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.
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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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Updated weekly
By ThoughtSpot
By Sisense
By Alteryx
Top
10
In Analytics, Data Warehouses
Top
10
In Analytic Platforms, Data Analytics, Business Intelligence & Advanced Analytics
Top
10
In Data Preparation, ML Solutions, 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
Workflow Automation Interface
Drag-and-drop interface with 300+ analytic building blocks for creating and automating data workflows
Data Processing Capabilities
End-to-end automation of data engineering including data access, preparation, blending, enrichment, and geospatial analytics
Machine Learning Functionality
Automated machine learning (AutoML) with feature engineering capabilities for data science and ML use cases
Cloud-Native Architecture
Browser-based, cloud-native experience that integrates with AWS services for building and automating data pipelines
Enterprise Governance and Sharing
Server-based solution for sharing and governing analytic workflow processes at enterprise scale with security and management capabilities
Standard contract
No
No
Customer reviews
Purity Wairimu
Self-service analytics has empowered teams and now drives faster data-driven decisions
Reviewed on Feb 06, 2026
Review from a verified AWS customer
What is our primary use case?
My name is Peter Chemo, a Financial Analyst at Nesto.
One of the major challenges that ThoughtSpot solves is reducing the dependency on data teams for reports and insights. ThoughtSpot also integrates well with modern data cloud platforms like Snowflake . This platform enables the creation of dynamic, interactive dashboards and visualization which helps track KPIs and provide insights into business performance. We are able to make data-driven decisions, know how our business is doing, and understand where to put more effort and where our clients are very happy about our business. ThoughtSpot empowers non-technical users to perform ad hoc data analysis. Users can use a Google-like search interface to query data and generate insights in real-time without relying on the data team.
We are able to gather data insights from different data sources and make our own data-driven decisions easily without even involving the data team. ThoughtSpot delivers performance at scale, ensuring that even the largest organization can quickly analyze and visualize data without needing a data team. I love the ability to seamlessly share live dashboards, foster collaboration, and ensure everyone in the organization is working from the same data source and aligned in decision-making.
ThoughtSpot allows us to create live boards that process quickly when it comes to large datasets. We are able to do a live data connection that gives us scalability to find insights that ultimately guide us in the strategic management of our data, whether it is engineering, marketing, product, or any department. Our teams are able to make their own data-driven decisions easily. This serves a wide array of use cases when the strategy is focused on product.
We gather data from different departments through ThoughtSpot, which enables us to collaborate and make data-driven decisions together.
What is most valuable?
I have an experience of four years using ThoughtSpot.
ThoughtSpot is very easy to use. Even non-technical users find it very easy to use and user-friendly.
Some of the best features ThoughtSpot offers are innovation, ease of use, and data analytics. Reporting development is also pretty easy, making complex formulas slightly easier. Additionally, dashboarding for non-technical people, easy search of data, ease of getting insights, AI-driven analytics, and the ability to easily build charts are highlights. ThoughtSpot also offers data connection with live data sources.
ThoughtSpot's scalability is impressive; it can handle large data easily, and performance has been powerful and reliable. The AI-driven analytics capabilities in ThoughtSpot help to predict future outcomes and are very helpful in tracking data, and performance is great.
What needs improvement?
The customizability of the visualization live boards should be improved. Additional support for more data warehouse systems is needed, as data does not always match sometimes. Sophisticated data modeling features like AFC should be included.
For how long have I used the solution?
I have been working in my current field for five years.
What do I think about the stability of the solution?
ThoughtSpot is very stable.
What do I think about the scalability of the solution?
ThoughtSpot's scalability is impressive; it can handle large data easily, and performance has been powerful and reliable.
How are customer service and support?
The customer support for ThoughtSpot is very proactive and supportive, available 24/7.
It was very easy for my team to learn and adopt ThoughtSpot since it has a very user-friendly interface. The customer support is proactive 24/7, so they are able to support both technical and non-technical users.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
We switched from Looker and Sisense before using ThoughtSpot.
I did not previously use a different solution before ThoughtSpot.
How was the initial setup?
The integration process with our existing data sources and tools is very seamless.
The performance of ThoughtSpot has been very fast, reliable, and consistent, even when handling huge amounts of data. I have not seen any crashes.
What was our ROI?
This tool has really improved our decision-making by 70 to 80% because we are able to rely on insights from different data sources from different departments. We can make data-driven decisions easily. ThoughtSpot is a very good tool because it does not usually take much time from the data team. We make our own decisions without even involving the data team, allowing them to save time and focus on more strategic projects.
What's my experience with pricing, setup cost, and licensing?
The pricing, setup cost, and licensing for ThoughtSpot are competitive, and it is a very user-friendly tool compared to its competitors. Setting it up was easy and straightforward.
Which other solutions did I evaluate?
Before choosing ThoughtSpot, I evaluated the Microsoft BI tool.
What other advice do I have?
If others want to be reliant on themselves and not on the data team, they should consider using ThoughtSpot. ThoughtSpot gathers insights from different data sources and allows for making their own data-driven decisions.
It is easy to make data-driven decisions with ThoughtSpot. Consequently, we are able to gather insights from different data sources, improving data security. Tracking and progress reports are simple to generate, and the speed of execution is commendable.
ThoughtSpot is very easy to use, cost-effective, and a very secure tool. I would rate this product an 8 out of 10.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Karli B.
Steep Learning Curve, But Powerful
Reviewed on Jan 27, 2026
Review provided by G2
What do you like best about the product?
I find ThoughtSpot to be a great tool once you get used to using it. It helps me put data together in ways that make it easy for me to tell a story. I use it to gather and compare performance data.
What do you dislike about the product?
I think it's very difficult to learn how to use ThoughtSpot. It takes a long time to really learn it, and I'm still not even close to where I want to be proficiency-wise. The initial setup was confusing, though manageable.
What problems is the product solving and how is that benefiting you?
I use ThoughtSpot to gather and compare performance data, which allows me to easily put data together to tell a story.
Titus R.
Great for Search-Driven Analysts with Interactive Dashboards
Reviewed on Jan 20, 2026
Review provided by G2
What do you like best about the product?
It is good for search driven analysts,interactive dashboard,
What do you dislike about the product?
Expensive,limited customisation less control over visual design
What problems is the product solving and how is that benefiting you?
More people can find insight without deep technical skills
Maayan B.
ThoughtSpot: Easy to Use, Clear Documentation, and Seamless AI Integration
Reviewed on Jan 18, 2026
Review provided by G2
What do you like best about the product?
What I like most about ThoughtSpot is its ease of use, the ability to build relationships within the data model, and its very clear documentation. It also offers a seamless integration of AI capabilities and a well-designed user interface that aligns closely with market needs.
What do you dislike about the product?
“ThoughtSpot is highly accessible to end users, so once the models are built correctly within the platform, the responsibility for operating reports and visualizations lies with the end users. You don’t need to be a BI developer to manage the system. This has saved the data and engineering teams significant time, allowing them to focus on deeper business analysis rather than report maintenance.”What I like less at the moment is that while the platform is very AI-focused, their agent isn’t as powerful as I would expect. It doesn’t fully learn user behavior as anticipated, even though it leverages the OpenAI engine.
What problems is the product solving and how is that benefiting you?
ThoughtSpot is highly accessible to end users, so once the models are built correctly within the platform, the responsibility for operating reports and visualizations lies with the end users. You don’t need to be a BI developer to manage the system. This has saved the data and engineering teams significant time, allowing them to focus on deeper business analysis rather than report maintenance.
Isabelle N.
Great Self-Service, But Formulas, Modeling, and Dashboard Access Are Too Many Steps
Reviewed on Jan 14, 2026
Review provided by G2
What do you like best about the product?
The platform makes it easy for non-technical users to self-serve, and the software is relatively easy to learn. Customer support is also responsive.
What do you dislike about the product?
The formulas don’t use SQL or Excel-style formatting, so they’re difficult to build, understand, and troubleshoot.
Also, for a dashboard to include filters, the data has to be created as a model rather than pulled directly from the source table. That’s frustrating because it adds an extra step to what should be a straightforward setup.
Adding users to dashboards and granting access also feels unnecessarily drawn out. Users request access, it comes through via email, and when you click “grant” it takes you to the dashboard—where you then have to remember the user’s name and manually add them yourself. On top of that, if someone needs to use the dashboard filters, you’re required to give them access to the underlying sources. Why? Overall, there are just too many steps.
The formatting available within ThoughtSpot also feels very limiting in terms of fonts, colour palettes, themes, etc. available.
Also, for a dashboard to include filters, the data has to be created as a model rather than pulled directly from the source table. That’s frustrating because it adds an extra step to what should be a straightforward setup.
Adding users to dashboards and granting access also feels unnecessarily drawn out. Users request access, it comes through via email, and when you click “grant” it takes you to the dashboard—where you then have to remember the user’s name and manually add them yourself. On top of that, if someone needs to use the dashboard filters, you’re required to give them access to the underlying sources. Why? Overall, there are just too many steps.
The formatting available within ThoughtSpot also feels very limiting in terms of fonts, colour palettes, themes, etc. available.
What problems is the product solving and how is that benefiting you?
Dashboarding and analytics for the business in real-time. Varied dashboards can be built fairly quickly and easily to answer business questions.