Sold by: ThoughtSpot
Deployed on AWS
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AWS Free Tier
ThoughtSpot Agentic Analytics for AWS
4.4
Overview
Whether you're a business leader getting actionable insights from AI agents and next generation dashboards, a data scientist preparing datasets in Python, or a product leader building intelligent applications, ThoughtSpot delivers the data, insights and answers you need, right where you need them.
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.
ThoughtSpot Enterprise Edition is built for speed at scale. Get unlimited permission groups, users, and data without compromising enterprise security or support.
For custom pricing, EULA, or a private contract, please contact cloud-marketplace-orders@thoughtspot.com for a private offer.
Highlights
- Deliver an agentic analytics experience with Spotter, your dedicated AI analyst and research partner.
- Deliver data intelligence with next-gen dashboards that automatically detect, summarize, and deliver personalized insights directly into your business workflows and applications.
- Experience your data everywhere, like your favorite business apps or mobile phone, integrating actionable insights where it matters most.
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Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
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Dimension | Description | Cost/12 months |
|---|---|---|
Base Credits | Credits included in the base subscription of each edition | $60,000.00 |
Dimensions summary
This Enterprise Edition uses a single pricing dimension: Base Credits. You buy a subscription that includes a set pool of credits, measured in units. These credits fund your platform use under the contract term. Pricing scales with the number of base credits included in your subscription, rather than by individual user seat. LLM tokens are not metered or charged separately; your subscription governs platform use. If you bring your own LLM provider, that provider's fees may apply outside this listing.
Top-of-mind questions for buyers
A credit is the platform's usage unit included in your subscription. Your subscription includes a set pool of Base Credits that fund platform activity across the contract term. Credits track platform use rather than seats, so consumption reflects how your teams query, explore, and analyze data.
No. LLM tokens are not metered or charged separately in this listing. Your subscription governs platform use. If you connect your own LLM provider, that provider's own fees may apply outside this subscription.
Your subscription includes a fixed pool of Base Credits for the contract term. The listing does not publish overage or automatic top-up behavior. If your usage may exceed the included credits, contact the vendor to confirm how additional credits are handled.
www.thoughtspot.com
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Updated weekly
By ThoughtSpot
By Omni Analytics
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
AI-Powered Analytics Agent
Agentic analytics experience with dedicated AI analyst capabilities for automated research and analysis
Multi-Cloud Data Platform Compatibility
Support for multiple cloud data warehouses including Amazon Redshift, Snowflake, Databricks, Google BigQuery, and Azure Synapse
Automated Insight Generation
Next-generation dashboards with automatic detection, summarization, and personalized insight delivery capabilities
Self-Service Analytics
Self-service analytics platform with unlimited permission groups and users for enterprise-scale deployments
Cross-Platform Integration
Integration capabilities to embed actionable insights across business applications and mobile platforms
API-First Architecture
Platform designed with API-first approach enabling seamless integration of analytics capabilities within applications
Embedded Analytics
Capability to embed in-context analytics directly within applications for action-oriented insights
AI-Powered Analytics
Analytics engine powered by artificial intelligence for generating insights and data-driven recommendations
Data Integration
Seamless integration of analytics across business systems and applications for unified data analysis
Decision Intelligence
Analytics platform designed to enhance decision-making capabilities through integrated insights and analytics
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
Git Integration and Version Control
Git-based integration with branching, content validation, and version history for managing changes to semantic models and analytics content
Excel Workflow Integration
Native Excel spreadsheet compatibility allowing users to perform financial modeling, forecasting, and exploratory analysis within the platform
Software Development Lifecycle Features
CICD pipeline support, content validation, and developer workflows for safely testing and deploying model changes across environments
Standard contract
No
Customer reviews
Market Research
Easy to Use, Helpful Support, and Continual Product Improvements
Reviewed on Oct 09, 2026
Review provided by G2
What do you like best about the product?
Easy to use. Support team is always approachable and very helpful. And they keep developing their product and take customer feedback serious.
What do you dislike about the product?
Takes a bit of time to embed in the organization. Not everyone can work with it that easy. I often get errors when working on a liveboard.
What problems is the product solving and how is that benefiting you?
Creating the liveboards can now be done easier with the use of AI. For our company, insights are displayed better than our previous dashboards and it's also easier to use for our customers.
Jesus D.
Intuitive AI Search and Instant Visualizations Make Data Exploration Easy
Reviewed on Oct 06, 2026
Review provided by G2
What do you like best about the product?
What I like best about ThoughtSpot is how intuitive the UI/UX is — even non-technical users can explore data without needing to write queries. The AI/Intelligence-driven search makes it easy to ask questions in plain language and get instant visualizations. It also integrates well with our existing data sources, which made rollout across teams much smoother.
What do you dislike about the product?
What I dislike about ThoughtSpot is that performance can slow down noticeably when working with very large datasets or complex queries. The pricing/ROI is also a bit steep for smaller teams, which can make it harder to justify at scale. Additionally, support/onboarding has a learning curve — new users often need extra time and guidance to get fully up to speed.
What problems is the product solving and how is that benefiting you?
ThoughtSpot is helping us solve the problem of slow, bottlenecked reporting, instead of waiting on analysts, teams can self-serve answers directly thanks to the intuitive UI/UX and AI/Intelligence-powered search. The integrations with our existing data sources meant we didn't have to overhaul our stack to get value quickly. Performance at scale has let us analyze larger datasets without the delays we used to see, and overall the pricing/ROI has paid off by cutting down the time previously spent on manual reporting.
Xadani U.
Easy Connections Between Different Software Tools
Reviewed on Oct 06, 2026
Review provided by G2
What do you like best about the product?
It's easy to create connections between different softwares
What do you dislike about the product?
The UI may be less intuitive than others
What problems is the product solving and how is that benefiting you?
Performance, and how Databricks connects is easier
reviewer2890881
Self-service insights have reduced ad hoc reporting and empower teams with AI-driven spend analysis
Reviewed on Aug 21, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for ThoughtSpot is to enable self-reports in our company, allowing self users to produce the dashboards themselves and query our data in Snowflake with the prompting.
Our team works in the field of procurement and uses ThoughtSpot for self-service reporting, where the main source of our data is spend reporting data. Users can ask Spotter in ThoughtSpot, pin the answers to their liveboards, and create plots tailored to their category or department, which reduces the workload for our team as we don't have to answer each ad hoc request.
In addition to my main use case, we also start using ThoughtSpot for different use cases where Spotter combines various data sources and runs deep analyses such as forecasting or joining different tables by itself.
What is most valuable?
One of the best features ThoughtSpot offers is Spotter, which gives the opportunity to translate prompts in natural language to SQL queries. Additionally, flexible dashboard solutions and the new feature called Spotter Viz are really helpful for business users to produce their own dashboards.
The natural language querying and flexible dashboards have reduced the number of ad hoc requests our team receives, as business users now have access to the data sources and can solve their ad hoc requests by directly asking ThoughtSpot.
ThoughtSpot has positively impacted my organization, being considered a successful user story and an innovative tool in our department that fosters AI development.
ThoughtSpot has helped my team by reducing the workload of each of our team members by 4-8 hours per week, which we no longer have to spend on ad hoc requests.
What needs improvement?
Currently, we notice a bug in ThoughtSpot when Spotter joins different data sets extracted from Snowflake or produced by SQL. It joins data using Python and operates only on a sample of data, so not the full dataset is analyzed by Spotter, and in our use case, only 10% of our data is correctly analyzed.
The AI model used by Spotter can still hallucinate and sometimes fails to follow the instructions precisely, even though instructions are set, which is a needed improvement.
I choose eight out of ten because the tool is very innovative and provides the opportunity to use AI to communicate with data in cloud databases. It is quite easy for business users to use, but there is still room for improvement, such as resolving the existing bugs that analyze only a sample or a fraction of the data.
The AI capabilities of Spotter can still produce hallucinations, and sometimes it analyzes only a sample of data rather than the complete dataset. These are the biggest disadvantages for my team.
For how long have I used the solution?
I have been using ThoughtSpot for the last nine months.
What do I think about the stability of the solution?
ThoughtSpot is stable most of the time we use it.
What do I think about the scalability of the solution?
ThoughtSpot's scalability is quite good, as it is easy to implement a lot of data and connect it to Snowflake. However, as I mentioned, it analyzes some data only on a sample basis, which means it cannot analyze the full dataset that it has access to.
How are customer service and support?
The customer support from ThoughtSpot is great; we receive a lot of assistance from ThoughtSpot managers, and the regular meetings we have are helpful for our ThoughtSpot adoption in the company.
Which solution did I use previously and why did I switch?
We previously used Tableau for dashboarding extensively. We did not switch completely to ThoughtSpot, as it provides opportunities to create more flexible and ad hoc solutions for our business users, while Tableau is used to produce standard reports.
What was our ROI?
ThoughtSpot was deployed in my team three months ago, so we can only determine how much time we save per week, which is about 4-8 hours per employee.
What's my experience with pricing, setup cost, and licensing?
In my large company, I did not have to deal with any pricing or setup costs. ThoughtSpot is a globally approved tool for my company, so users do not have to pay anything extra; pricing is based on the number of rows extracted for our data, which I find quite fair, with no additional costs for queries or prompts produced by users.
Which other solutions did I evaluate?
We did not evaluate any other options before choosing ThoughtSpot.
What other advice do I have?
ThoughtSpot is deployed in our organization with a server, but I am not certain of the exact technical implementation, as several organizations within the company use different instances.
ThoughtSpot provides one of the best AI capabilities available in the market for dashboard and front-end solutions. It is easy to learn to use for both technical and non-technical users and integrates well with existing data if it is already in good shape. Additionally, ThoughtSpot continues to deliver a lot of elaborated AI features to assist our users.
I rate this review eight out of ten.
Goran Cuk
Visual dashboards have supported chart cleanup and now provide faster insights for stakeholders
Reviewed on Aug 17, 2026
Review from a verified AWS customer
What is our primary use case?
The background is that I have been working with ThoughtSpot during my learning period on the job when working for Binder, a digital asset management enterprise solution. I was there for four months and during that time, I actively used it as a data visualization tool.
I last used ThoughtSpot approximately ten to eleven months ago.
We used ThoughtSpot as a visualization tool for stakeholders, and there were many live charts. Because of optimization requirements, I had tasks to collect metadata information from ThoughtSpot regarding the usage time of the charts. To do that, I used third-party extensions for ThoughtSpot to retrieve information about when charts were last used, and I provided stakeholders and management with that information so they could see when the charts were last used and perform cleanup of the charts as needed. Additionally, I had tasks to optimize one of the live charts which was throwing an exception.
What is most valuable?
ThoughtSpot served as a visualization tool for stakeholders with many live charts. Because of optimization requirements, I had tasks to collect metadata information from ThoughtSpot regarding the usage time of the charts. To accomplish this, I used third-party extensions for ThoughtSpot to retrieve information about when charts were last used, and I provided stakeholders and management with that information so they could see when the charts were last used and perform cleanup of the charts as needed. Additionally, I had tasks to optimize one of the live charts which was throwing an exception.
I personally did not escalate any questions to the tech support team, but I believe someone from the team had to contact customer service. We deleted some charts purposely, and then we had to contact customer service to retrieve them because it was not possible to do so from our side.
What needs improvement?
The speed of ThoughtSpot could be improved. Speed is a critical aspect for displaying the data, and optimization was needed to increase the speed for displaying the data.
For how long have I used the solution?
I last used the solution approximately ten to eleven months ago.
What do I think about the stability of the solution?
Everything was working fine with ThoughtSpot without any problems.
How are customer service and support?
I personally did not escalate any questions to the tech support team, but I believe someone from the team had to contact customer service. We deleted some charts purposely, and then we had to contact customer service to retrieve them because it was not possible to do so from our side.
My interactions with customer service were positive. The only concern was that it required some time, possibly a day or two to retrieve the data, but that is normal.
Which solution did I use previously and why did I switch?
I have read the description regarding PeerSpot in an email, so I was somewhat informed.
How was the initial setup?
It was easy to onboard ThoughtSpot. It was really easy to learn and to be part of the team that was already working with it.
Which other solutions did I evaluate?
I was also working with Power BI from Microsoft, and it was in a similar range with ThoughtSpot. ThoughtSpot has most of the features that clients wanted, bringing value for them.
I was using Metabase as part of an internal project during which we performed containerization, and Metabase was included in one of the containers. We used it for the data visualization of our DBT models in that project. There were some other tryouts with free versions, but I cannot recall their names. I was also using Snowflake, which has its own visualization part integrated, and it is really good, but I would say not as good as ThoughtSpot because ThoughtSpot is mainly used for visualization of data and has more features than Snowflake's visualization component.
Currently, I cannot remember any disadvantages of ThoughtSpot compared to other products. During the time when I was working with it, almost a year ago, there may have been some user interface features, but that is something one gets used to when working with it. I do not want to mention it as a disadvantage because one just needs to become accustomed to it when working.
What other advice do I have?
I would recommend ThoughtSpot because I had a good experience working with it. It is easy to learn, easy to work with, and intuitive. ThoughtSpot is a really good tool to work with. I am not aware of the pricing, so I cannot comment on that aspect, but from my point of view, I would definitely recommend it and I like to mention it in my CVs that I have experience working with it.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)