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Software · head to head

Dundas BI vs ThoughtSpot

Dundas BI logo

Dundas BI

Software

Flexible business intelligence platform

From
$500/month
Rated
-
ThoughtSpot logo

ThoughtSpot

Software

AI-powered analytics for the modern enterprise

From
$12999/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; ThoughtSpot limited chart customization options; font, color, and size customizations for visualizations are restricted
  • They diverge on capability: Dundas BI covers White-labeling, ThoughtSpot covers Natural Language Search.

Where they differ

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

Attributes where Dundas BI and ThoughtSpot differ
AttributeDundas BIThoughtSpot
Starting price$500/month$12999/year
Pricing modelsubscriptionUnknown
PlatformsWeb, Embedded, MobileWeb, Cloud, On-Premises
Founded19922012

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

  • White-labeling
  • Data Preparation
  • Custom Visualizations
  • API
  • SQL Server
  • Oracle
  • PostgreSQL
  • MySQL

Only in ThoughtSpot

  • Natural Language Search
  • SpotIQ AI
  • Liveboards
  • Data Modeling
  • Snowflake
  • Databricks
  • BigQuery
  • Redshift

Both cover

  • Embedded Analytics
  • 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 ThoughtSpot
  • Self service business intelligence and ad hoc reportingnot ThoughtSpot
  • Building custom data visualisations against open BI APIsnot ThoughtSpot

ThoughtSpot

  • 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

ThoughtSpot

  • Limited chart customization options; font, color, and size customizations for visualizations are restricted
  • Data modeling setup is complex and requires specialized expertise
  • High implementation costs restrict adoption for smaller organizations
  • Requires quality data and user training to fully realize benefits

Pricing, plan by plan

Dundas BI

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

ThoughtSpot

$12999/year
  • StartupSpot$12999/year
    • Unlimited internal users
    • Up to 50 external customers
  • Essentials$25/per user per month
    • Self-service analytics
  • Pro$50/per user per month
    • Advanced analytics
    • Agentic features

Which should you pick?

Choose Dundas BI if

  • You need white-labeling.
  • You work on Web, Embedded, Mobile.
  • You also want data preparation.

Choose ThoughtSpot if

  • You need natural language search.
  • You work on Web, Cloud, On-Premises.
  • You also want spotiq ai.

Questions people ask

Is Dundas BI or ThoughtSpot better?
Neither clearly leads. Dundas BI starts at $500/month and ThoughtSpot at $12999/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dundas BI or ThoughtSpot?
Dundas BI starts at $500/month and ThoughtSpot at $12999/year.
Does Dundas BI or ThoughtSpot run on more platforms?
Dundas BI runs on Web, Embedded, Mobile. ThoughtSpot 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 ThoughtSpot is typically brought in for.
What can Dundas BI do that ThoughtSpot cannot?
Dundas BI covers White-labeling, Data Preparation, Custom Visualizations, API. ThoughtSpot covers Natural Language Search, SpotIQ AI, Liveboards, Data Modeling. Both handle Embedded Analytics, Web support, Embedded support, Mobile support.

Answered from the vendors’ own pages

ThoughtSpot: What is ThoughtSpot's core capability?

ThoughtSpot pioneered search-driven analytics, allowing users to type questions and get charts back instantly without complex setup. This semantic layer approach democratizes data access for business users.

Source
ThoughtSpot: What are ThoughtSpot's pricing plans?

ThoughtSpot offers StartupSpot at $12,999 per year for startups, an Essentials plan starting at $25 per user per month, a Pro plan at $50 per user per month, and custom Enterprise pricing for large deployments.

Source
ThoughtSpot: Does ThoughtSpot support embedded analytics?

Yes, ThoughtSpot provides embedded analytics capabilities for building data-driven applications, with pricing varying based on deployment model and scale.

Source
ThoughtSpot: What is SpotIQ?

SpotIQ is ThoughtSpot's AI-driven anomaly detection feature that automatically identifies interesting patterns and insights in data without manual configuration.

Source
ThoughtSpot: Can ThoughtSpot handle complex data models?

While ThoughtSpot excels in self-service BI and intuitive querying, data modeling can be complex and requires expertise to set up properly.

Source

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