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.

I am currently simultaneously working with Power BI, ThoughtSpot, Snowflake, and Postgres as the products and solutions. ThoughtSpot is deployed on AWS.

It was implemented as a POC model because we previously used Oracle-based business intelligence, such as OAC. Due to cost considerations, we moved to Power BI, which is working fine currently. Because of recent advancements, ThoughtSpot is excellent at processing huge amounts of data. Where Power BI lacks processing compute power, we conducted a POC to check the accuracy and design capabilities of the dashboards. We worked on ThoughtSpot, tried to replicate existing reports, reconcile them, and then implemented it for one project.

The best feature is usability from the customer and client perspective. Usually, we would need a dedicated developer for creating reports in Power BI. However, ThoughtSpot is really easy to work with. The connectivity is easy with other databases, and the amount of data it consumes and the generation power is impressive. In Power BI, refreshing the same amount of data takes almost half an hour, while in ThoughtSpot it takes approximately 10-15 seconds.

Once all the datasets and configurations are set up, the usability in ThoughtSpot is excellent. Users can utilize NLQ and get quality results. The entire dashboard functionality is superior compared to Power BI's Q&A and recently introduced Co-pilot, as ThoughtSpot understands the data better.

We have seen areas where improvements are needed for predictions with natural language search. While we can derive normal Gaussian curve predictions, there are additional aspects that could be enhanced.

AI-driven insights in ThoughtSpot have not been implemented yet as our organization has not approved releasing the data to AI. This process is still pending approval.

The prediction model needs improvement. While NLQ is working perfectly fine and the data understanding capabilities of ThoughtSpot are good, there is room for improvement. Compared to Oracle's DV or Microsoft Power BI, it is more advanced. However, when implementing it for finance, general ledger, profit and loss, and balance sheet applications, we faced some challenges as these areas require very accurate data.

I have been using ThoughtSpot for approximately six months.

There were no challenges with the initial setup of ThoughtSpot. It was straightforward.

We have not experienced any glitches or downtimes with ThoughtSpot. After delivery, we haven't received any negative feedback from our brokers.

We haven't attempted to scale it up because it's being used by a small group. Scaling might be necessary when we implement it for bigger projects.

We have not yet required technical support.

Neutral

The initial setup of ThoughtSpot was straightforward. It would be beneficial if ThoughtSpot had an integration tool for migration purposes. For example, when moving from Oracle-based analytics to ThoughtSpot or from Power BI to ThoughtSpot, a tool that could pull in all connections, understand the design in Power BI, and replicate it in ThoughtSpot would be valuable. This would eliminate most migration challenges, make the process smoother, and require less manpower.

The initial setup of ThoughtSpot was straightforward.

I handled the deployment myself and purchased ThoughtSpot from the vendor.

Compared to Power BI, ThoughtSpot is more expensive. This is why we haven't implemented it for most projects currently. Based on our implementation in one project, we are trying to raise more funding to expand its use.

The main difference is the heavy reliance on developers for visualization development and data modeling in other technologies compared to ThoughtSpot. Additionally, the in-memory computation power is significantly lower in competitor products. Oracle DV has recently gained attention due to its predictive model capability and flexible design options.

ThoughtSpot is quite intuitive. We haven't used it for workflows yet as most workflows and pipelines are developed in Snowflake using Snowpipe and PL/SQLs. The main benefit is the reduced dependency for generating reports.

Two major benefits are the reduced reliance on developers to get accurate data and the impressive data processing capabilities.

The organization-level setup is straightforward, and the integration with AD server is seamless. The SSO configurations work smoothly.

It would be beneficial to have more variety of visuals included in ThoughtSpot, though the current offerings perform adequately.

The in-memory computing and NLQ capabilities are significant advantages compared to other technologies in the market.

On a scale of 1-10, I rate ThoughtSpot an 8.

Positive

Neutral