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 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."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"It can send out large data amounts."
"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 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."
"Databricks helps crunch petabytes of data in a very short period of time."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"The performance and price is good."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"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."
"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."
"It should have more compatible and more advanced visualization and machine learning libraries."
"The pricing of Databricks could be cheaper."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"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 16th 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.
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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.