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."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."
"The ease of use and its accessibility are valuable."
"The setup was straightforward."
"It is fast, it's scalable, and it does the job it needs to do."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"The fast data loading process and data storage capabilities are great."
"The most valuable feature is the ability to use SQL directly with Databricks."
"The performance and price is good."
"I have seen better user interfaces, so that is something that can be improved."
"The integration and query capabilities can be improved."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"It's not easy to use, and they need a better UI."
"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."
"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."
"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 connectivity with various BI tools could be improved, specifically the performance and real time integration."
"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.
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.