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."Amazon MSK has good integration because our team has been undergoing significant changes. Coupling it with MSK within AWS is helpful. We don't have to set up additionals or monitor external environments. This"
"It offers good stability."
"MSK has a private network that's an out-of-box feature."
"It is a stable product."
"Amazon MSK has significantly improved our organization by building seamless integration between systems."
"Overall, it is very cost-effective based on the workflow."
"The most valuable feature of Amazon MSK is the integration."
"The ability to stream data and the windowing feature are valuable."
"The solution is very simple and stable."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"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."
"The solution offers a free community version."
"The setup was straightforward."
"Easy to use and requires minimal coding and customizations."
"It should be more flexible, integration-wise."
"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."
"Amazon MSK could improve on the features they offer. They are still lagging behind Confluence."
"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."
"It would be really helpful if Amazon MSK could provide a single installation that covers all the servers."
"The configuration seems a little complex and the documentation on the product is not available."
"Databricks could improve in some of its functionality."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"Would be helpful to have additional licensing options."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"A lot of people are required to manage this solution."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"The product cannot be integrated with a popular coding IDE."
Amazon MSK is ranked 6th in Streaming Analytics with 7 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 "Streamlines our processes, and we don't need to configure any VPCs; it's automatic". 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, Azure Stream Analytics, Amazon Kinesis, Google Cloud Dataflow and PubSub+ Event Broker, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio. See our Amazon MSK vs. Databricks report.
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.