"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 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."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"The design of the product is extremely well built and it is highly configurable."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"Their tech support is amazing; they are very good, both on and off-site."
"The initial setup is pretty easy."
"The main features of the solution are efficiency."
"It can send out large data amounts."
"The integration with Python and the notebooks really helps."
"The solution is very easy to use."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"It's great technology."
"Databricks helps crunch petabytes of data in a very short period of time."
"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."
"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."
"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."
"there is room for improvement in the visualization."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"A lot of people are required to manage this solution."
"Would be helpful to have additional licensing options."
"I would like it if Databricks made it easier to set up a project."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Implementation of Databricks is still very code heavy."
Confluent Platform is the complete streaming platform for large-scale distributed environments. Unlike a traditional messaging system or stream processing API, Confluent Enterprise enables all of your interfaces to the world to be connected to and make decisions with all of your internal systems in real time.
Confluent and partner vendors offer tested and secure connectors for many popular data systems. Connectors make it quick and easy to start setting up reliable data pipelines.
Our connectors are all fully integrated with the platform, namely the schema registry.
Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.
Confluent is ranked 6th in Streaming Analytics with 6 reviews while Databricks is ranked 1st in Streaming Analytics with 24 reviews. Confluent is rated 8.2, while Databricks is rated 7.8. The top reviewer of Confluent writes "All portfolios have access to the data that is being shared but there is a gap on the security side". On the other hand, the top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". Confluent is most compared with Amazon MSK, Amazon Kinesis, AWS Glue, Lenses.io and Cloudera DataFlow, whereas Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Alteryx and Dataiku Data Science Studio. 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.