"The solution is very stable and reliable."
"The solution is better than average and some of the valuable features include efficiency and stability."
"The solution has a lot of functionality that can be pushed out to companies."
"Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time."
"Technical support is pretty helpful."
"Provides deep integration with other Azure resources."
"The most valuable features are the IoT hub and the Blob storage."
"I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"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."
"There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused."
"The solution itself could be easier to use."
"The collection and analysis of historical data could be better."
"The solution offers a free trial, however, it is too short."
"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."
"Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure."
"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."
"If something goes wrong, it's very hard to investigate what caused it and why."
"Early in the process, we had some issues with stability."
Apache Spark Streaming is ranked 9th in Streaming Analytics with 2 reviews while Azure Stream Analytics is ranked 5th in Streaming Analytics with 7 reviews. Apache Spark Streaming is rated 7.6, while Azure Stream Analytics is rated 8.0. The top reviewer of Apache Spark Streaming writes "Mature and stable with good scalability". On the other hand, the top reviewer of Azure Stream Analytics writes "A serverless scalable event processing engine with a valuable IoT feature". Apache Spark Streaming is most compared with Amazon Kinesis, Spring Cloud Data Flow, Databricks, Confluent and Talend Data Streams, whereas Azure Stream Analytics is most compared with Databricks, Apache Spark, Apache Flink, Apache NiFi and Amazon Kinesis. See our Apache Spark Streaming vs. Azure Stream Analytics 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.
