Sold by: ThoughtSpot
Deployed on AWS
Get insights 10x faster from your modern data stack.
4.4
Overview
ThoughtSpot is the AI-Powered Analytics company. With natural language and AI, ThoughtSpot empowers everyone in an organization to ask data questions, get answers, and take action.
Give your cloud data platform a modern consumer front-end and deliver safe, reliable self-service analytics to all users. ThoughtSpot is compatible with Amazon Redshift, Snowflake, Databricks, Google BigQuery, Azure Synapse and more.
For custom pricing, EULA, or a private contract, please contact cloud-marketplace-orders@thoughtspot.com for a private offer.
Highlights
- Connect to your cloud data platform in minutes and flexibly model data for search using dbt, LookML, SQL, or a UI editor.
- Search the answer to any business question, drill anywhere into your data, then instantly create personalized, interactive Liveboards.
- Embed search and AI with just a few lines of code to bring engaging analytics experiences into any app, portal, or product.
Details
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Team Edition | $95/mo. Up to 5m rows of data. 5 users. Community Support | $95.00 |
Pro | $2,500/mo. 500m rows of data. Unlimited users. Annual Contract | $2,500.00 |
Enterprise | Starting at $5,000/mo. Unlimited users and data. Annual contract | $5,000.00 |
Essentials | $15,000/year. 20 users. Up to 50m rows of data. Annual contract | $1,250.00 |
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By ThoughtSpot
By Omni Analytics
Top
10
In Analytics, Data Warehouses
Top
10
In Analytic Platforms, Data Analytics, Business Intelligence & Advanced Analytics
Top
25
In Data Governance, Business Intelligence & Advanced Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Natural Language Query Interface
Search and query data using natural language processing to ask business questions and receive answers without requiring SQL expertise.
Multi-Platform Data Connectivity
Compatible with major cloud data platforms including Amazon Redshift, Snowflake, Databricks, Google BigQuery, and Azure Synapse.
Flexible Data Modeling
Support for multiple data modeling approaches including dbt, LookML, SQL, and a UI-based editor for defining data structures.
Interactive Dashboard Creation
Ability to create personalized, interactive Liveboards with drill-down capabilities for exploring data at multiple levels of detail.
Embedded Analytics SDK
API-based embedding capability allowing integration of search and analytics functionality into applications, portals, and products with minimal code implementation.
API-First Architecture
Platform designed with API-first approach enabling seamless integration of analytics capabilities within applications
Embedded Analytics Capability
Support for embedding analytics directly within applications to provide in-context insights
AI-Powered Analytics Engine
Artificial intelligence-driven analytics functionality for generating insights and decision intelligence
Custom Data Integration
Ability to integrate analytics across diverse data sources within business applications
Decision Intelligence
Analytics platform designed to enhance decision-making through action-oriented insights
Semantic Layer Architecture
Built-in semantic model that provides governed metrics and ensures consistency across analytics queries and AI-generated answers
Conversational AI Analytics
Natural language processing capability enabling users to ask AI questions and receive trusted answers without requiring SQL knowledge
Version Control and Git Integration
Git integration with branching, content validation, and version history features for managing changes to semantic models and analytics content
Embedded Self-Service Analytics
Self-service analytics capabilities including conversational AI, spreadsheet workflows, and customizable user interfaces with CSS and markdown support
Governance and Access Control
Governed data access mechanisms that maintain consistency and trustworthiness while enabling widespread self-service exploration and AI querying
Standard contract
No
Customer reviews
Arun K.
Love the Prompt-Based Visualization
Reviewed on Jun 04, 2026
Review provided by G2
What do you like best about the product?
Visualization using prompts, with quick responses.
What do you dislike about the product?
Aggregation options can be more easier to use
What problems is the product solving and how is that benefiting you?
Generating external reports for clients
Murugan M.
ThoughtSpot is one of the best tools on the market
Reviewed on Jun 02, 2026
Review provided by G2
What do you like best about the product?
Bridg iDR data is inherently complex because it stitches together SKU-level transaction history, offline behaviors, and enriched demographic data fields. ThoughtSpot allows business leaders, marketers, and regional managers to simply type questions like "Show me the top 5 lifestyle attributes of customers buying item X who aren't on our loyalty program" without waiting on a data engineering queue
What do you dislike about the product?
ThoughtSpot queries data directly where it lives (typically high-performance cloud data warehouses like Snowflake, BigQuery, or AWS). Because Bridg uncovers massive volumes of non-loyalty transaction data, heavy ad-hoc querying from business users can quickly scale up cloud compute costs if query optimization and caching parameters aren't managed tightly.
What problems is the product solving and how is that benefiting you?
Instead of creating 50 separate static dashboards to track different customer segments or campaign attribution models, teams can use ThoughtSpot’s dynamic "Liveboards" to endlessly drill down into specific audience traits or SKU performance on the fly
David S.
Empowers Analysts with Intuitive Data Interaction
Reviewed on Jun 02, 2026
Review provided by G2
What do you like best about the product?
I love the entire talk to your data concept in ThoughtSpot, as it just makes it easier when the AI knows what our data means. I also appreciate the semantic views, and the initial setup was easy.
What do you dislike about the product?
None
What problems is the product solving and how is that benefiting you?
ThoughtSpot enhances visibility into customer deductions and simplifies accounts receivable reporting.
Financial Services
Simplifies Reporting, But Limited Without Native SQL for Ad-Hoc Analysis
Reviewed on May 24, 2026
Review provided by G2
What do you like best about the product?
I think if implemented well, ThoughtSpot brings about a simplicity in producing reports that previous "self-service" oriented tools weren't able to provide.
What do you dislike about the product?
That you can't create a report through native SQL or similar language. Much of the functionality is dependent on a good understanding of dimensional modeling of the data without the possibility of doing ad-hoc reporting.
What problems is the product solving and how is that benefiting you?
ThoughtSpot solves the visualisation layer of our data stack. We chose it for it's of use - though that's dependent on the quality of the setup - and it's enterprise grade level of integration within our our portals and platforms.
Marketing and Advertising
Spotter Is a Huge Time Saver for Charts, Tiles, and API Integrations
Reviewed on May 15, 2026
Review provided by G2
What do you like best about the product?
I think the Spotter tool is really cool at interpreting prompts and producing answers/liveboard tiles that match well with what I wanted. Huge time saver when making charts and tables. I also use the SpotterCode MCP regularly to understand and make API calls as we build out our integration - its awesome!
What do you dislike about the product?
Not much! At first I found it a little difficult to generate charts & tiles manually, but it was just a different paradigm than I'm used to. I know we had one recent workaround when it comes to displaying a duration column, but with formulas we were able to make things work.
What problems is the product solving and how is that benefiting you?
Thoughtspot has been able to provide the same level of reporting functionality so far as our home-built Reporting we're placing, plus more