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."The solution works for small applications. It is a serverless tool that is quick to spin up. We needn’t consider anything in the bag."
"The solution is highly scalable."
"The most valuable feature of this solution is the API Gateway."
"The valuable feature of AWS Lambda is the ease of coding. It is easier to code using the solution."
"You can spin up anything instantly without any investment."
"The utilization of containers is particularly beneficial in overcoming the size limitations imposed on Lambda functions which not only allows us to work around these constraints but also contributes to the improvement and maintenance of our code."
"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."
"AWS Lambda has improved our productivity and functionality."
"The most valuable features of Google Cloud Dataflow are the integration, it's very simple if you have the complete stack, which we are using. It is overall very easy to use, user-friendly friendly, and cost-effective if you know how to use it. The solution is very flexible for programmers, if you know how to do scripts or program in Python or any other language, it's extremely easy to use."
"It is a scalable solution."
"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 service is relatively cheap compared to other batch-processing engines."
"The solution allows us to program in any language we desire."
"Google Cloud Dataflow is useful for streaming and data pipelines."
"The most valuable features of Google Cloud Dataflow are scalability and connectivity."
"The support team is good and it's easy to use."
"We'd love to see more integration potential in the future."
"Lambda's dashboard could be more user-friendly and customizable. I want the dashboard to have more information to quickly identify what functions and events are running. Also, we want to be able to add more trigger points, push notifications, and events."
"The tool changes its UI every month which is very frustrating for me. I don’t know why AWS keeps changing the UI. They can’t stick to a specific one"
"There are other similar solutions, such as Google Cloud Platform or Microsoft Azure. They might be better for small tasks."
"Amazon doesn't have enough local support based in our country."
"I have seen some drawbacks with certain integrations."
"It would be ideal if we could use the solution across different platforms."
"I would like to see more integration with other platforms."
"The technical support has slight room for improvement."
"Google Cloud Dataflow should include a little cost optimization."
"The authentication part of the product is an area of concern where improvements are required."
"There are certain challenges regarding the Google Cloud Composer which can be improved."
"The deployment time could also be reduced."
"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."
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.