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.
ThoughtSpot AI-Powered Analytics
ThoughtSpotExternal reviews
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Great for Search-Driven Analysts with Interactive Dashboards
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
Great Self-Service, But Formulas, Modeling, and Dashboard Access Are Too Many Steps
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.
Empowering Self-Service Analytics with Room for Governance
What do you like best about the product?
I love ThoughtSpot for its simple self-serve interface and AI natural language queries, which make it quick and easy for users to get to the right data. It's great because it empowers non-technical users to explore our data, solve problems, and answer their own questions without relying on the BI team. This speeds up insight generation and improves our organization’s data literacy.
What do you dislike about the product?
Because users can create their own 'answers' and 'liveboards', it can make governance difficult, leading to a number of duplicated, inefficient reports.
What problems is the product solving and how is that benefiting you?
ThoughtSpot simplifies data exploration for non-technical users, speeds up insight generation, and boosts our organization's data literacy. The self-serve interface and AI natural language queries make it quick and easy to access the right data.
Intuitive and Inspiring Analytics Platform
What do you like best about the product?
I have found Thoughtspot really easy to use. It's intuitive and easy to set up data dashboard and look for insights. I really like the Thoughtspot university, which helped me find more functions and uses in the beginning. Very inspirational.
What do you dislike about the product?
I wish more teams in my company would use it as it's easy to set up.
What problems is the product solving and how is that benefiting you?
Time saving and getting data insights quickly. Allowing me to share & provide regular updates & insights with other team members too.
Effortless Analytics with Intuitive Multi-Module Support
What do you like best about the product?
ThoughtSpot is helpful in capturing analytics for my team. I love the ease of use and the ability to have several data modules available at once.
What do you dislike about the product?
No issues at this time. I have only been using it for a few months now and have not had any issues.
What problems is the product solving and how is that benefiting you?
ThoughtSpot allows me access to several data modules all at once. This allows me the ability to speak to data on meetings when questions are asked.
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.
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?
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
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