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."Lambda makes the administration of all our services related to Amazon really easy."
"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."
"It's also suitable for companies of any size. For example, we're a large enterprise, and we've used Lambda without any problems in the last 10 months."
"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."
"It is easy to use."
"The most valuable feature of AWS Lambda is that you can trigger and run jobs instantly, and after you complete the job, that function is either destroyed or stopped automatedly."
"AWS Lambda is interlinked with CloudWatch. When we have any errors we can directly go there and check the CloudWatch logs. Additionally, we can run it very fast and we can increase the RAM size and other components."
"We use AWS Lambda because it provides a solution for our needs without requiring us to manage our infrastructure. With the tool, we only pay for the resources we use. Additionally, it is straightforward to implement and integrates with other services like API Gateway."
"The best feature of Google Cloud Dataflow is its practical connectedness."
"The most valuable features of Google Cloud Dataflow are scalability and connectivity."
"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."
"Google Cloud Dataflow is useful for streaming and data pipelines."
"It is a scalable solution."
"The product's installation process is easy...The tool's maintenance part is somewhat easy."
"The service is relatively cheap compared to other batch-processing engines."
"It would be ideal if we could use the solution across different platforms."
"I would like to see more integration with other platforms."
"They should work on the solution's stability and pricing."
"Its performance can be improved. There should also be more dynamic security permissions."
"It can be a bit difficult to switch between accounts when creating services for customers."
"AWS Lambda can improve its file system-based sharing capabilities and restrictions."
"The overall performance of this solution could be improved. We would also like to have better integration with other AWS features."
"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."
"Google Cloud Dataflow should include a little cost optimization."
"The solution's setup process could be more accessible."
"There are certain challenges regarding the Google Cloud Composer which can be improved."
"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."
"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."
"Google Cloud Data Flow can improve by having full simple integration with Kafka topics. It's not that complicated, but it could improve a bit. The UI is easy to use but the experience could be better. There are other tools available that do a better job."
"They should do a market survey and then make improvements."
"The technical support has slight room for improvement."
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.
