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."The solution is highly scalable."
"AWS Lambda's best features are log analysis and event triggering and actioning."
"The most valuable features are event-based triggers. They're really good for a reactive style when you want things to happen as soon as something else happens."
"The most valuable feature is that it scans the cloud system and if they are any security anomalies it triggers an email."
"It enables the launch of thousands of instances simultaneously,"
"AWS Lambda is serverless."
"The most valuable feature is that there is no need to implement it in a server because it is a service."
"Because AWS Lambda is serverless, server configuration is not required, and we can run it directly anywhere."
"The way it organizes data into tables and dashboards is very helpful."
"We find the query editor feature of this solution extremely valuable for our business."
"It provides the capability to streamline multiple output components."
"The solution's technical support is good."
"The solution has a lot of functionality that can be pushed out to companies."
"Technical support is pretty helpful."
"Provides deep integration with other Azure resources."
"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."
"It can be a bit difficult to switch between accounts when creating services for customers."
"The user-friendliness of the solution could be improved."
"The product needs some updating as far as ease-of-customization and configuration opportunities to work with solutions outside of the cloud."
"If it is a specific ETL process or a long-term one, then AWS Lambda is not a good option."
"The automation with other Amazon products could be better."
"The metrics and reporting for this solution could be improved."
"If you're running a new application with a significant load, you need to be prepared for potential bottlenecks."
"Lambda has limitations on the amount of memory you can use and is not a good solution for long running processes."
"Early in the process, we had some issues with stability."
"The solution’s customer support could be improved."
"The solution's interface could be simpler to understand for non-technical people."
"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."
"The UI should be a little bit better from a usability perspective."
"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 solution doesn't handle large data packets very efficiently, which could be improved upon."
"The solution offers a free trial, however, it is too short."
AWS Lambda is ranked 1st in Compute Service with 70 reviews while Azure Stream Analytics is ranked 3rd 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 IBM Streams.
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.
