What is ThoughtSpot?
ThoughtSpot is a business analytics platform where users ask questions of their data in natural language and get dashboards, summaries and answers through Spotter AI agents. It connects live to data warehouses such as Snowflake and Databricks and has iOS and Android mobile apps, per its pricing page.
Who it's for
It suits teams that want search-style analytics on data kept in a warehouse, from small groups on Essentials (5 to 50 users) to larger organizations on Pro or Enterprise. A separate Embedded line, with a Developer plan, is aimed at teams that add analytics to their own applications.
Pros & cons
Strengths
- The pricing page lists, for all tiers, AI agents for analytics, AI highlights and summaries, natural language search, AI-suggested questions, iOS and Android apps and row-level security.
- ThoughtSpot says it does not meter or charge for LLM tokens; platform use is governed by the subscription, such as queries or users. If you connect your own LLM provider, that provider's fees may apply.
- The pricing page lists live connections to data warehouses such as Snowflake and Databricks.
- Pro is listed for up to 1,000 users and up to 250M rows; Enterprise is listed with unlimited users and data.
- Enterprise adds a 1-hour support SLA, advanced data encryption, VPN and VPC support and a custom company URL, per the pricing page.
- Add-ons listed for lower tiers include Analyst Studio (data prep, mashups, modeling, SQL, R and Python analysis, in-memory cache) and an Unlimited Spotter add-on whose price is not shown.
Limitations
- Essentials is listed for 5 to 50 users and up to 25M rows, and Pro for up to 1,000 users and up to 250M rows. The German pricing page shows Pro as 25 to 1,000 users, so the minimum is unclear.
- Pro per-user includes Spotter AI agents limited to 25 queries a month per user. The pricing page shows an Unlimited Spotter add-on with no price.
- Usage-based Pro is described as $0.10 per credit on the English pricing page but as $0.10 per query on the German page. The docs say credits are consumed by searches, viewing or editing Liveboards and Answers, modeling, admin changes, Spotter use and Analyst Studio, but they give no credit allowances or price.
- Per-user prices are billed annually. Enterprise is custom-priced through sales, and the pricing page has no refund or cancellation terms.
- The pricing page gives no free trial length, and the Developer plan is listed both as free for 1 year and simply as free. The Spotter security and data-handling docs pages could not be read in full, so training and retention terms were not confirmed.
Plans and pricing
- Free trial: $0. A Try for free option is shown for Essentials and Pro. No length is stated on the pricing page.
- Essentials: From $25 per user a month, billed annually. 5 to 50 users, up to 25M rows. Interactive dashboards and actionable insights.
- Pro (per user): From $50 per user a month, billed annually. Up to 1,000 users, up to 250M rows. AI dashboards, natural language search and Spotter AI agents limited to 25 queries a month per user.
- Pro (usage-based): From $0.10 per credit. Up to 1,000 users, up to 250M rows. Spotter AI agents with no LLM token charge. The German page says per query instead of per credit.
- Enterprise: Custom pricing. Unlimited users and data, Spotter and Analyst Studio. Contact sales.
- Developer (Embedded): Free. For embedding analytics in your own apps: up to 10 users, up to 25M rows, API and SDK. Listed as free for 1 year in one place and free in another.
Prices were read from the official English pricing page and its German version, plus the consumption-pricing docs page. The page layout made some price-to-toggle mappings unclear, and the per-credit vs per-query wording conflicts between languages. Confirm on the live pricing page.
Details checked October 2026 against the vendor's own pages. Prices and limits change, so confirm before you buy. Official pricing page ↗
Sources
This profile was compiled from these public pages. We have not run hands-on tests.
ThoughtSpot — at a glance
ThoughtSpot is a business analytics platform where users ask questions of their data in natural language and get dashboards, summaries and answers through Spotter AI agents. It connects live to data warehouses such as Snowflake and Databricks and has iOS and Android mobile apps, per its pricing page.
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