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."I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"Provides deep integration with other Azure resources."
"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."
"The way it organizes data into tables and dashboards is very helpful."
"The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex."
"It provides the capability to streamline multiple output components."
"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."
"I like the way the UI looks, and the real-time analytics service is aligned to this. That can be helpful if I have to use this on a production service."
"We mostly use the solution's message queues and event-driven architecture."
"The documentation process is fast with the tool."
"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."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"The most valuable is its capability to enhance the documentation process, particularly when creating software documentation."
"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."
"Their tech support is amazing; they are very good, both on and off-site."
"It is also good for knowledge base management."
"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."
"Early in the process, we had some issues with stability."
"Easier scalability and more detailed job monitoring features would be helpful."
"We would like to have centralized platform altogether since we have different kind of options for data ingestion. Sometimes it gets difficult to manage different platforms."
"The solution doesn't handle large data packets very efficiently, which could be improved upon."
"The solution offers a free trial, however, it is too short."
"The solution could be improved by providing better graphics and including support for UI and UX testing."
"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."
"There is a limitation when it comes to seamlessly importing Microsoft documents into Confluent pages, which can be inconvenient for users who frequently work with Microsoft Office tools and need to transition their content to Confluent."
"There is no local support team in Saudi Arabia."
"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."
"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."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"It could have more integration with different platforms."
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.
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