We performed a comparison between AWS Lambda 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."It enables the launch of thousands of instances simultaneously,"
"The support from AWS Lambda is very good, they are responsive."
"The feature I found most valuable about Lambda is the fact that it's serverless."
"AWS Lambda's best features are log analysis and event triggering and actioning."
"The utilization of containers is particularly beneficial in overcoming the size limitations imposed on Lambda functions which not only allows us to work around these constraints but also contributes to the improvement and maintenance of our code."
"The solution is scalable."
"This product is easy to use."
"You can spin up anything instantly without any investment."
"Provides deep integration with other Azure resources."
"The solution has a lot of functionality that can be pushed out to companies."
"The most valuable features are the IoT hub and the Blob storage."
"The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex."
"We find the query editor feature of this solution extremely valuable for our business."
"It's a product that can scale."
"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."
"The way it organizes data into tables and dashboards is very helpful."
"Lambda's dashboard could be more user-friendly and customizable. I want the dashboard to have more information to quickly identify what functions and events are running. Also, we want to be able to add more trigger points, push notifications, and events."
"We face some problems with the event-driven execution model."
"The price in general could always be better."
"The overall performance of this solution could be improved. We would also like to have better integration with other AWS features."
"The running time of AWS Lambda runs fine. It takes around five minutes but it would be great if that time could be extended."
"Lambda can only be used in one account; there's no possibility to utilize it in another account."
"The product could make the process of integration easier."
"The setup was pretty complex because there were many steps. For me, it was complex because I was somewhat new at it. It could be easier for someone who has done it a bunch of times. I just found that it was a very dense user experience. There's a lot going on during setup."
"The solution could be improved by providing better graphics and including support for UI and UX testing."
"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 UI should be a little bit better from a usability perspective."
"The solution offers a free trial, however, it is too short."
"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 initial setup is complex."
"Early in the process, we had some issues with stability."
"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."
AWS Lambda is ranked 1st in Compute Service with 70 reviews while Azure Stream Analytics is ranked 4th in Streaming Analytics with 22 reviews. AWS Lambda is rated 8.6, while Azure Stream Analytics is rated 8.2. The top reviewer of AWS Lambda writes "An easily scalable solution with a variety of use cases and valuable event-based triggers". On the other hand, the top reviewer of Azure Stream Analytics writes "Easy to set up and user-friendly, but could be priced better". AWS Lambda is most compared with AWS Batch, Amazon EC2 Auto Scaling, Apache NiFi, Apache Spark and Amazon Elastic Inference, whereas Azure Stream Analytics is most compared with Amazon Kinesis, Databricks, Amazon MSK, Apache Flink and Instaclustr Managed Apache Kafka.
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.
