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."Confluence's greatest asset is its user-friendly interface, coupled with its remarkable ability to seamlessly integrate with a vast range of other solutions."
"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"The most valuable feature of Confluent is the wide range of features provided. They're leading the market in this category."
"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."
"The monitoring module is impressive."
"We mostly use the solution's message queues and event-driven architecture."
"The solution can handle a high volume of data because it works and scales well."
"The simplicity of development is the most valuable feature."
"The most valuable feature is the ability to use SQL directly with Databricks."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that."
"Automation with Databricks is very easy when using the API."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"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."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"The pricing model should include the ability to pick features and be charged for them only."
"They should remove Zookeeper because of security issues."
"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 has a good monitoring tool, but it's not customizable."
"The formatting aspect within the page can be improved and more powerful."
"In Confluent, there could be a few more VPN options."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"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."
"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."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"Databricks could improve in some of its functionality."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"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."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"Can be improved by including drag-and-drop features."
"Doesn't provide a lot of credits or trial options."
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.
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.
