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Business Intelligence · head to head

Anaplan vs Sisense

Anaplan logo

Anaplan

Business Intelligence

Connected planning platform with an in-memory calculation engine for large multidimensional models

From
On request
Rated
-
Full reviewWebsite
Sisense logo

Sisense

Business Intelligence

Infuse analytics everywhere

From
$10000/year
Rated
-
Full reviewWebsite

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.; Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • They diverge on capability: Anaplan covers Hyperblock calculation engine, Sisense covers Embedded Analytics.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Anaplan and Sisense actually diverge.

Attributes where Anaplan and Sisense differ
AttributeAnaplanSisense
Starting priceOn request$10000/year
Pricing modelquoteUnknown
PlatformsWeb, iOSWeb, Cloud, On-premises
FoundedUnknown2004

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 Sisense

  • Embedded Analytics
  • AI/ML Integration
  • In-chip Technology
  • White-labeling
  • REST API
  • Snowflake
  • AWS
  • Azure

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 Sisense
  • Demand and supply planning at SKU and location level for a manufacturer with tens of thousands of itemsnot Sisense
  • Workforce planning that ties headcount, cost and capacity to a revenue plan across dozens of business unitsnot Sisense
  • Replacing a spreadsheet estate where the master planning model has become too large and too fragile for Excel to open reliablynot Sisense

Sisense

  • Self-service analyticsnot Anaplan
  • Data explorationnot Anaplan
  • Ad-hoc reportingnot Anaplan
  • Collaborative analysisnot Anaplan
  • Embedded analyticsnot 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.

Sisense

  • Pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • Limited connector ecosystem compared to competitors; missing native connectors to many data sources
  • Dashboard customization options are limited; widgets cannot span multiple rows, restricting layout possibilities
  • Performance issues reported with large datasets and stability problems with data cubes

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

Sisense

$10000/year
  • Small Team$10000/year minimum
    • Basic analytics dashboards
    • Limited data sources
  • Mid-Market$undefined/custom
    • Advanced analytics
    • Multiple data sources
    • Custom integrations
  • Enterprise$60000/year+
    • Advanced AI analytics
    • Premium support
    • Custom development

Which should you pick?

Choose Anaplan if

  • You need hyperblock calculation engine.
  • You work on Web, iOS.
  • You also want connected planning.
Anaplan review

Choose Sisense if

  • You need embedded analytics.
  • You work on Web, Cloud, On-premises.
  • You also want ai/ml integration.
Sisense review

Questions people ask

Is Anaplan or Sisense better?
Neither clearly leads. Anaplan starts at On request and Sisense at $10000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anaplan or Sisense?
Anaplan starts at On request and Sisense at $10000/year.
Does Anaplan or Sisense run on more platforms?
Anaplan runs on Web, iOS. Sisense runs on Web, Cloud, On-premises.
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 Sisense is typically brought in for.
What can Anaplan do that Sisense cannot?
Anaplan covers Hyperblock calculation engine, Connected planning, Scenario and versioning, Model builder. Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling.

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.

Sisense: What is Sisense primarily used for?

Sisense is an embedded analytics platform that combines data ingestion, modeling, and dashboarding, allowing organizations to embed analytics and insights directly into their applications and workflows.

Source
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.

Sisense: Does Sisense have a transparent pricing model?

Sisense pricing is not publicly listed and requires contacting sales. Typical costs start at $10,000 per year for small teams but can scale to $60,000+ annually depending on users, data volume, number of data sources, and complexity. AI capabilities typically add 20-30% to base costs.

Source
Anaplan: Who owns Anaplan?

Thoma Bravo, which took it private in 2022 for $10.7bn.

Sisense: What data sources can Sisense connect to?

Sisense provides pre-built connectors for popular applications including Salesforce, Google Analytics, Zendesk, and others. It also supports custom connections through APIs and SDKs for specialized data sources.

Source
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.

Sisense: Is Sisense easy to use for non-technical users?

Sisense requires significant technical expertise to set up, particularly for creating Elasticubes (database caches) which often need SQL code. While it promotes codeless reporting, typical implementations require a technical resource.

Source
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