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."The integration with Python and the notebooks really helps."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"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."
"Automation with Databricks is very easy when using the API."
"I work in the data science field and I found Databricks to be very useful."
"Its lightweight and fast processing are valuable."
"The solution is very simple and stable."
"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."
"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."
"The initial setup was very straightforward."
"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."
"Costs can quickly add up if you don't plan for it."
"The product should provide more advanced features in future releases."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"The one area of the solution that I do hear needs improvement is on the visualization front."
"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."
"A customized visualization is lacking in this product."
"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."
"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 most difficult thing I found is that it only deals with the files and does not have direct connectivity to databases."
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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