We performed a comparison between Amazon Kinesis and Azure Stream Analytics based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Amazon Kinesis ultimately wins out in this comparison. According to reviews, Amazon Kinesis appears to be a more robust and high performing solution.
"Great auto-scaling, auto-sharing, and auto-correction features."
"The integration capabilities of the product are good."
"Setting Amazon Kinesis up is quick and easy; it only takes a few minutes to configure the necessary settings and start using it."
"The solution has the capacity to store the data anywhere from one day to a week and provides limitless storage for us."
"One of the best features of Amazon Kinesis is the multi-partition."
"Amazon Kinesis also provides us with plenty of flexibility."
"I like the ease of use and how we can quickly get the configurations done, making it pretty straightforward and stable."
"Everything is hosted and simple."
"We use Azure Stream Analytics for simulation and internal activities."
"Provides deep integration with other Azure resources."
"The way it organizes data into tables and dashboards is very helpful."
"The solution has a lot of functionality that can be pushed out to companies."
"The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex."
"The solution's technical support is good."
"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."
"It provides the capability to streamline multiple output components."
"Lacks first in, first out queuing."
"One thing that would be nice would be a policy for increasing the number of Kinesis streams because that's the one thing that's constant. You can change it in real time, but somebody has to change it, or you have to set some kind of meter. So, auto-scaling of adding and removing streams would be nice."
"There are certain shortcomings in the machine learning capacity offered by the product, making it an area where improvements are required."
"I suggest integrating additional features, such as incorporating Amazon Pinpoint or Amazon Connect as bundled offerings, rather than deploying them as separate services."
"We were charged high costs for the solution’s enhanced fan-out feature."
"The solution has a two-minute maximum time delay for live streaming, which could be reduced."
"It would be beneficial if Amazon Kinesis provided document based support on the internet to be able to read the data from the Kinesis site."
"Kinesis is good for Amazon Cloud but not as suitable for other cloud vendors."
"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."
"Early in the process, we had some issues with stability."
"The collection and analysis of historical data could be better."
"The UI should be a little bit better from a usability perspective."
"The solution’s customer support could be improved."
"Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure."
"The only challenge was that the streaming analytics area in Azure Stream Analytics could not meet our company's expectations, making it a component where improvements are required."
"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."
Amazon Kinesis is ranked 1st in Streaming Analytics with 24 reviews while Azure Stream Analytics is ranked 3rd in Streaming Analytics with 22 reviews. Amazon Kinesis is rated 8.0, while Azure Stream Analytics is rated 8.2. The top reviewer of Amazon Kinesis writes "Used for media streaming and live-streaming data". On the other hand, the top reviewer of Azure Stream Analytics writes "Easy to set up and user-friendly, but could be priced better". Amazon Kinesis is most compared with Amazon MSK, Confluent, Apache Flink, Google Cloud Dataflow and Apache Spark Streaming, whereas Azure Stream Analytics is most compared with Databricks, Amazon MSK, Apache Flink, Apache Spark and Apache Spark Streaming. See our Amazon Kinesis 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.