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."There are good features for turning off clusters."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"The initial setup phase of Databricks was good."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"We can scale the product."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"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 is easy to set up the solution."
"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."
"The ability to do ad hoc explorations of data has been most valuable."
"The scalability is good."
"ThoughtSpot takes the modifying of existing reports out of our hands."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"It would be great if Databricks could integrate all the cloud platforms."
"I have seen better user interfaces, so that is something that can be improved."
"A lot of people are required to manage this solution."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"A customized visualization is lacking in this product."
"The most difficult thing I found is that it only deals with the files and does not have direct connectivity to databases."
"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."
"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."
"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."
Databricks is ranked 1st in Data Science Platforms with 77 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, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Azure Stream Analytics, whereas ThoughtSpot is most compared with Tableau, Microsoft Power BI, Looker, Amazon QuickSight and Dremio.
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