We performed a comparison between Apache NiFi and Azure Stream Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service."The most valuable feature has been the range of clients and the range of connectors that we could use."
"We can integrate the tool with other applications easily."
"Visually, this is a good product."
"The most valuable features of this solution are ease of use and implementation."
"The initial setup is very easy. I would rate my experience with the initial setup a ten out of ten, where one point is difficult, and ten points are easy."
"It's an automated flow, where you can build a flow from source to destination, then do the transformation in between."
"The user interface is good and makes it easy to design very popular workflows."
"The initial setup is very easy."
"Provides deep integration with other Azure resources."
"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."
"It's a product that can scale."
"The life cycle, report management and crash management features are great."
"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."
"We find the query editor feature of this solution extremely valuable for our business."
"The solution has a lot of functionality that can be pushed out to companies."
"The way it organizes data into tables and dashboards is very helpful."
"The use case templates could be more precise to typical business needs."
"More features must be added to the product."
"There are some claims that NiFi is cloud-native but we have tested it, and it's not."
"The overall stability of this solution could be improved. In a future release, we would like to have access to more features that could be used in a parallel way. This would provide more freedom with processing."
"We run many jobs, and there are already large tables. When we do not control NiFi on time, all reports fail for the day. So it's pretty slow to control, and it has to be improved."
"There is room for improvement in integration with SSO. For example, NiFi does not have any integration with SSO. And if I want to give some kind of rollback access control across the organization. That is not possible."
"I think the UI interface needs to be more user-friendly."
"There should be a better way to integrate a development environment with local tools."
"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."
"Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure."
"The solution could be improved by providing better graphics and including support for UI and UX testing."
"The solution offers a free trial, however, it is too short."
"The UI should be a little bit better from a usability perspective."
"We would like to have centralized platform altogether since we have different kind of options for data ingestion. Sometimes it gets difficult to manage different platforms."
"The solution's interface could be simpler to understand for non-technical people."
"Azure Stream Analytics could improve by having clearer metrics as to the scale, more metrics around the data set size that is flowing through it, and performance tuning recommendations."
Apache NiFi is ranked 8th in Compute Service with 10 reviews while Azure Stream Analytics is ranked 4th in Streaming Analytics with 22 reviews. Apache NiFi is rated 7.8, while Azure Stream Analytics is rated 8.2. The top reviewer of Apache NiFi writes "Allows the creation and use of custom functions to achieve desired functionality but limitation in handling monthly transactions due to a lack of partitioning for dates". On the other hand, the top reviewer of Azure Stream Analytics writes "Easy to set up and user-friendly, but could be priced better". Apache NiFi is most compared with Google Cloud Dataflow, AWS Lambda, Apache Spark, Apache Storm and AWS Fargate, whereas Azure Stream Analytics is most compared with Amazon Kinesis, Databricks, Amazon MSK, Apache Flink and AWS Lambda.
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.
