ThoughtSpot AI-Powered Analytics - Enterprise Edition

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.

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.

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.

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.

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.

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.

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.

I have been working in this field for close to four and a half years.

It is stable.

I'm not sure about its scalability; I have no real-time experience on that.

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.

Positive

This was just a POC, and I never sold or tried selling ThoughtSpot to anyone, although I tried selling Domo.

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.

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.

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.

Public Cloud

Amazon Web Services  (AWS )

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.