We performed a comparison between Azure Stream Analytics and Confluent 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."The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."
"The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex."
"I appreciate this solution because it leverages open-source technologies. It allows us to utilize the latest streaming solutions and it's easy to develop."
"I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"The solution's most valuable feature is its ability to create a query using SQ."
"We find the query editor feature of this solution extremely valuable for our business."
"The solution's technical support is good."
"Technical support is pretty helpful."
"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 documentation process is fast with the tool."
"We mostly use the solution's message queues and event-driven architecture."
"Confluence's greatest asset is its user-friendly interface, coupled with its remarkable ability to seamlessly integrate with a vast range of other solutions."
"The solution can handle a high volume of data because it works and scales well."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"I would rate the scalability of the solution at eight out of ten. We have 20 people who use Confluent in our organization now, and we hope to increase usage in the future."
"The monitoring module is impressive."
"The solution doesn't handle large data packets very efficiently, which could be improved upon."
"The initial setup is complex."
"There may be some issues when connecting with Microsoft Power BI because we are providing the input and output commands, and there's a chance of it being delayed while connecting."
"I would like to have a contact individual at Microsoft."
"The solution's interface could be simpler to understand for non-technical people."
"Azure Stream Analytics could improve by having clearer metrics as to the scale, more metrics around the data set size that is flowing through it, and performance tuning recommendations."
"The solution could be improved by providing better graphics and including support for UI and UX testing."
"Early in the process, we had some issues with stability."
"there is room for improvement in the visualization."
"It could have more integration with different platforms."
"The Schema Registry service could be improved. I would like a bigger knowledge base of other use cases and more technical forums. It would be good to have more flexible monitoring features added to the next release as well."
"They should remove Zookeeper because of security issues."
"Confluent's price needs improvement."
"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."
"The formatting aspect within the page can be improved and more powerful."
"The pricing model should include the ability to pick features and be charged for them only."
Azure Stream Analytics is ranked 4th in Streaming Analytics with 22 reviews while Confluent is ranked 3rd in Streaming Analytics with 19 reviews. Azure Stream Analytics is rated 8.2, while Confluent is rated 8.4. The top reviewer of Azure Stream Analytics writes "Easy to set up and user-friendly, but could be priced better". On the other hand, the top reviewer of Confluent writes "Has good technical support services and a valuable feature for real-time data streaming ". Azure Stream Analytics is most compared with Amazon Kinesis, Databricks, Amazon MSK, Apache Flink and Apache NiFi, whereas Confluent is most compared with Amazon MSK, Amazon Kinesis, Databricks, AWS Glue and Mule Anypoint Platform. See our Azure Stream Analytics vs. Confluent 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.
