"Visually, this is a good product."
"The most valuable features of this solution are ease of use and implementation."
"It's an automated flow, where you can build a flow from source to destination, then do the transformation in between."
"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."
"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."
"The solution has a lot of functionality that can be pushed out to companies."
"I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"The most valuable features are the IoT hub and the Blob storage."
"There should be a better way to integrate a development environment with local tools."
"I think the UI interface needs to be more user-friendly."
"There are some claims that NiFi is cloud-native but we have tested it, and it's not."
"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."
"If something goes wrong, it's very hard to investigate what caused it and why."
"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."
"The collection and analysis of historical data could be better."
"Early in the process, we had some issues with stability."
"The solution offers a free trial, however, it is too short."
Apache NiFi is ranked 4th in Compute Service with 3 reviews while Azure Stream Analytics is ranked 5th in Streaming Analytics with 7 reviews. Apache NiFi is rated 7.6, while Azure Stream Analytics is rated 8.0. The top reviewer of Apache NiFi writes "Open source solution that allows you to collect data with ease". On the other hand, the top reviewer of Azure Stream Analytics writes "A serverless scalable event processing engine with a valuable IoT feature". Apache NiFi is most compared with Google Cloud Dataflow, AWS Lambda, Apache Spark, Apache Storm and IBM Streams, whereas Azure Stream Analytics is most compared with Databricks, Apache Spark, Apache Flink, Apache Spark Streaming and Amazon Kinesis.
We monitor all Compute Service 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.
