We performed a comparison between Amazon MSK and Databricks based on real PeerSpot user reviews.
Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."MSK has a private network that's an out-of-box feature."
"The most valuable feature of Amazon MSK is the integration."
"It is a stable product."
"Amazon MSK has significantly improved our organization by building seamless integration between systems."
"It offers good stability."
"Overall, it is very cost-effective based on the workflow."
"The solution is an impressive tool for data migration and integration."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"The main features of the solution are efficiency."
"We can scale the product."
"It's easy to increase performance as required."
"It does not autoscale. Because if you do keep it manually when you add a note to the cluster and then you register it, then it is scalable, but the fact that you have to go and do it, I think, makes it, again, a bit of some operational overhead when managing the cluster."
"The configuration seems a little complex and the documentation on the product is not available."
"Amazon MSK could improve on the features they offer. They are still lagging behind Confluence."
"The product's schema support needs enhancement. It will help enhance integration with many kinds of languages of programming languages, especially for environments using languages like .NET."
"It should be more flexible, integration-wise."
"It would be really helpful if Amazon MSK could provide a single installation that covers all the servers."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"Anyone who doesn't know SQL may find the product difficult to work with."
"I would like more integration with SQL for using data in different workspaces."
"The Databricks cluster can be improved."
"The product should provide more advanced features in future releases."
"The integration features could be more interesting, more involved."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
Amazon MSK is ranked 6th in Streaming Analytics with 6 reviews while Databricks is ranked 2nd in Streaming Analytics with 78 reviews. Amazon MSK is rated 7.2, while Databricks is rated 8.2. The top reviewer of Amazon MSK writes "Efficient real-time transaction tracking but time-consuming installation". On the other hand, the top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". Amazon MSK is most compared with Confluent, Amazon Kinesis, Azure Stream Analytics, Google Cloud Dataflow and Spring Cloud Data Flow, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio and Dremio. See our Amazon MSK vs. Databricks report.
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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.