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 cool thing about AWS Lambda is that AWS does all the management. For compression, it is all about making the data small and then making it regular size again. We have an encode function and a decode function. AWS Lambda schedules each of those for us. It has a load balancer and all the fancy stuff, depending on the demand. The most valuable part of AWS Lambda is that I only need to write the software. I need to write two functions, and my cloud developer turns them into two AWS Lambda instances. That's it."
"One of the most valuable features of AWS Lambda is the performance. Lambda is very technical and has very high performance, as well as good real-time performance."
"We moved our users into the Amazon Cognito pool, so it helps us to standardize our security practices, approaches, etc. We can customize Lambda for authentication to integrate it with API Gateway and other services."
"The ease and speed of developing the services using any available language is the most valuable feature."
"The tool scales automatically based on the number of incoming requests."
"The solution runs on the latest cloud technology so it is easy to deploy cloud-native projects."
"The solution offers good performance."
"Lambda makes the administration of all our services related to Amazon really easy."
"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's a product that can scale."
"The most valuable features are the IoT hub and the Blob storage."
"The solution's most valuable feature is its ability to create a query using SQ."
"We use Azure Stream Analytics for simulation and internal activities."
"The life cycle, report management and crash management features are great."
"The way it organizes data into tables and dashboards is very helpful."
"There is room for improvement in user-friendliness. When comparing this solution to others it is not as user-friendly."
"Lambda would benefit from a debugging feature as well."
"One area of improvement is to include support for more programming languages. AWS Lambda does not support a lot of programming languages. You have to write the Lambda functions in a certain programming language. We are using C++. My developer knows a couple of other languages. Python is his favorite language, but Python is not supported in AWS Lambda."
"Its price should be improved. Its pricing is on the higher side. I am not sure if it currently supports the Go language. If it doesn't support the Go language, they can introduce it."
"I would like to see some better integration with other providers, like Cohesity, Druva, and others. I also think the Lambda interface could be better."
"The user-friendliness of the solution could be improved."
"AWS Lambda has some size limitations in the code line, you can't do a couple of functions to do the job."
"I think that perhaps Lambda could explore its functionality more."
"The solution offers a free trial, however, it is too short."
"I would like to have a contact individual at Microsoft."
"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 UI should be a little bit better from a usability perspective."
"Its features for event imports and architecture could be enhanced."
"The solution’s customer support could be improved."
"The initial setup is complex."
"The collection and analysis of historical data could be better."
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.
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