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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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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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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 Sisense
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
In-context analytics integration within applications to deliver action-oriented insights
AI-Powered Analytics
AI-driven analytics capabilities for generating insights and enhancing decision intelligence
Custom Data Integration
Seamless integration of analytics across business systems and data sources
Insight Generation Engine
Analytics engine designed to produce actionable insights for decision-making
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
pulkit t.
Effortless Dashboard Creation with ThoughtSpot's NLP Magic
Reviewed on May 04, 2026
Review provided by G2
What do you like best about the product?
I like the ease of use and the Spotter feature in ThoughtSpot. Spotter helps me use NLP to get an answer to my questions, which is really helpful. The ease of use also comes from how easy it is to configure new graphs. Additionally, the initial setup of ThoughtSpot was quite easy, thanks to the help from Amit and Philipp.
What do you dislike about the product?
drilling down on a time frame level without doing many clicks
What problems is the product solving and how is that benefiting you?
I use ThoughtSpot for creating business dashboards, monitoring patterns, getting quick views, and drilling into errors. The ease of use and NLP-based spotter feature make it intuitive to configure graphs and find answers to my questions.
Hospital & Health Care
Spotter and Spotter IQ Deliver Powerful AI Insights
Reviewed on Apr 29, 2026
Review provided by G2
What do you like best about the product?
AI / Intelligence with Spotter and Spotter IQ
What do you dislike about the product?
Liveboards/Answers aren’t as customizable as other BI tools. I’d really like to see more flexibility in creating visualizations in the future, especially when it comes to tailoring them to specific needs.
What problems is the product solving and how is that benefiting you?
The biggest problem Thoughtspot is solving for us is enabling self-service analytics through its Spotter capability. It helps our users run their own ad hoc analyses and ask questions on their own, which is especially valuable for people who aren’t very technically savvy.
Health, Wellness and Fitness
Intuitive Natural Language Analytics That Speeds Insights and Integrates Smoothly with Snowflake
Reviewed on Apr 29, 2026
Review provided by G2
What do you like best about the product?
What I like best about ThoughtSpot is how intuitive it makes data exploration. The natural language search allows both technical and non-technical users to quickly get insights without needing to write complex queries. It really shortens the time from question to answer, which is valuable in fast-paced environments. This is especially important to my organization, as we need quick, on the spot insights to help us drive strategy. Overall, the integration with Snowflake was straightforward and allowed us to streamline our backend data. Additionally, the continuous improvement efforts of ThoughtSpot to evolve the platform are top of the line - they have an extensive runway of enhancements to better shape the product and respond to customer needs.
What do you dislike about the product?
One area for improvement in ThoughtSpot is its formatting and reporting flexibility. While the platform is very strong for ad hoc analysis and search-driven insights, it can feel somewhat limited when trying to create highly customized, presentation-ready reports compared to more traditional BI tools. Additionally, in being cloud based, it can be challenging to bring in data (e.g., text files, etc.) outside of cloud based tools. In our organization, we often receive data from vendors that are flat files and having the abiliyt to easily bring those in would be an added benefit.
What problems is the product solving and how is that benefiting you?
ThoughtSpot helps solve the challenge of quickly accessing and analyzing HEDIS performance data. It allows us to dig deeper into the data and uncover insights in a much faster, more seamless way. It also provides a self-service capability for end users, which reduces ad hoc requests and frees up analysts’ time. Without it, analysts would spend hours manually querying and analyzing datasets, slowing down decision-making. With ThoughtSpot, we’re able to get to actionable insights much more efficiently.
Recreational Facilities and Services
Easy to Use Without Being Technical, But the Cost Feels High
Reviewed on Apr 21, 2026
Review provided by G2
What do you like best about the product?
you do not need tons of experience , you dont have to be so technical
What do you dislike about the product?
the cost is too high for us at this time
What problems is the product solving and how is that benefiting you?
not sure yet we are just dablling
Airlines/Aviation
Fast, User-Friendly Insights for Fraud Detection with ThoughtSpot
Reviewed on Apr 07, 2026
Review provided by G2
What do you like best about the product?
As a fraud analyst, what I like most about ThoughtSpot is how quickly it lets me explore large datasets, spot unusual patterns, and turn what I find into actionable insights in real time. I can do all of this without needing deep technical skills, which helps me respond to suspicious activity faster and more effectively.
What do you dislike about the product?
For a fraud analyst, the main downside of ThoughtSpot is that, although it’s great for getting quick insights, it can still require fairly complex data preparation. It may also become costly at scale, and it isn’t the best fit for very advanced predictive fraud modeling.
What problems is the product solving and how is that benefiting you?
ThoughtSpot addresses the challenge of slow, complex data analysis by enabling instant, self-service insights from large datasets. This helps me spot fraud patterns more quickly and make better-informed decisions in real time.