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ThoughtSpot

by ThoughtSpot · Embedded BI

Search and AI-driven self-service analytics over governed ERP data.

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Works with
NetSuite, SAP
Deployment
Cloud
Company size
Mid-market, Enterprise
Pricing
Quote-based
Founded
2012
Headquarters
Mountain View, California, United States

Overview

ThoughtSpot is a search- and AI-driven analytics platform that lets business users ask questions of data in natural language and get governed, interactive answers without building reports manually. Founded in 2012 by former Google, Oracle, and Microsoft engineers and headquartered in Mountain View, California, the company pioneered search-based BI and has since shifted toward an agentic, AI-first analytics experience.

The platform centers on natural-language search and its Spotter AI analyst, which answers questions, builds visualizations, and surfaces follow-ups grounded in a semantic model. SpotIQ provides automated, AI-driven insight detection across large datasets, and Liveboards are interactive dashboards that stay connected to live data. ThoughtSpot can query cloud data warehouses directly and is designed to scale across very large datasets.

ThoughtSpot is offered both as a standalone analytics experience and as ThoughtSpot Embedded, with SDKs and APIs for embedding search and AI analytics into applications and customer-facing products. Recent releases emphasize agentic analytics, including Spotter agents and an MCP server for AI-driven workflows.

Screenshots & demo

Demo video from the vendor's YouTube channel. Screenshots sourced from ThoughtSpot.

Features & capabilities

Search & Natural-Language Analytics

Ask questions in plain language.

  • Natural-language search over governed data
  • Spotter AI analyst for conversational analytics
  • Relational search across complex joins and schemas
  • Auto-generated visualizations from questions
  • Follow-up and drill-anywhere exploration

Augmented Analytics (SpotIQ)

Automated insight detection.

  • SpotIQ AI-driven insight generation
  • Automated anomaly, trend, and outlier detection
  • Key-driver and contribution analysis
  • Insights surfaced across the platform
  • Analysis across billions of rows

Liveboards & Visualization

Live, interactive dashboards.

  • Liveboards connected to live datasets
  • Interactive drill and filter without predefined paths
  • Real-time data refresh
  • Pinning search answers to Liveboards
  • Scheduled delivery and alerts

Embedded Analytics

Embed search/AI into apps.

  • ThoughtSpot Embedded with Visual Embed SDK
  • REST APIs for integration and automation
  • Embed search, Liveboards, and Spotter
  • Row-level security for multi-tenant embedding
  • Custom styling and white-labeling

Cloud Data & Modeling

Warehouse-native architecture.

  • Direct query against cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift)
  • Semantic model / worksheets for governed definitions
  • In-database querying for scale and freshness
  • Connections to databases and ERP-backed warehouses

Agentic & Automation

AI agents and workflows.

  • Spotter agents for autonomous insights and actions
  • Agentic MCP server for AI workflows
  • Industry-tuned AI agents
  • Actions and workflow automation from insights

Common use cases

  • Business users self-serving answers from warehoused ERP data via search
  • Automated insight discovery across large operational datasets
  • Live operational dashboards (Liveboards) on cloud warehouses
  • Embedding natural-language analytics into SaaS and customer apps
  • Conversational, agentic analytics with the Spotter AI analyst
  • Anomaly and key-driver analysis for finance and operations
  • Scaling self-service analytics across thousands of users

Strengths & considerations

Strengths

  • Search-first, natural-language analytics as the primary interaction model
  • Warehouse-native, in-database architecture for scale and freshness
  • SpotIQ automated insight detection across billions of rows
  • Strong agentic/AI-first direction with Spotter agents

Considerations

  • Best results depend on a well-modeled semantic layer and a performant warehouse
  • Pricing is quote-based

ERP integrations

REST APIERP → product

Via a cloud data warehouse loaded from NetSuite

FileERP → product

Via a cloud data warehouse populated from SAP

Pricing

Model
Quote-based
Free trial
Yes

Subscription pricing quoted by sales (consumption/usage-based options exist). Cost is driven by data/usage volume, users, and whether embedded analytics is included. A free trial is available. Get an independent shortlist with pricing guidance below.

Technical & security

Hosting
SaaS (cloud); ThoughtSpot Cloud
Data residency
US, EU
Compliance
SOC 2, ISO 27001, HIPAA, GDPR
Mobile app
Yes
Languages
English, and others

About the vendor

Founded
2012
Headquarters
Mountain View, California, United States
Employees
~1,000
Ownership
Private (venture-backed)

Alternatives to ThoughtSpot in Embedded BI

ThoughtSpot — frequently asked questions

What is ThoughtSpot's main interaction model?

Natural-language search. Users type questions and the platform (now via the Spotter AI analyst) returns governed visualizations and answers without manual report building.

Does ThoughtSpot store data or query the warehouse?

ThoughtSpot can query cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift) directly via in-database execution, in addition to other modes.

Can ThoughtSpot be embedded into applications?

Yes. ThoughtSpot Embedded provides the Visual Embed SDK and REST APIs to embed search, Liveboards, and Spotter, with row-level security for multi-tenancy.

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