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."Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time."
"The solution has a lot of functionality that can be pushed out to companies."
"We find the query editor feature of this solution extremely valuable for our business."
"The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex."
"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."
"It's scalable as a cloud product."
"Provides deep integration with other Azure resources."
"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"Confluence's greatest asset is its user-friendly interface, coupled with its remarkable ability to seamlessly integrate with a vast range of other solutions."
"It is also good for knowledge base management."
"We mostly use the solution's message queues and event-driven architecture."
"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."
"The design of the product is extremely well built and it is highly configurable."
"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."
"The collection and analysis of historical data could be better."
"The solution could be improved by providing better graphics and including support for UI and UX testing."
"Easier scalability and more detailed job monitoring features would be helpful."
"The initial setup is complex."
"Its features for event imports and architecture could be enhanced."
"The solution doesn't handle large data packets very efficiently, which could be improved upon."
"The solution's interface could be simpler to understand for non-technical people."
"Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure."
"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."
"there is room for improvement in the visualization."
"Confluent's price needs improvement."
"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."
"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."
Azure Stream Analytics is ranked 3rd in Streaming Analytics with 22 reviews while Confluent is ranked 4th in Streaming Analytics with 20 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 Google Cloud Dataflow, 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.
