We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The solution is better than average and some of the valuable features include efficiency and stability."
"Their tech support is amazing; they are very good, both on and off-site."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused."
"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."
"In Confluent, there could be a few more VPN options."
Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.
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.
Apache Spark Streaming is ranked 10th in Streaming Analytics with 1 review while Confluent is ranked 6th in Streaming Analytics with 2 reviews. Apache Spark Streaming is rated 6.0, while Confluent is rated 8.6. The top reviewer of Apache Spark Streaming writes "Efficient, better then average, but overly developer-focused ". On the other hand, the top reviewer of Confluent writes "Scalable, easy to use, and very stable". Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics, Spring Cloud Data Flow, Talend Data Streams and PubSub+ Event Broker, whereas Confluent is most compared with Amazon MSK, IBM Streams, Amazon Kinesis, Databricks and Qlik Replicate.
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.