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 most valuable feature of AWS Lambda, from a conceptual point, is its functions. For example, it's mathematical templates into which you can write, and create your solution. You write small pieces of a solution under given parameters."
"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."
"We have no issues with the technical support."
"The automation feature is valuable."
"The installation and configuration of the solution is straightforward."
"By using Lambda, we can use Python code and the Boto3 solution."
"AWS Lambda is a stable solution."
"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 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."
"Google Cloud Dataflow is useful for streaming and data pipelines."
"The support team is good and it's easy to use."
"The best feature of Google Cloud Dataflow is its practical connectedness."
"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 most valuable features of Google Cloud Dataflow are scalability and connectivity."
"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."
"The setup was pretty complex because there were many steps. For me, it was complex because I was somewhat new at it. It could be easier for someone who has done it a bunch of times. I just found that it was a very dense user experience. There's a lot going on during setup."
"The security needs to be improved."
"The deployment process is a bit complex, so it could be simplified to make it easier for beginners to deploy."
"I would like to see the five zero four AWS Lambda invocation fixed. This is basically a time-out error."
"I wish to see better execution time in the next release."
"There are sometimes issues following an update."
"Lambda has limitations on the amount of memory you can use and is not a good solution for long running processes."
"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."
"The solution's setup process could be more accessible."
"They should do a market survey and then make improvements."
"The authentication part of the product is an area of concern where improvements are required."
"Google Cloud Dataflow should include a little cost optimization."
"The deployment time could also be reduced."
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 Amazon EC2, 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.
