We performed a comparison between Confluent 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."The solution can handle a high volume of data because it works and scales well."
"Their tech support is amazing; they are very good, both on and off-site."
"We mostly use the solution's message queues and event-driven architecture."
"The monitoring module is impressive."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared."
"The design of the product is extremely well built and it is highly configurable."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"It's great technology."
"Automation with Databricks is very easy when using the API."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"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 very easy to use."
"Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"There is no local support team in Saudi Arabia."
"Confluent's price needs improvement."
"It could have more themes. They should also have more reporting-oriented plugins as well. It would be great to have free custom reports that can be dispatched directly from Jira."
"The product should integrate tools for incorporating diagrams like Lucidchart. It also needs to improve its formatting features. We also faced issues while granting permissions."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"Currently, in the early stages, I see a gap on the security side. If you are using the SaaS version, we would like to get a fuller, more secure solution that can be adopted right out of the box. Confluence could do a better job sharing best practices or a reusable pattern that others have used, especially for companies that can not afford to hire professional services from Confluent."
"In Confluent, there could be a few more VPN options."
"The integration and query capabilities can be improved."
"CI/CD needs additional leverage and support."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"I have seen better user interfaces, so that is something that can be improved."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"Databricks could improve in some of its functionality."
"The pricing of Databricks could be cheaper."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
Confluent is ranked 4th in Streaming Analytics with 19 reviews while Databricks is ranked 2nd in Streaming Analytics with 78 reviews. Confluent is rated 8.4, while Databricks is rated 8.2. The top reviewer of Confluent writes "Has good technical support services and a valuable feature for real-time data streaming ". On the other hand, the top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". Confluent is most compared with Amazon MSK, Amazon Kinesis, AWS Glue, Oracle GoldenGate and Fivetran, whereas Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and SAS Visual Analytics. See our Confluent 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.