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."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."
"The most valuable feature that we are using is the data replication between the data centers allowing us to configure a disaster recovery or software. However, is it's not mandatory to use and because most of the features that we use are from Apache Kafka, such as end-to-end encryption. Internally, we can develop our own kind of product or service from Apache Kafka."
"The monitoring module is impressive."
"The design of the product is extremely well built and it is highly configurable."
"The documentation process is fast with the tool."
"It is also good for knowledge base management."
"We mostly use the solution's message queues and event-driven architecture."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"It's very simple to use Databricks Apache Spark."
"The time travel feature is the solution's most valuable aspect."
"It is a cost-effective solution."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"It's great technology."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"Easy to use and requires minimal coding and customizations."
"It is fast, it's scalable, and it does the job it needs to do."
"In Confluent, there could be a few more VPN options."
"there is room for improvement in the visualization."
"They should remove Zookeeper because of security issues."
"There is no local support team in Saudi Arabia."
"Confluent's price needs improvement."
"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 could have more integration with different platforms."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"The product needs samples and templates to help invite users to see results and understand what the product can do."
"I believe that this product could be improved by becoming more user-friendly."
"Databricks has a lack of debuggers, and it would be good to see more components."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"Databricks can improve by making the documentation better."
"I have seen better user interfaces, so that is something that can be improved."
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
Confluent is ranked 4th in Streaming Analytics with 20 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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