We performed a comparison between Databricks and Dell Streaming Data Platform based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), Databricks, Microsoft and others in Streaming Analytics."The processing capacity is tremendous in the database."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"Ability to work collaboratively without having to worry about the infrastructure."
"It's great technology."
"It's easy to increase performance as required."
"The performance and price is good."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"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."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"Pricing is one of the things that could be improved."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"It's not easy to use, and they need a better UI."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"Improvement can be made by implementing a clear sales point that guides users in making choices, especially for virtualization purposes."
Databricks is ranked 2nd in Streaming Analytics with 78 reviews while Dell Streaming Data Platform is ranked 20th in Streaming Analytics with 1 review. Databricks is rated 8.2, while Dell Streaming Data Platform is rated 8.0. 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 Dell Streaming Data Platform writes "The solution’s clear-cut pricing makes scalability a cinch". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas Dell Streaming Data Platform is most compared with Confluent.
See our list of best Streaming Analytics vendors.
We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.