We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The most valuable feature is that it scans the cloud system and if they are any security anomalies it triggers an email."
"The ease and speed of developing the services using any available language is the most valuable feature."
"It's a serverless solution which is the best feature. It helps us because it offers free aspects. From the infrastructure perspective, it helps us manage costs. There is no overhead of estimating how much infrastructure we're going to need. We can focus on building the business functionality that we want to build."
"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."
"The solution is designed very well. You don't need to keep a server up. You just need some router to route your API request and Lambda provides a very well-designed feature to process the request."
"Amazon takes care of the scalability. That's the right way. It's automatic and it's fully managed. That's one benefit of Lambda."
"The basic feature that I like is that there is no server installation. It also has good support for various languages, such as Java, .NET, C#, and Python."
"The solution is highly scalable."
"Provides deep integration with other Azure resources."
"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."
"I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"The solution has a lot of functionality that can be pushed out to companies."
"Technical support is pretty helpful."
"I like the way the UI looks, and the real-time analytics service is aligned to this. That can be helpful if I have to use this on a production service."
"The running time of AWS Lambda runs fine. It takes around five minutes but it would be great if that time could be extended."
"The product needs some updating as far as ease-of-customization and configuration opportunities to work with solutions outside of the cloud."
"If you are setting it up on hybrid solution, there is a lot of work that needs to go in."
"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."
"We need to better understand Lambda for different scenarios. We need some joint effort between Amazon and the users to have the users identify how they can really leverage Lambda. It's not about Lambda itself; it's about the practice, the guidance. There needs to be very good documentation. From the user perspective, what exists now is not always enough."
"I think that perhaps Lambda could explore its functionality more."
"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."
"The user-friendliness of the solution could be improved."
"If something goes wrong, it's very hard to investigate what caused it and why."
"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."
"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 offers a free trial, however, it is too short."
"Early in the process, we had some issues with stability."
"Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure."
"AWS is slightly more expensive than Azure."
"Its pricing is on the higher side."
"The price of the solution is reasonable and it is a pay-per-use model. It is very good for cost optimization."
"The cost is based on runtime."
"The fees are volume-based."
"AWS Lambda is inexpensive."
"The cost of this solution is less than competitors such as Amazon or Google Cloud."
AWS Lambda is a compute service that lets you run code without provisioning or managing servers. AWS Lambda executes your code only when needed and scales automatically, from a few requests per day to thousands per second. You pay only for the compute time you consume - there is no charge when your code is not running. With AWS Lambda, you can run code for virtually any type of application or backend service - all with zero administration. AWS Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, code monitoring and logging. All you need to do is supply your code in one of the languages that AWS Lambda supports (currently Node.js, Java, C# and Python).
You can use AWS Lambda to run your code in response to events, such as changes to data in an Amazon S3 bucket or an Amazon DynamoDB table; to run your code in response to HTTP requests using Amazon API Gateway; or invoke your code using API calls made using AWS SDKs. With these capabilities, you can use Lambda to easily build data processing triggers for AWS services like Amazon S3 and Amazon DynamoDB process streaming data stored in Amazon Kinesis, or create your own back end that operates at AWS scale, performance, and security.
AWS Lambda is ranked 2nd in Compute Service with 16 reviews while Azure Stream Analytics is ranked 5th in Streaming Analytics with 7 reviews. AWS Lambda is rated 8.6, while Azure Stream Analytics is rated 8.0. The top reviewer of AWS Lambda writes "Programming is getting much easier and does not need a lot of configuration ". On the other hand, the top reviewer of Azure Stream Analytics writes "A serverless scalable event processing engine with a valuable IoT feature". AWS Lambda is most compared with AWS Batch, Apache NiFi, Apache Spark, Apache Storm and Google Cloud Dataflow, whereas Azure Stream Analytics is most compared with Databricks, Apache Spark, Apache Flink, Apache Spark Streaming and Amazon Kinesis.
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.