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."Its lightweight and fast processing are valuable."
"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 solution is very simple and stable."
"It is a cost-effective solution."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"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."
"It's easy to drill down or expand data to get more details right out of the box."
"The initial setup was very straightforward."
"It is easy to set up the solution."
"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."
"ThoughtSpot takes the modifying of existing reports out of our hands."
"The scalability is good."
"The tool should improve its integration with other products."
"The Databricks cluster can be improved."
"A lot of people are required to manage this solution."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"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."
"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."
"If I want to order columns, this feature is not there."
"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."
"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 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."
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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