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."Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"It is also good for knowledge base management."
"The monitoring module is impressive."
"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."
"I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and tools."
"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"Its lightweight and fast processing are valuable."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"Databricks integrates well with other solutions."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"Confluent has a good monitoring tool, but it's not customizable."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"They should remove Zookeeper because of security issues."
"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."
"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."
"Confluent's price needs improvement."
"The formatting aspect within the page can be improved and more powerful."
"The integration of data could be a bit better."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"Databricks has a lack of debuggers, and it would be good to see more components."
"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."
"I believe that this product could be improved by becoming more user-friendly."
"I would like more integration with SQL for using data in different workspaces."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"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."
Confluent is ranked 4th in Streaming Analytics with 21 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 and Dremio. See our Confluent vs. Databricks report.
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