Is ThoughtSpot Spotter free to use?

No. Essentials costs $25 per user monthly and excludes Spotter. Pro costs $50 and includes 25 Spotter queries per user each month.

Does ThoughtSpot replace Tableau or Looker?

ThoughtSpot positions Liveboards as a full BI platform, not an add-on. Its comparison pages encourage replacing tools such as Tableau, Power BI, Sigma, and Omni.

Can Spotter be used inside Slack or Teams?

Slack supports questions and visual answers in channels or threads. ThoughtSpot documents Teams mainly for alerts and Liveboard delivery, not conversational Q&A.

All comparisons

Dot vs ThoughtSpot Spotter

Dot adds AI analysis to the data stack you already run. ThoughtSpot can replace a BI platform.

What are the differences between Dot and ThoughtSpot Spotter?

Showing 15 of 43 capabilities across 7 categories

02 / 10

Where can users receive answers?

Native Microsoft Teams app

Dot: Yes. Native Teams app, same as Slack
ThoughtSpot Spotter: Partly. Alerts/Liveboard pushes only; no conversational Q&A Source

Answers and reports by email

Dot: Yes. Email is a full ask-and-answer surface
ThoughtSpot Spotter: Partly. Scheduled delivery only, not conversational Q&A Source

Native mobile apps

Dot: No. No native app; web works in mobile browser
ThoughtSpot Spotter: Yes. Native iOS and Android apps Source

05 / 10

How do you know the data is correct?

Regression tests for important questions

Dot: Yes. Per-org eval suites, feedback-driven improvement over time
ThoughtSpot Spotter: Partly. Feedback loops for definitions, not eval suites Source

06 / 10

Who owns and maintains the business logic?

Business context lives in a repository you own

Dot: Yes. Two-way sync with your GitHub or GitLab
ThoughtSpot Spotter: Partly. TML semantics fit customer Git workflows Source

Context and apps use Git and pull requests

Dot: Yes. Every publish is versioned through Git and PRs
ThoughtSpot Spotter: Partly. SpotterModel reviews models only, not cross-tool docs Source

07 / 10

Which outputs can it produce?

Multi-step investigations, not just lookups

Dot: Yes. Runs parallel analysis and shows the plan
ThoughtSpot Spotter: Partly. Plans per question; no multi-step investigation mode Source

Scheduled reports

Dot: Yes. Scheduled PowerPoint and PDF business reviews
ThoughtSpot Spotter: Partly. Scheduled Liveboard delivery, no narrative reviews Source

Exports decks and PDFs

Dot: Yes. Automated Reports ship as PowerPoint or PDF
ThoughtSpot Spotter: Partly. Liveboard export exists; no dedicated deck-builder Source

White labeling and embedded analytics

Dot: Partly. Dashboard embedding; limited white-label controls
ThoughtSpot Spotter: Yes. White-label embedded analytics product line Source

Notebook or IDE for analysts

Dot: No. No notebook/IDE; runs Python internally only
ThoughtSpot Spotter: Yes. Analyst Studio: Python/R notebooks, SQL, 70+ formulas Source

08 / 10

Which governance and security controls are included?

Self-hosting available

Dot: Partly. Self-hosted option available at Enterprise tier
ThoughtSpot Spotter: Yes. ThoughtSpot Software runs in customer datacenters Source

09 / 10

What is the product built to become?

Purpose-built as a full AI analytics platform

Dot: Yes. Purpose-built for AI analytics across the full workflow
ThoughtSpot Spotter: Partly. A search-driven BI platform transforming around AI agents

10 / 10

How do pricing and cost controls work?

Public, predictable pricing

Dot: Yes. Full public pricing incl. flat-rate Team tier
ThoughtSpot Spotter: Partly. Enterprise tier (most deals) is custom-quoted Source

Hard usage limits, spend visibility, and ROI

Dot: Yes. Set usage limits; track spend and ROI
ThoughtSpot Spotter: Partly. Seat or contract limits; ROI tracked separately Source

Across all 43 capabilities

Dot36 supported2 partial5 not available

ThoughtSpot Spotter29 supported11 partial3 not available

Category	Decision point	Dot	ThoughtSpot Spotter
02 / 10Where can users receive answers?	Native Microsoft Teams app	Yes. Native Teams app, same as Slack	Partly. Alerts/Liveboard pushes only; no conversational Q&A Source
	Answers and reports by email	Yes. Email is a full ask-and-answer surface	Partly. Scheduled delivery only, not conversational Q&A Source
	Native mobile apps	No. No native app; web works in mobile browser	Yes. Native iOS and Android apps Source
05 / 10How do you know the data is correct?	Regression tests for important questions	Yes. Per-org eval suites, feedback-driven improvement over time	Partly. Feedback loops for definitions, not eval suites Source
06 / 10Who owns and maintains the business logic?	Business context lives in a repository you own	Yes. Two-way sync with your GitHub or GitLab	Partly. TML semantics fit customer Git workflows Source
06 / 10Who owns and maintains the business logic?	Context and apps use Git and pull requests	Yes. Every publish is versioned through Git and PRs	Partly. SpotterModel reviews models only, not cross-tool docs Source
07 / 10Which outputs can it produce?	Multi-step investigations, not just lookups	Yes. Runs parallel analysis and shows the plan	Partly. Plans per question; no multi-step investigation mode Source
	Scheduled reports	Yes. Scheduled PowerPoint and PDF business reviews	Partly. Scheduled Liveboard delivery, no narrative reviews Source
	Exports decks and PDFs	Yes. Automated Reports ship as PowerPoint or PDF	Partly. Liveboard export exists; no dedicated deck-builder Source
	White labeling and embedded analytics	Partly. Dashboard embedding; limited white-label controls	Yes. White-label embedded analytics product line Source
	Notebook or IDE for analysts	No. No notebook/IDE; runs Python internally only	Yes. Analyst Studio: Python/R notebooks, SQL, 70+ formulas Source
08 / 10Which governance and security controls are included?	Self-hosting available	Partly. Self-hosted option available at Enterprise tier	Yes. ThoughtSpot Software runs in customer datacenters Source
09 / 10What is the product built to become?	Purpose-built as a full AI analytics platform	Yes. Purpose-built for AI analytics across the full workflow	Partly. A search-driven BI platform transforming around AI agents
10 / 10How do pricing and cost controls work?	Public, predictable pricing	Yes. Full public pricing incl. flat-rate Team tier	Partly. Enterprise tier (most deals) is custom-quoted Source
10 / 10How do pricing and cost controls work?	Hard usage limits, spend visibility, and ROI	Yes. Set usage limits; track spend and ROI	Partly. Seat or contract limits; ROI tracked separately Source
Across all 43 capabilities		Dot36 supported2 partial5 not available	ThoughtSpot Spotter29 supported11 partial3 not available

Conclusion

Choose for the analytics stack you want to end up with

The decision is not only which tool answers questions today. It is which product can become your analytics platform over time.

Choose ThoughtSpot for mature embedded analytics and analyst tooling

Analyst Studio combines Python, R, SQL, and spreadsheet formulas.
Named a Leader in Gartner's 2026 analytics quadrant.
Liveboards include over 25 chart types and an embedding SDK.

Watch out

Search requires upfront modeling. Reviewers say natural-language search still depends on curated worksheets, definitions, and business logic maintained by the data team. ^[1][2]
Usage costs are hard to forecast. Users cite high prices and credit-based usage as obstacles to predicting feature costs or expanding dashboard access. ^[1][2][3]

Pricing

Essentials costs $25 per user monthly without Spotter.
Pro costs $50 per user monthly with 25 Spotter queries.
Third-party trackers report enterprise contracts from $100,000 annually.

Source

Choose Dot for best-of-breed AI analytics that can replace BI

Connect Dot to the data sources and semantic models you already have, then start with one agent. Context, apps, and business logic stay version-controlled in a repository you own, so they never become a Dot-only asset. Add dashboards, reporting, and governed workflows as adoption grows, then retire BI software you no longer need.

Watch out

Dot is growing quickly. Its smaller team may not offer the same level of hands-on support as a larger vendor in every region.

Pricing

Free plan, no credit card
Pro at $200/month, or $180/month billed annually. Unlimited users.
Team at $800/month, or $720/month billed annually. Adds single sign-on and row-level security.
Enterprise is custom: self-hosting, SLAs, and volume terms

Full pricing

Why the pricing model matters

Frontier AI has variable inference cost. A vendor that relies only on seat pricing must eventually meter AI, absorb the cost, or limit capability. Dot makes usage visible, lets teams set limits, and tracks the return on that spend.

Receipts

Benchmarked against human analysts, and measured in production

DABStep is Adyen’s public data-analysis benchmark. Dot scored above trained human analysts. It is independently published and available to inspect. In production, customers report these outcomes.

18× ROI

Choco, from time saved on analytics

12,000+ hours

saved every year at Duolingo, across 5,000+ tables

99% faster

time-to-insight at Emerge

€800K found

in a single investigation at KRY

Every Dot answer shows its work. Click any number to inspect the query.