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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Deployed on AWS
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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.
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Try this product free according to the free trial terms set by the vendor.
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/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
Sanjeev A.
Fast Self-Service Insights, After Upfront Data Modeling
Reviewed on Nov 07, 2026
Review provided by G2
What do you like best about the product?
I like ThoughtSpot’s search-based querying. I can ask questions about our sales and marketing data in plain language and get a chart in seconds without knowing SQL or how the tables are joined. Ad hoc questions that used to take a day or two now take a few minutes, and managers can answer many of their own questions instead of filing dashboard requests with the data team. SpotIQ has also caught a couple of regional sales dips we hadn’t noticed in our dashboards. Connecting Snowflake was quick, and once the data modeling was done, rolling ThoughtSpot out to business users was smooth and required very little training.
What do you dislike about the product?
Getting ThoughtSpot search working well took real upfront effort from our data team. We had to clean up table joins and rename columns, and it took a few weeks before search returned accurate results. The search can also struggle with ambiguous phrasing, like confusing “last quarter” with “this quarter,” so I need to sanity-check results before sharing them with leadership.
What problems is the product solving and how is that benefiting you?
ThoughtSpot cuts ad hoc data questions from a 1–2 day wait to a few minutes of searching and reduces the backlog of dashboard requests, so managers can answer questions like weekly sales by region without filing a ticket.
HUGO NAIM F.
Google-like interface and real-time queries to Redshift and BigQuery
Reviewed on Nov 06, 2026
Review provided by G2
What do you like best about the product?
It has a Google-like interface as it eliminates the frustration of relying on a data analyst to change a filter, add a dimension, or answer a question. It also supports direct queries as it connects natively in real-time to platforms like Amazon Redshift or Google BigQuery without moving or copying data.
What do you dislike about the product?
The rigorous preparatory work as it has an extreme dependency on the semantic layer for the search bar to understand natural language questions. Engineers must prepare and tag all data. Its graphical flexibility and dashboard interface are limited as it has very little aesthetic customization and lacks advanced visualizations.
What problems is the product solving and how is that benefiting you?
The bottleneck in the data team as any business user can write their query in natural language and get a visual response in seconds. Also, the rigidity of static dashboards as it can change dimensions, cross variables, and perform impromptu queries in real-time, although nothing too specific. Its AI engine simultaneously analyzes millions of combinations in the background and shows key factors, solving the slowness of other systems by providing the data.
carlos h.
All Data in One Place with Easy, Shareable Graphs
Reviewed on Nov 05, 2026
Review provided by G2
What do you like best about the product?
I really like how all the data is in one place, and how easy it is to create graphs. I also really like the feature that lets you share the graphs you create.
What do you dislike about the product?
It’s not necessarily ThoughtSpot’s fault, but sometimes there are datasets that aren’t in the system yet, and you have to create them yourself or request that they be created.
What problems is the product solving and how is that benefiting you?
The way the data is presented to us is very beneficial. Since we have to make decisions on a daily basis, this helps us a lot.
Saket J.
Powerful Self-Service Analytics, with Modeling and Cost Tradeoffs
Reviewed on Nov 04, 2026
Review provided by G2
What do you like best about the product?
We like that non-technical users can get answers in seconds by asking questions through search and Spotter. Spotter has cut ad-hoc data requests to our team by more than half, so we can focus on product features. The Visual Embed SDK is well designed, supports React, and gives us events and host-app actions for deep integration. The Developer Playground and code samples made embedding a Liveboard quick, and we shipped customer-facing analytics in weeks instead of spending months building a custom UI. TML in Git lets us review changes through pull requests and deploy them automatically, with fewer production mistakes. We also like that the REST API v2 is clean, row-level security handles tenant isolation, and live queries on Snowflake keep data fresh without extracts or ETL jobs to maintain. Connecting Snowflake and creating our first models took a couple of days, so the initial setup was fairly easy.
What do you dislike about the product?
Search and Spotter work well only when the data model is clean, so I spend real effort on modeling, synonyms, and indexing before users get good results. Complex calculations and formulas are harder than in SQL. Live queries on large tables can increase Snowflake costs if I don’t tune them. Liveboard visual customization is limited compared to traditional BI tools, and pricing is high for a growing team. Getting clean models, synonyms, row-level security, and SSO right for production also took a few weeks.
What problems is the product solving and how is that benefiting you?
ThoughtSpot cuts our team’s ad-hoc report requests because users search data themselves instead of asking us to write SQL or build dashboards. Embedding saves us from building an analytics UI; row-level security handles tenant isolation, and TML in Git lets us review and promote changes between dev and prod like normal code.
Vamshi G.
Fast Data Discovery, but a Learning Curve for New Users
Reviewed on Nov 04, 2026
Review provided by G2
What do you like best about the product?
I use ThoughtSpot to explore data and find useful information easily. It’s simple to use and helps me understand things without much difficulty. I use search to find information and check reports, and the charts and tables make information easier to understand and compare. Search saves me time because I don’t have to check everything manually. I find ThoughtSpot useful for my regular work and prefer it when I need to explore data quickly.
What do you dislike about the product?
Sometimes I find it difficult to understand Liveboards and customize charts. The filters and search suggestions are not always clear, and I think the interface could be more beginner-friendly, with better explanations for some features. The initial setup wasn’t very difficult, but it took some time to understand the settings and connect everything properly. Our team is still getting used to ThoughtSpot.
What problems is the product solving and how is that benefiting you?
ThoughtSpot helps me find data quickly without going through lots of information manually, and makes it easier for me to understand and analyze data.