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.
"Amazon Kinesis has improved our ROI."
"The most valuable feature of Amazon Kinesis is real-time data streaming."
"What I like about Amazon Kinesis is that it's very effective for small businesses. It's a well-managed solution with excellent reporting. Amazon Kinesis is also easy to use, and even a novice developer can work with it, versus Apache Kafka, which requires expertise."
"What turns out to be most valuable is its integration with Lambda functions because you can process the data as it comes in. As soon as data comes, you'll fire a Lambda function to process a trench of data."
"Everything is hosted and simple."
"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."
"The solution has the capacity to store the data anywhere from one day to a week and provides limitless storage for us."
"We find the query editor feature of this solution extremely valuable for our business."
"Technical support is pretty helpful."
"I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"It's a product that can scale."
"The life cycle, report management and crash management features are great."
"It's scalable as a cloud product."
"The most valuable features are the IoT hub and the Blob storage."
"Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time."
"The price is not much cheaper. So, there is room for improvement in the pricing."
"Lacks first in, first out queuing."
"If there were better documentation on optimal sharding strategies then it would be helpful."
"There are certain shortcomings in the machine learning capacity offered by the product, making it an area where improvements are required."
"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."
"Kinesis Data Analytics needs to be improved somewhat. It's SQL based data but it is not as user friendly as MySQL or Athena tools."
"I think the default settings are far too low."
"The solution offers a free trial, however, it is too short."
"The solution's interface could be simpler to understand for non-technical people."
"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 collection and analysis of historical data could be better."
"The solution could be improved by providing better graphics and including support for UI and UX testing."
"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."
"If something goes wrong, it's very hard to investigate what caused it and why."
"The UI should be a little bit better from a usability perspective."
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.
