We performed a comparison between AWS Lambda and Google Cloud Dataflow 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."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 feature I found most valuable about Lambda is the fact that it's serverless."
"We have no issues with the technical support."
"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 automation feature is valuable."
"The programming language and the integration with other AWS services are the most valuable features."
"The ease and speed of developing the services using any available language is the most valuable feature."
"The ability to scale up and down very quickly helps because we can maintain our system performance and business at a low cost."
"It is a scalable solution."
"Google Cloud Dataflow is useful for streaming and data pipelines."
"I don't need a server running all the time while using the tool. It is also easy to setup. The product offers a pay-as-you-go service."
"The support team is good and it's easy to use."
"The product's installation process is easy...The tool's maintenance part is somewhat easy."
"The most valuable features of Google Cloud Dataflow are scalability and connectivity."
"The service is relatively cheap compared to other batch-processing engines."
"The best feature of Google Cloud Dataflow is its practical connectedness."
"There were some timeout issues with AWS Lambda as the options provided didn't suit our business cases."
"I would like the layers to have a bigger volume. I would like to be able to add more. I don't want to be limited by the layer."
"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."
"It can be a bit difficult to switch between accounts when creating services for customers."
"The deployment process is a bit complex, so it could be simplified to make it easier for beginners to deploy."
"AWS Lambda should support additional languages."
"Lambda has limitations on the amount of memory you can use and is not a good solution for long running processes."
"There's room for improvement in the solution's warm start, which refers to the minimum time it takes to start up a Lambda function if you haven't been running it."
"The deployment time could also be reduced."
"Google Cloud Dataflow should include a little cost optimization."
"I would like Google Cloud Dataflow to be integrated with IT data flow and other related services to make it easier to use as it is a complex tool."
"The authentication part of the product is an area of concern where improvements are required."
"The technical support has slight room for improvement."
"The solution's setup process could be more accessible."
"They should do a market survey and then make improvements."
"When I deploy the product in local errors, a lot of errors pop up which are not always caught. The solution's error logging is bad. It can take a lot of time to debug the errors. It needs to have better logs."
AWS Lambda is ranked 1st in Compute Service with 70 reviews while Google Cloud Dataflow is ranked 7th in Streaming Analytics with 10 reviews. AWS Lambda is rated 8.6, while Google Cloud Dataflow is rated 7.8. 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 Google Cloud Dataflow writes "Easy to use for programmers, user-friendly, and scalable". AWS Lambda is most compared with AWS Batch, Amazon EC2 Auto Scaling, Apache NiFi, Apache Spark and Azure Stream Analytics, whereas Google Cloud Dataflow is most compared with Databricks, Apache NiFi, Amazon MSK, Amazon Kinesis and Azure Stream Analytics.
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.