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 solution's most valuable feature is its ability to create a query using SQ."
"It provides the capability to streamline multiple output components."
"The most valuable features are the IoT hub and the Blob storage."
"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."
"The solution has a lot of functionality that can be pushed out to companies."
"We use Azure Stream Analytics for simulation and internal activities."
"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 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 solution can handle a high volume of data because it works and scales well."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"The documentation process is fast with the tool."
"Their tech support is amazing; they are very good, both on and off-site."
"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 could be improved by providing better graphics and including support for UI and UX testing."
"The initial setup is complex."
"Easier scalability and more detailed job monitoring features would be helpful."
"If something goes wrong, it's very hard to investigate what caused it and why."
"I would like to have a contact individual at Microsoft."
"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."
"The solution offers a free trial, however, it is too short."
"Early in the process, we had some issues with stability."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"It could have more integration with different platforms."
"It requires some application specific connectors which are lacking. This needs to be added."
"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."
"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."
"The formatting aspect within the page can be improved and more powerful."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"Confluent has a good monitoring tool, but it's not customizable."
Azure Stream Analytics is ranked 3rd in Streaming Analytics with 22 reviews while Confluent is ranked 4th in Streaming Analytics with 21 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.