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 Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics."The initial setup phase of Databricks was good."
"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."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"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."
"The ease of use and its accessibility are valuable."
"It's great technology."
"The solution is very easy to use."
"The performance and price is good."
"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."
"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."
"I have seen better user interfaces, so that is something that can be improved."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"The initial setup is difficult."
"Implementation of Databricks is still very code heavy."
"Improvement can be made by implementing a clear sales point that guides users in making choices, especially for virtualization purposes."
Databricks is ranked 1st 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 Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Dell Streaming Data Platform is most compared with Confluent and Starburst Galaxy.
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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.