trial with no credit card required.
SourceAnaplan: Who owns Anaplan?
Thoma Bravo, which took it private in 2022 for $10.7bn.
Databox: How many users does each Databox plan include?
Free and Analyst are single-user. Team Core includes 3 users and Team Scale includes 10. The Agency and Custom plans include unlimited users.
SourceAnaplan: 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.
Databox: How many tools does Databox integrate with?
Databox connects to more than 130 tools, spreadsheets, databases and APIs, including HubSpot, Salesforce, Google Analytics, Google and Facebook Ads, Shopify, Stripe, QuickBooks, Google Sheets and custom API sources.
SourceDatabox: How often does Databox refresh its data?
The Free plan syncs daily. Analyst, Team Core, Team Scale, Agency and Custom plans all sync hourly.
SourceDatabox: Who makes Databox?
Databox, Inc., founded in 2012 by Davorin Gabrovec, who is now President and Chief Product Officer. Pete Caputa became CEO in 2017 after a decade at HubSpot. The company is headquartered in Boston, Massachusetts, with its product and engineering team based in Ptuj, Slovenia.
SourceRelated pages
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