I had some experience with ThoughtSpot. It was a very limited use case, as I was just a part of a POC, so I cannot really comment.
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ThoughtSpotExternal reviews
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Empowers Effortless Search with Speed and AI-Driven Insights
What do you like best about the product?
ThoughtSpot is magnificent in managing the search options, where it offers responses to all queries raised
The software empowers all users, even those that are non technical to conduct searches effortlessly
ThoughtSpot has the ML or AI support that offers robust anomalies detection support and no manual digging
The program operates through the support of multiple data sources, and which facilitates users with more information
The searches from this app are handled speedily and accurately, saving on time
The deployment process functions both on premise or cloud and this supports of forms of businesses
The software empowers all users, even those that are non technical to conduct searches effortlessly
ThoughtSpot has the ML or AI support that offers robust anomalies detection support and no manual digging
The program operates through the support of multiple data sources, and which facilitates users with more information
The searches from this app are handled speedily and accurately, saving on time
The deployment process functions both on premise or cloud and this supports of forms of businesses
What do you dislike about the product?
ThoughtSpot have issues with visualization customization, which would facilitate better on searches
The tool has an expensive licensing fee that costs more to users
The tool has an expensive licensing fee that costs more to users
What problems is the product solving and how is that benefiting you?
ThoughtSpot delivers instant answers to users, where no delays or wait time when search is done
The tool creates performance efficiency, which entails real time solutions to all the queries raised, and no manual spreadsheet required
The tool has powerful data connectors that ensures our company has updated and timely responses to all queries raised
We capture real time insights regarding every single department or service provider in a company, and this makes it effective to detect anomalies
There is no barriers for the non technical users ti access answers that concerns the
The program is embedded in the customer support tools, ensuring that we completely address all the challenges that ails our clients
The tool creates performance efficiency, which entails real time solutions to all the queries raised, and no manual spreadsheet required
The tool has powerful data connectors that ensures our company has updated and timely responses to all queries raised
We capture real time insights regarding every single department or service provider in a company, and this makes it effective to detect anomalies
There is no barriers for the non technical users ti access answers that concerns the
The program is embedded in the customer support tools, ensuring that we completely address all the challenges that ails our clients
ThoughtSpot Redefines Self-Service BI at Enterprise Scale
What do you like best about the product?
Natural Language Search allows users to query data using plain English, significantly reducing analysis times from hours to minutes. This makes self-service analytics accessible to non-technical stakeholders.
Real-Time Queries are possible through a live connection to the Redshift warehouse on AWS, providing almost instant results even when working with hundreds of billions of rows.
Security and Governance are enhanced with Role-Based Access (RBA) and Row-Level Security (RLS), giving Thoughtspot a compliance advantage and reducing the complexity often found in other BI solutions.
Scalability for Enterprise Loads is another strength, as the system is designed to manage massive and complex datasets from numerous data sources. Its cloud-native architecture helps avoid the performance issues that can occur with legacy BI tools.
The Unified Workflow Ecosystem is also notable. Analyst Studio brings together SQL, Python, R, and visualizations in a single environment, which greatly boosts productivity and supports end-to-end analysis without losing context.
Real-Time Queries are possible through a live connection to the Redshift warehouse on AWS, providing almost instant results even when working with hundreds of billions of rows.
Security and Governance are enhanced with Role-Based Access (RBA) and Row-Level Security (RLS), giving Thoughtspot a compliance advantage and reducing the complexity often found in other BI solutions.
Scalability for Enterprise Loads is another strength, as the system is designed to manage massive and complex datasets from numerous data sources. Its cloud-native architecture helps avoid the performance issues that can occur with legacy BI tools.
The Unified Workflow Ecosystem is also notable. Analyst Studio brings together SQL, Python, R, and visualizations in a single environment, which greatly boosts productivity and supports end-to-end analysis without losing context.
What do you dislike about the product?
High and Opaque Pricing Policy: ThoughtSpot’s custom-quoted pricing model can be a shock to BI budgets, particularly for those looking to embed or scale the platform, with costs exceeding $500K annually for large-scale deployments. In contrast to Power BI’s affordable per-user tiers or Tableau’s transparent licensing, ThoughtSpot’s pricing can feel unpredictable and may pose a significant barrier for smaller startups and SMBs.
Limited Visualization and Customization Options: The dashboards lack the refinement and variety found in Tableau’s or Power BI’s advanced charting capabilities. ThoughtSpot’s auto-generated visuals often appear basic and can feel sluggish during in-depth analysis. The user interface can be tedious, making it less suitable for presentation-ready reports when compared to the pixel-perfect designs offered by competitors.
AI and NLP Limitations in Real-World Scenarios: The natural language search feature may struggle with complex or nuanced queries unless there is substantial upfront modeling. It lags behind tools like Sigma, which offer spreadsheet-like intuitiveness, or newer options like Zenlytic for genuine ad-hoc exploration. Achieving true self-service still requires a dedicated data professional team to ensure complete output accuracy, unlike Power BI Copilot’s broader capabilities.
Performance Glitches and Stability Issues: While ThoughtSpot is fast for live queries and individual answers, liveboards (dashboards) can become laggy or unresponsive when handling massive datasets and numerous visualizations during exploratory work. This stands in contrast to Tableau’s reliable rendering or Looker’s efficient query handling.
There are also several feature gaps and occasional bugs, which can make ThoughtSpot less dependable for high-stakes, real-time enterprise use compared to other well-established alternatives.
Limited Visualization and Customization Options: The dashboards lack the refinement and variety found in Tableau’s or Power BI’s advanced charting capabilities. ThoughtSpot’s auto-generated visuals often appear basic and can feel sluggish during in-depth analysis. The user interface can be tedious, making it less suitable for presentation-ready reports when compared to the pixel-perfect designs offered by competitors.
AI and NLP Limitations in Real-World Scenarios: The natural language search feature may struggle with complex or nuanced queries unless there is substantial upfront modeling. It lags behind tools like Sigma, which offer spreadsheet-like intuitiveness, or newer options like Zenlytic for genuine ad-hoc exploration. Achieving true self-service still requires a dedicated data professional team to ensure complete output accuracy, unlike Power BI Copilot’s broader capabilities.
Performance Glitches and Stability Issues: While ThoughtSpot is fast for live queries and individual answers, liveboards (dashboards) can become laggy or unresponsive when handling massive datasets and numerous visualizations during exploratory work. This stands in contrast to Tableau’s reliable rendering or Looker’s efficient query handling.
There are also several feature gaps and occasional bugs, which can make ThoughtSpot less dependable for high-stakes, real-time enterprise use compared to other well-established alternatives.
What problems is the product solving and how is that benefiting you?
ThoughtSpot is addressing the 'last-mile' challenge in business intelligence. Previously, our business users often had to wait days or even weeks to get the answers they needed. With the introduction of natural language search, they can now simply ask questions in plain English or use a point-and-click interface to receive answers within seconds, even when working with hundreds of billions of rows. Since deploying ThoughtSpot, the number of analysis requests has dropped by 800%, now averaging just 10 to 15 requests per month. This shift has enabled us to reclaim 70-75% of our business intelligence engineering team's time for more valuable work.
Revolutionizes Search with Instant Insights and Powerful AI
What do you like best about the product?
ThoughtSpot is an excellent tool for search purposes, allowing us to ask any question and receive immediate, visualized answers. The platform has removed technical barriers that could otherwise lead to poor search results. One of its standout features is the AI-powered SpotIQ, which automatically provides alerts about anomalies or trends within the system. We have benefited from its impressive predictive capabilities, which have helped us identify potential issues that could impact our search performance. ThoughtSpot also supports data connectivity, working seamlessly with various cloud warehouses to simplify analytics. Its enhanced analytics are further improved by the ability to connect or embed with other applications, making it more efficient to manage searches and discover new insights. Additionally, the app is mindful of governance, offering controlled access and data encryption to ensure purposeful data management.
What do you dislike about the product?
ThoughtSpot uses a costly pricing structure, with expenses rising as query consumption increases. Additionally, the app does not offer strong customization options, particularly when it comes to search visualization, which often requires a certain level of expertise.
What problems is the product solving and how is that benefiting you?
ThoughtSpot has greatly enhanced our data analytics processes by implementing effective search algorithms that gather information from various sources. The app’s real-time data search and analytics capabilities accelerate our decision-making, allowing us to act quickly and confidently. We are able to bridge existing gaps related to data accessibility, KPIs, and predictive algorithms for business performance and growth. ThoughtSpot’s analytical features are highly scalable, efficiently managing large volumes of data across different infrastructures. The introduction of SpotIQ makes it simple to ask questions and receive instant, accurate insights. Additionally, the program is built with a strong focus on security and governance, ensuring audit logs are maintained, identity management is handled properly, and systematic role-based access is enforced.
Effortless Data Search and Real-Time Insights with ThoughtSpot
What do you like best about the product?
ThoughtSpot provides easy access to data by offering smooth and intuitive search capabilities. This app consistently addresses all technical barriers related to data search, making the process straightforward. ThoughtSpot also features robust AI discovery tools that can detect trends, identify anomalies, and analyze insights effectively. The interactions and updates we receive from ThoughtSpot happen in real time, with the dashboard refreshing every time new data is available. The program excels at handling embedded analytics, enabling us to access reliable data from any source. Deploying ThoughtSpot is both effective and straightforward, with no additional costs involved. Additionally, the program plays an important role in security and governance, making identity management simple and efficient.
What do you dislike about the product?
ThoughtSpot involves intricate data modeling measures, which demand the use of complex algorithms. We encounter significant challenges when working with large data structures, and the optimization process can be quite overwhelming.
What problems is the product solving and how is that benefiting you?
ThoughtSpot has developed a system that allows us to ask data-related questions and receive immediate feedback or solutions. This program has helped eliminate reporting and search backlogs, which in turn accelerates the process of making new decisions. It is insightful, featuring AI-driven mechanisms that automatically provide feedback and insights. We rely on ThoughtSpot for its powerful live board, which is both practical and effective in supporting decision-making. Additionally, we use ThoughtSpot to enhance embedded analytics, which delivers valuable insights and ensures that all internal processes are systematically monitored. The program is also built to manage governance and prevent performance risks. The insights we gain from ThoughtSpot are actionable and easy to manage.
ThoughtSpot: Powerful Analytics, Real-Time Insights, and Effortless Collaboration
What do you like best about the product?
We use ThoughtSpot for analytics and it has been awesome. It makes good use of business data to detects patterns and trends and it helps in decision making.
It offers great AI features as well as real-time analytics to ensure efficiency and speed.
I like the data accuracy and the collaboration aspects where everyone has a centralized point to access business data.
Beside simplifying complex business data, then tool also makes visualization and diagramming easy.
It offers great AI features as well as real-time analytics to ensure efficiency and speed.
I like the data accuracy and the collaboration aspects where everyone has a centralized point to access business data.
Beside simplifying complex business data, then tool also makes visualization and diagramming easy.
What do you dislike about the product?
ThoughtSpot is the best I have used. No complaints.
What problems is the product solving and how is that benefiting you?
We use the product to run analytics on our business data no not only understand data deeper but also get helpful and actionable insights.
Has supported seamless dashboard collaboration and large data handling while offering room to lower certification costs
What is our primary use case?
What is most valuable?
Different BI tools have their strengths and weaknesses. If you take Tableau, it has very adjustability. You can make any kinds of dashboards in Tableau, and you can do many things. If you take Power BI, it has a good background of Microsoft helping it with its Microsoft services. So, different tools have different plus points. The point which I found to be a strength point for Domo was collaboration while building dashboards and pipelines, and the volume of data it used to handle. Domo has its own place in the market, but I would suggest the certification costs and the pricing for clients needs to be reduced a little. Otherwise, it's a good tool.
It's very consumer-friendly, and it adopted the GenAI features very quickly. I would measure Domo and ThoughtSpot on a similar scale, so there's a limited difference.
When researching new data, you need some machine which helps us scout through the entire data and give us basic insights. It takes very little time for us to gauge the kind of data it is, its nature, quality, and makes quality check and governance easy. Testing becomes easy, and if I have some questions for ad-hoc analysis, that becomes easy on ThoughtSpot, so that is very handy in those areas. It's not actually developed for developers; it is developed more for a middle to senior level, considering the conversational AI features.
I have used that feature, and that was very handy, but in an actual case scenario, you would not use that too much because you don't know the kind of formulas which have been used in the background. There are chances that it might hallucinate or build some different formulas than what you are expecting as a developer. Although it's a very nice feature to have, I don't think that is something which can survive alone.
What needs improvement?
There should be a free version of it for people to learn easily so that they get adapted easily and get used to supporting the Domo community, which is something very important.
The certification costs and the pricing for clients needs to be reduced a little.
You need to have someone working on the back end.
For how long have I used the solution?
I have been working in this field for close to four and a half years.
What do I think about the stability of the solution?
It is stable.
What do I think about the scalability of the solution?
I'm not sure about its scalability; I have no real-time experience on that.
How are customer service and support?
I did not actually reach out much to the Domo support, but a few seniors of mine who reached out found it satisfactory.
They had a good experience with Domo.
We can rate them 9 or 10 for their support, and we never had any complaints.
ThoughtSpot customer service is slightly slower than what I expected. I had reached out to them for some reason, and there was a slight delay. I got a response from them maybe two weeks later, but they resolved my issue the moment they got back to it.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
This was just a POC, and I never sold or tried selling ThoughtSpot to anyone, although I tried selling Domo.
How was the initial setup?
It's straightforward. I did my architect certification in ThoughtSpot, and it's straightforward to set up and work on it.
I have done my certification, so I know that there is an on-prem version of it. I did the cloud one, the cloud architect one, so it is pretty straightforward, and it's basically plug-and-play.
Which other solutions did I evaluate?
Different BI tools have their strengths and weaknesses. If you take Tableau, it has very adjustability. You can make any kinds of dashboards in Tableau, and you can do many things. If you take Power BI, it has a good background of Microsoft helping it with its Microsoft services. So, different tools have different plus points.
What other advice do I have?
It's okay to use the company name GoodRx.
I recently moved into data engineering, but prior to this, I was a senior analyst at blend360.com.
I did not do a real-time case on predictive analysis on ThoughtSpot, so I cannot give you a right answer.
Domo features I have not really been exposed to, so I cannot comment on Domo. ThoughtSpot is good for scouting and learning, but that cannot be used as a base for production items. So, I cannot really compare on that scale.
It's not the best for ThoughtSpot.
I rate ThoughtSpot a six out of ten.
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?
ThoughtSpot: Empowering Everyone with Intuitive, AI-Driven Data Analytics
What do you like best about the product?
ThoughtSpot helps to make data analytics accessible to everyone, not just data scientist or analyst. It has the intuitive searched based interface where user can type natural language queries like they use to do in google. ThoughtSpot is very helpful and a game changer for every organization as it lets anyone, regardless of technical background, explore and visualize data on their own. It also helps in collaboration where teams can share insights easily and the another one its built in AI performs a great job in suggesting trends.
What do you dislike about the product?
Not as such specific dislike about this platform.
What problems is the product solving and how is that benefiting you?
In recent times, most of the business faces problems related to data analytics. ThoughtSpot helping in solving the complexity of accessing and interpreting data. In earlier times , analytical tools required specialized skills and that means only data engineer and analytics can pull out the useful insights. But ThoughtSpot solved this problem and anyone in the organization can use natural search to interact with data.
Very chaotic, hard to mantain
What do you like best about the product?
The idea seems very good to be able to write natural language and het a query out of it. It does provide some nice dashboarding tools, like tabs with linked filters. It allows row level security.
What do you dislike about the product?
Things don't actually work properly. Any formula you try to build won't work (it's not even recognized by the tool even when you use the right syntax). We had to create all metrics in dbt to be able to calculate them properly in Thoughtspot. Natural language doesnt work well. Our users found it very non-intuitive
What problems is the product solving and how is that benefiting you?
Data access and governance
Thought spot is a good app for data analysis and visualization
What do you like best about the product?
The analysis view is excellent for data classification
What do you dislike about the product?
While integrating on different platform it takes a little bit time
What problems is the product solving and how is that benefiting you?
We have a app where we analyse all loans and income it visualizes daily expenses and yearly
Natural language processing enables quick insights without analyst intervention
What is our primary use case?
Clients use ThoughtSpot because of its search facility. It is easy for searching and does not require analysts to provide reports. There is no drill-down path on the data, so users can drill data anywhere and get answers. It has agentic AI built in with natural language processing.
It is very self-service and includes natural language search capability.
What is most valuable?
I think it is a game changer this year. They have implemented something called Spotter, which provides the end user with a Google-style analytics solution to deliver quick insights without extensive training or requiring an analyst for reports.
They work with Microsoft and AWS.
What needs improvement?
I do not think there is anything that needs improvement at the moment. It is being improved continuously. They are connecting to many AI-type tools. Their pricing has recently changed to be more price-conscious.
From the implementation perspective, it could possibly be a bit more streamlined.
For how long have I used the solution?
Eight years.
What do I think about the stability of the solution?
It is absolutely stable.
What do I think about the scalability of the solution?
ThoughtSpot is absolutely a scalable solution.
How are customer service and support?
Technical support of ThoughtSpot rates at an eight. Because we manage our customers, we solve any problems that come to us in the first instance, and then we triage the calls. If anything needs to go to ThoughtSpot, then it goes over to them.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup is medium in complexity. As an implementer of ThoughtSpot, modeling capabilities are required to get ThoughtSpot operational. We build some live boards for the customer so they can get started with it. Then we hand it over to the customer to continue and administer the platform as they see fit.
What was our ROI?
The return on investment is demonstrated through time savings and speed to insights.
What other advice do I have?
I have not personally encountered any issues as I do not perform the implementations, but there could be some. I speak from a customer and sales perspective.
On a scale of 1-10, this solution rates a 10.
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)
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