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 load distribution capabilities are good, and you can perform data processing tasks very quickly."
"It's very simple to use Databricks Apache Spark."
"The solution is very simple and stable."
"The main features of the solution are efficiency."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"It is easy to set up the solution."
"The ability to do ad hoc explorations of data has been most valuable."
"The scalability is good."
"The initial setup was very straightforward."
"ThoughtSpot takes the modifying of existing reports out of our hands."
"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."
"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."
"There are no direct connectors — they are very limited."
"There should be better integration with other platforms."
"The integration features could be more interesting, more involved."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"We'd like a more visual dashboard for analysis It needs better UI."
"The integration of data could be a bit better."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"A lot of people are required to manage this solution."
"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 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."
"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."
"A customized visualization is lacking in this product."
"The one area of the solution that I do hear needs improvement is on the visualization front."
"If I want to order columns, this feature is not there."
"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."
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 Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas ThoughtSpot is most compared with Tableau, Microsoft Power BI, Looker, Amazon QuickSight and Dremio.
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