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 Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"The technical support is good."
"It's very simple to use Databricks Apache Spark."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"The setup was straightforward."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"It's easy to drill down or expand data to get more details right out of the box."
"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 scalability is good."
"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."
"It is easy to set up the solution."
"The initial setup was very straightforward."
"The integration features could be more interesting, more involved."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"I would like more integration with SQL for using data in different workspaces."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"It's not easy to use, and they need a better UI."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"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."
"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."
"A customized visualization is lacking in this product."
"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."
"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."
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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