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."We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"It's great technology."
"The technical support is good."
"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."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"The ability to stream data and the windowing feature are valuable."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"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'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."
"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."
"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."
"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 to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"Databricks can improve by making the documentation better."
"I have seen better user interfaces, so that is something that can be improved."
"Anyone who doesn't know SQL may find the product difficult to work with."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"The most difficult thing I found is that it only deals with the files and does not have direct connectivity to databases."
"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."
"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."
"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."
"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."
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, 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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