We performed a comparison between Amazon Kinesis and Google Cloud Dataflow based on real PeerSpot user reviews.
Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Kinesis is a fully managed program streaming application. You can manage any infrastructure. It is also scalable. Kinesis can handle any amount of data streaming and process data from hundreds, thousands of processes in every source with very low latency."
"The solution has the capacity to store the data anywhere from one day to a week and provides limitless storage for us."
"What I like about Amazon Kinesis is that it's very effective for small businesses. It's a well-managed solution with excellent reporting. Amazon Kinesis is also easy to use, and even a novice developer can work with it, versus Apache Kafka, which requires expertise."
"The most valuable feature is that it has a pretty robust way of capturing things."
"Setting Amazon Kinesis up is quick and easy; it only takes a few minutes to configure the necessary settings and start using it."
"The scalability is pretty good."
"Amazon Kinesis has improved our ROI."
"Amazon Kinesis also provides us with plenty of flexibility."
"The product's installation process is easy...The tool's maintenance part is somewhat easy."
"Google Cloud Dataflow is useful for streaming and data pipelines."
"The support team is good and it's easy to use."
"The most valuable features of Google Cloud Dataflow are scalability and connectivity."
"It is a scalable solution."
"The best feature of Google Cloud Dataflow is its practical connectedness."
"The solution allows us to program in any language we desire."
"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."
"It would be beneficial if Amazon Kinesis provided document based support on the internet to be able to read the data from the Kinesis site."
"Lacks first in, first out queuing."
"Amazon Kinesis should improve its limits."
"Snapshot from the the from the the stream of the data analytic I have already on the cloud, do a snapshot to not to make great or to get the data out size of the web service. But to stop the process and restart a few weeks later when I have more data or more available of the client teams."
"In order to do a successful setup, the person handling the implementation needs to know the solution very well. You can't just come into it blind and with little to no experience."
"Kinesis is good for Amazon Cloud but not as suitable for other cloud vendors."
"Something else to mention is that we use Kinesis with Lambda a lot and the fact that you can only connect one Stream to one Lambda, I find is a limiting factor. I would definitely recommend to remove that constraint."
"I think the default settings are far too low."
"There are certain challenges regarding the Google Cloud Composer which can be improved."
"The solution's setup process could be more accessible."
"The authentication part of the product is an area of concern where improvements are required."
"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."
"They should do a market survey and then make improvements."
"The deployment time could also be reduced."
"Google Cloud Dataflow should include a little cost optimization."
"The technical support has slight room for improvement."
Amazon Kinesis is ranked 2nd in Streaming Analytics with 21 reviews while Google Cloud Dataflow is ranked 7th in Streaming Analytics with 10 reviews. Amazon Kinesis is rated 8.0, while Google Cloud Dataflow is rated 7.8. The top reviewer of Amazon Kinesis writes "Used for media streaming and live-streaming data". On the other hand, the top reviewer of Google Cloud Dataflow writes "Easy to use for programmers, user-friendly, and scalable". Amazon Kinesis is most compared with Azure Stream Analytics, Apache Flink, Amazon MSK, Confluent and Apache Spark Streaming, whereas Google Cloud Dataflow is most compared with Databricks, Apache NiFi, Amazon MSK, Spring Cloud Data Flow and Apache Flink. See our Amazon Kinesis vs. Google Cloud Dataflow report.
See our list of best Streaming Analytics vendors.
We monitor all Streaming Analytics 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.
