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 solution has a lot of functionality that can be pushed out to companies."
"The most valuable features are the IoT hub and the Blob storage."
"The solution's technical support is good."
"The way it organizes data into tables and dashboards is very helpful."
"The solution's most valuable feature is its ability to create a query using SQ."
"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."
"Technical support is pretty helpful."
"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."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"The design of the product is extremely well built and it is highly configurable."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"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."
"It is also good for knowledge base management."
"With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared."
"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's interface could be simpler to understand for non-technical people."
"One area that could use improvement is the handling of data validation. Currently, there is a review process, but sometimes the validation fails even before the job is executed. This results in wasted time as we have to rerun the job to identify the failure."
"I would like to have a contact individual at Microsoft."
"It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data. I can't customize or edit the data or do some queries. All queries need to be done in the Azure Stream Analytics."
"The solution doesn't handle large data packets very efficiently, which could be improved upon."
"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."
"If something goes wrong, it's very hard to investigate what caused it and why."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"The formatting aspect within the page can be improved and more powerful."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"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."
"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's price needs improvement."
"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."
Azure Stream Analytics is ranked 3rd in Streaming Analytics with 22 reviews while Confluent is ranked 4th 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 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.
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