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."It's easy to increase performance as required."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"Ability to work collaboratively without having to worry about the infrastructure."
"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"Its lightweight and fast processing are valuable."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"The performance and price is good."
"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."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"Anyone who doesn't know SQL may find the product difficult to work with."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"Can be improved by including drag-and-drop features."
"In the next release, I would like to see more optimization features."
"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.
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