We performed a comparison between Confluent 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."The monitoring module is impressive."
"I would rate the scalability of the solution at eight out of ten. We have 20 people who use Confluent in our organization now, and we hope to increase usage in the future."
"The documentation process is fast with the tool."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"Their tech support is amazing; they are very good, both on and off-site."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"The best feature of Google Cloud Dataflow is its practical connectedness."
"Google Cloud Dataflow is useful for streaming and data pipelines."
"The solution allows us to program in any language we desire."
"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."
"The product's installation process is easy...The tool's maintenance part is somewhat easy."
"The support team is good and it's easy to use."
"The service is relatively cheap compared to other batch-processing engines."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"The Schema Registry service could be improved. I would like a bigger knowledge base of other use cases and more technical forums. It would be good to have more flexible monitoring features added to the next release as well."
"It could be improved by including a feature that automatically creates a new topic and puts failed messages."
"The formatting aspect within the page can be improved and more powerful."
"There is no local support team in Saudi Arabia."
"Confluent has a good monitoring tool, but it's not customizable."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"There are certain challenges regarding the Google Cloud Composer which can be improved."
"They should do a market survey and then make improvements."
"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."
"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 authentication part of the product is an area of concern where improvements are required."
"The deployment time could also be reduced."
"The solution's setup process could be more accessible."
Confluent is ranked 4th in Streaming Analytics with 19 reviews while Google Cloud Dataflow is ranked 7th in Streaming Analytics with 10 reviews. Confluent is rated 8.4, while Google Cloud Dataflow is rated 7.8. The top reviewer of Confluent writes "Has good technical support services and a valuable feature for real-time data streaming ". On the other hand, the top reviewer of Google Cloud Dataflow writes "Easy to use for programmers, user-friendly, and scalable". Confluent is most compared with Amazon MSK, Amazon Kinesis, Databricks, AWS Glue and Oracle GoldenGate, whereas Google Cloud Dataflow is most compared with Databricks, Apache NiFi, Amazon MSK, Amazon Kinesis and Spring Cloud Data Flow. See our Confluent vs. Google Cloud Dataflow report.
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