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."Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."
"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"I work in the data science field and I found Databricks to be very useful."
"The solution is an impressive tool for data migration and integration."
"It's easy to increase performance as required."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that."
"The simplicity of development is the most valuable feature."
"ThoughtSpot takes the modifying of existing reports out of our hands."
"The initial setup was very straightforward."
"The scalability is good."
"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 ability to do ad hoc explorations of data has been most valuable."
"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 is easy to set up the solution."
"It's easy to drill down or expand data to get more details right out of the box."
"It should have more compatible and more advanced visualization and machine learning libraries."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"There is room for improvement in visualization."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"We'd like a more visual dashboard for analysis It needs better UI."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"There should be better integration with other platforms."
"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."
"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."
"The one area of the solution that I do hear needs improvement is on the visualization front."
"The most difficult thing I found is that it only deals with the files and does not have direct connectivity to databases."
"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."
"A customized visualization is lacking in this product."
"If I want to order columns, this feature is not there."
"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."
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.
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