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ThoughtSpot Inc.
Type Private
Industry Data Science
Headquarters Palo Alto, CA
Key people Ajeet Singh,Shashank Gupta
Vijay Ganesan, Sanjay Agrawal
Abhishek Rai, Priyendra Deshwal
Amit Prakash
Investors Khosla Ventures
Lightspeed Venture Partners
RRE Ventures
KEC Ventures
Y Combinator
Products Thoughtspot
Number of employees 120 [1]
Related Certifications Certificate in Data Science Industry Overview

ThoughtSpot is a company that makes an Analytical Search Appliance to combine data from on-premise, cloud and desktop data sources and enables enterprise users to access them through a simple search interface. [2] The company offers a hardware appliance that comes loaded with software that can connect to a company’s existing data infrastructure — as well as services like Hadoop — from which it can provide users with search capabilities that will supposedly save the time it takes for employees to gather the data they want. [3]
ThoughtSpot customers include Bed, Bath and Beyond, Batteries + Bulbs, and Nutanix. Companies use ThoughtSpot technology to primarily get business insights faster than traditional SQL based queries. Thoughtspot was founded by Ajeet Singh, who previously co-founded Nutanix, Amit Prakash, and five others. Aaron Levie, co-founder and CEO of Box Inc. was one of the early investors of ThoughtSpot. By May 2016, ThoughtSpot had raised $40 million from Lightspeed Venture Partners and Khosla Ventures. Most of ThoughtSpot’s technology were developed by former Google and Yahoo engineers. [4][5]


June 1, 2012 Thoughtspot was founded in Palo Alto, CA
February 5, 2014 ThoughtSpot Raises $10.7M in Series A Funding.
June 18, 2014 ThoughtSpot Grabs $30M In Series B Funding.
October 21, 2014 ThoughtSpot’s makes it's data analytics hardware available to the public.
February 2016 ThoughtSpot Announces Record 810 Percent Year-Over-Year Growth

Product Features

Schematic Aware

Thoughtspot architecture automatically understands a database schema and underlying relationships in order to convert searches into computations

Real-time Joins

Connects data from multiple sources on-the-fly to compute answers in real-time.

Zero Cubing

The architecture does not use traditional methodologies of building cubes, aggregate tables, indexes, or materialized views.

Featured Videos and Tweets


April 18, 2023thoughtspotA special thanks to our sponsoring partners @googlecloud, @SnowflakeDB, @interworks, @BlueCloudInc20, @workstreamhq…
April 18, 2023thoughtspotWe are so grateful for all our partners who support our customers and co-innovate with us. Join us May 9-10 for…
April 18, 2023thoughtspotWe’re not just another BI Platform. See why ThoughtSpot was named as a Visionary in the Gartner Magic Quadrant™ fo…
April 18, 2023trnraoZS is a gold sponsor at ThoughtSpot Beyond 2023
April 18, 2023mim_djoif you like star schema, you will appreciate #thoughtspot TML

Top 5 Recent News Headlines

Date Title Link
4 May 2016 Is Ajeet Singh's ThoughtSpot The Next Google For Numbers?
8 Dec 2015 Introducing ThoughtSpot 3: The World’s First Product to Harness Collective Intelligence for Search-Driven Analytics
19 Nov 2015 Mike Rowe to Address Community Pharmacists at ThoughtSpot 2015
30 Mar 2015 ThoughtSpot to Exhibit at Gartner Business Intelligence and Analytics Summit 2015 and Host Gala Reception
21 Oct 2014 ThoughtSpot Wants to be the Tesla of BI
31 Oct 2014 Why Vinod Khosla Invested in ThoughtSpot

Top 5 Lifetime News Headlines

1.ThoughtSpot Grabs $30M In Series B Funding To Modernize Business Intelligence Jun 18, 2014 ThoughtSpot, a startup that hopes to modernize the way companies do business intelligence, announced $30 million in Series B funding led by Khosla Ventures with help from existing investor Lightspeed Venture Partners. The funding brings its total to $40.7 million to date. As part of the deal, Keith Rabois, who is a partner at Khosla Ventures, will join the ThoughtSpot board of directors.The product uses a consumer-like search front end to help find data.

2.ThoughtSpot Eliminates the Need for BI Tools, Introduces Relational Search for Enterprise-Scale Data Analysis Oct 21, 2014 It has brought to market ThoughtSpot Relational Search Appliance -- a first-of-its-kind self-service data analysis solution built for enterprise scale. The appliance combines the custom-built ThoughtSpot Relational Search Engine with ThoughtSpot In-Memory Relational Data Cache to create a solution that eliminates the current trade-off between end-user simplicity and IT departments' needs for scale, security and manageability. ThoughtSpot Relational Search Appliance --The ThoughtSpot appliance is an enterprise-grade solution that combines data from on-premise and cloud data sources and enables enterprise users to access them in a simple-to-use yet secure manner. This is made possible by the following technologies that were custom-built by ThoughtSpot: Browser-based Consumer-class Interface - intuitive, search-based interface that can be used by enterprise workers without the assistance of IT or data analysts. --ThoughtSpot Relational Search Engine - a first-of-its-kind search engine that understands relationships across disparate enterprise data sources and returns instant results from billions of rows of data. --ThoughtSpot In-Memory Relational Data Cache - custom-built relational engine that can cache data from data warehouses, cloud applications, spreadsheets and Hadoop clusters and run in-memory computations on large data volumes. The data cache follows a distributed computing model and can grow incrementally as data volumes grow. --ThoughtSpot Cluster Management - custom-built cluster management framework that provides enterprise-class fault tolerance, manageability and monitoring capabilities to the ThoughtSpot appliance.

Leading analysts and customers see a critical need in the market--"Data discovery capabilities are dominating new purchasing requirements, even for larger deployments, as alternatives to traditional BI tools"




Verification history