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Software · head to head

Dundas BI vs Sisense

Dundas BI logo

Dundas BI

Software

Flexible business intelligence platform

From
$500/month
Rated
-
Sisense logo

Sisense

Software

Infuse analytics everywhere

From
$10000/year
Rated
-

The short version

  • Each has a real cost: Dundas BI the published Embedded BI Package starts from about $4,738.70 USD per month billed annually for 8 core capacity; Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • They diverge on capability: Dundas BI covers Data Preparation, Sisense covers AI/ML Integration.

Where they differ

Only the attributes on which Dundas BI and Sisense actually diverge.

Attributes where Dundas BI and Sisense differ
AttributeDundas BISisense
Starting price$500/month$10000/year
Pricing modelsubscriptionUnknown
PlatformsWeb, Embedded, MobileWeb, Cloud, On-premises
Founded19922004

Identical on both: free tier (No), user rating (Not yet rated), category (Unknown).

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 Dundas BI

  • Data Preparation
  • Custom Visualizations
  • API
  • SQL Server
  • Oracle
  • PostgreSQL
  • MySQL

Only in Sisense

  • AI/ML Integration
  • In-chip Technology
  • REST API
  • Snowflake
  • Google Cloud
  • Salesforce
  • HubSpot

Both cover

  • White-labeling
  • Embedded Analytics
  • Azure
  • AWS
  • Web support
  • Embedded support
  • Mobile support

What people use each for

The jobs each tool is most often brought in to do.

Dundas BI

  • Embedding dashboards and analytics inside another applicationnot Sisense
  • Self service business intelligence and ad hoc reportingnot Sisense
  • Building custom data visualisations against open BI APIsnot Sisense

Sisense

  • Self-service analyticsnot Dundas BI
  • Data explorationnot Dundas BI
  • Ad-hoc reportingnot Dundas BI
  • Collaborative analysisnot Dundas BI
  • Embedded analyticsnot Dundas BI

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Dundas BI

  • The published Embedded BI Package starts from about $4,738.70 USD per month billed annually for 8 core capacity
  • That figure reflects a limited time 35 percent promotional discount rather than list price
  • Licensing is by CPU core capacity rather than by user, so cost scales with server hardware
  • Dundas is now part of insightsoftware following acquisition
  • The page states that a pricing plan is worked out together with the vendor rather than published as a rate card

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

Dundas BI

$500/month
  • Professional$500/month
    • Full Platform
    • Embedding
    • Support
  • EnterpriseFree
    • Unlimited Users
    • Multi-tenant
    • Premium Support

Sisense

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

Which should you pick?

Choose Dundas BI if

  • You need data preparation.
  • You work on Web, Embedded, Mobile.
  • You also want custom visualizations.

Choose Sisense if

  • You need ai/ml integration.
  • You work on Web, Cloud, On-premises.
  • You also want in-chip technology.

Questions people ask

Is Dundas BI or Sisense better?
Neither clearly leads. Dundas BI starts at $500/month and Sisense at $10000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dundas BI or Sisense?
Dundas BI starts at $500/month and Sisense at $10000/year.
Does Dundas BI or Sisense run on more platforms?
Dundas BI runs on Web, Embedded, Mobile. Sisense runs on Web, Cloud, On-premises.
What is Dundas BI best used for?
Dundas BI is most often used for embedding dashboards and analytics inside another application, self service business intelligence and ad hoc reporting, building custom data visualisations against open bi apis. Of those, embedding dashboards and analytics inside another application and self service business intelligence and ad hoc reporting are not what Sisense is typically brought in for.
What can Dundas BI do that Sisense cannot?
Dundas BI covers Data Preparation, Custom Visualizations, API, SQL Server. Sisense covers AI/ML Integration, In-chip Technology, REST API, Snowflake. Both handle White-labeling, Embedded Analytics, Azure, AWS.

Answered from the vendors’ own pages

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
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
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
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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