:crystal_ball:

ThoughtSpot

Name: ThoughtSpot
Price: Contact for Pricing USD
Author: ThoughtSpot Inc.

Backed By ThoughtSpot Inc.

AI-powered analytics and predictive insights platform with natural language search.

Data & Analytics

Overview

ThoughtSpot is a modern analytics platform that enables users to search and analyze data using natural language queries. It offers AI-driven predictive analytics, automated insights, and interactive dashboards. ThoughtSpot integrates with cloud data warehouses and BI tools, making predictive analytics accessible to business users and data teams alike.

Use Cases

AI-driven automated insights

Predictive analytics for business users

Search data using natural language

Interactive dashboards

Connect to cloud data warehouses

Embed analytics in BI tools

Top Integrations

🌐

API

Product Info

Deployment Method

API-basedSaaS

Model Type

Closed Source

Support

Pricing

ThoughtSpot Analytics

Not specified (Inquire for quote)

Search & AI-driven insights on company data

ThoughtSpot Embedded (Everywhere)

Not specified (Inquire for quote)

Design and embed AI-powered analytics experiences

Alternates Research On The Product

Top Features

⚡

AI Agents (e.g., Spotter for autonomous analysis)

🚀

Natural Language Search & AI-driven insights

💻

Interactive dashboards (Liveboards)

🤖

Instant, interactive, and actionable insights

🔄

Connect to cloud data platforms for live-querying

Strengths

Weaknesses

While it adheres to DPF, the responsibility for data security and accuracy is a shared model (leveraging the CDW's security but requiring good data modeling within ThoughtSpot).
API retry mechanism is not automatic, which may require custom error handling in client applications.
Users report issues with complex joining scenarios (joining more than two views).
No specified SLA or response time commitments publicly available.
Pricing model is complex and likely enterprise-focused (inquire for quote), which can pose financial risks for mid-market buyers.

Reviews From The Web

Real user experiences from across different platforms

@sagilaufer - Just to clarify , we are talking about ? npm Api sdk for thoughtspot's public v2 rest api. Latest version: 2.11.1, last published: 20 days ago. Start using @thoughtspot/rest-api-sdk in your project by running `npm i @thoughtspot/rest-api-sdk`. There are no other projects in the npm registry using @thoughtspot/rest-api-sdk.

utsav.kapoor

10mo ago

Answer Overflow (ThoughtSpot For Developers Discord)

Recommendations

Organizations that want to democratize data and enable non-technical business users to query data directly using natural language

able non-technical business users to query data directly using natural language.

Companies with modern cloud data stacks (Snowflake, Databricks, etc

, Databricks, etc.) that prioritize live-querying and no data movement.

Companies seeking the absolute lowest-cost BI solution (as it's an enterprise-grade platform, typically more complex than basic tools like Excel)

tion (as it's an enterprise-grade platform, typically more complex than basic tools like Excel).

Users expecting built-in retry logic in the REST API SDK

PI SDK.

Final Verdict

Democratizing data analytics across the entire organization by providing a consumer-grade, AI-powered search experience for instant, governed insights on live cloud data.

Best For

•Organizations that want to democratize data and enable non-technical business users to query data directly using natural language.
•Companies with modern cloud data stacks (Snowflake, Databricks, etc.) that prioritize live-querying and no data movement.
•Product builders who need to seamlessly embed AI-powered analytics into their applications (Embedded Analytics).

Watch Out For

•If strict reliance on a legacy on-premise data stack is required without cloud modernization.
•While it adheres to DPF, the responsibility for data security and accuracy is a shared model (leveraging the CDW's security but requiring good data modeling within ThoughtSpot).
•API retry mechanism is not automatic, which may require custom error handling in client applications.
•Users report issues with complex joining scenarios (joining more than two views).

No automatic retry mechanism in the REST API SDK for temporary failures (user-reported) Potential for issues when joining more than two views (user-reported community issue)

:crystal_ball:

ThoughtSpot

Backed By ThoughtSpot Inc.

AI-powered analytics and predictive insights platform with natural language search.

Data & Analytics

Overview

Use Cases

AI-driven automated insights

Predictive analytics for business users

Search data using natural language

Interactive dashboards

Connect to cloud data warehouses

Embed analytics in BI tools

Top Integrations

🌐

API

Product Info

Deployment Method

API-basedSaaS

Model Type

Closed Source

Support

Pricing

ThoughtSpot Analytics

Not specified (Inquire for quote)

Search & AI-driven insights on company data

ThoughtSpot Embedded (Everywhere)

Not specified (Inquire for quote)

Design and embed AI-powered analytics experiences

Alternates Research On The Product

Top Features

⚡

AI Agents (e.g., Spotter for autonomous analysis)

🚀

Natural Language Search & AI-driven insights

💻

Interactive dashboards (Liveboards)

🤖

Instant, interactive, and actionable insights

🔄

Connect to cloud data platforms for live-querying

Strengths

Weaknesses

While it adheres to DPF, the responsibility for data security and accuracy is a shared model (leveraging the CDW's security but requiring good data modeling within ThoughtSpot).
API retry mechanism is not automatic, which may require custom error handling in client applications.
Users report issues with complex joining scenarios (joining more than two views).
No specified SLA or response time commitments publicly available.
Pricing model is complex and likely enterprise-focused (inquire for quote), which can pose financial risks for mid-market buyers.

Reviews From The Web

Real user experiences from across different platforms

utsav.kapoor

10mo ago

Answer Overflow (ThoughtSpot For Developers Discord)

Recommendations

Organizations that want to democratize data and enable non-technical business users to query data directly using natural language

able non-technical business users to query data directly using natural language.

Companies with modern cloud data stacks (Snowflake, Databricks, etc

, Databricks, etc.) that prioritize live-querying and no data movement.

Companies seeking the absolute lowest-cost BI solution (as it's an enterprise-grade platform, typically more complex than basic tools like Excel)

tion (as it's an enterprise-grade platform, typically more complex than basic tools like Excel).

Users expecting built-in retry logic in the REST API SDK

PI SDK.

Final Verdict

Democratizing data analytics across the entire organization by providing a consumer-grade, AI-powered search experience for instant, governed insights on live cloud data.

Best For

•Organizations that want to democratize data and enable non-technical business users to query data directly using natural language.
•Companies with modern cloud data stacks (Snowflake, Databricks, etc.) that prioritize live-querying and no data movement.
•Product builders who need to seamlessly embed AI-powered analytics into their applications (Embedded Analytics).

Watch Out For

•If strict reliance on a legacy on-premise data stack is required without cloud modernization.
•While it adheres to DPF, the responsibility for data security and accuracy is a shared model (leveraging the CDW's security but requiring good data modeling within ThoughtSpot).
•API retry mechanism is not automatic, which may require custom error handling in client applications.
•Users report issues with complex joining scenarios (joining more than two views).

No automatic retry mechanism in the REST API SDK for temporary failures (user-reported) Potential for issues when joining more than two views (user-reported community issue)

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