We performed a comparison between Databricks and ThoughtSpot based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."We have the ability to scale, collaborate and do machine learning."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"The technical support is good."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"The solution is very easy to use."
"The solution is an impressive tool for data migration and integration."
"The initial setup was very straightforward."
"I like ThoughtSpot's search capabilities. You can also create custom analytics even if you aren't an experienced data analyst. We have users with no data analytics experience making some of the dashboards we've created, copying components, and customizing them to their specific use cases."
"It's easy to drill down or expand data to get more details right out of the box."
"The scalability is good."
"It is easy to set up the solution."
"ThoughtSpot takes the modifying of existing reports out of our hands."
"The ability to do ad hoc explorations of data has been most valuable."
"I would say the return on investment is good. Whatever we invested, we got results. We have been finding it easy to use and onboard new use cases."
"The product should provide more advanced features in future releases."
"A lot of people are required to manage this solution."
"CI/CD needs additional leverage and support."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"It would be great if Databricks could integrate all the cloud platforms."
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"The dashboards could give you more ability to fine tune the appearance. You get a great deal more control over how something looks in Power BI than you do in ThoughtSpot."
"ThoughtSpot is a fairly new product, so some usability aspects aren't as mature as we'd like them to be. One example is their organizational methodology, like how objects are organized in their dashboards inside the product. They're all on a flat list, which works if you've got five or 10 dashboards. However, it's insufficient when you're a large enterprise with multiple groups looking at the same dashboards. It isn't organized well."
"A customized visualization is lacking in this product."
"I would like to see more flexibility in adding the pins. Currently, we have four different sizes in which I can add pins, but I would like to be able to resize my pins."
"The most difficult thing I found is that it only deals with the files and does not have direct connectivity to databases."
"In terms of features, I'd like to be able to pivot data - for example, going from rows to columns. It's not easy to do."
"If I want to order columns, this feature is not there."
"The one area of the solution that I do hear needs improvement is on the visualization front."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while ThoughtSpot is ranked 15th in BI (Business Intelligence) Tools with 8 reviews. Databricks is rated 8.2, while ThoughtSpot is rated 7.6. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of ThoughtSpot writes "You can drill down into any data right out of the box, with a straightforward deployment, and great support". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas ThoughtSpot is most compared with Tableau, Microsoft Power BI, Looker, Amazon QuickSight and QlikView.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.