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."We mostly use the solution's message queues and event-driven architecture."
"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."
"The most valuable feature that we are using is the data replication between the data centers allowing us to configure a disaster recovery or software. However, is it's not mandatory to use and because most of the features that we use are from Apache Kafka, such as end-to-end encryption. Internally, we can develop our own kind of product or service from Apache Kafka."
"The most valuable feature of Confluent is the wide range of features provided. They're leading the market in this category."
"It is also good for knowledge base management."
"The design of the product is extremely well built and it is highly configurable."
"Their tech support is amazing; they are very good, both on and off-site."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"The service is relatively cheap compared to other batch-processing engines."
"The most valuable features of Google Cloud Dataflow are scalability and connectivity."
"Google Cloud Dataflow is useful for streaming and data pipelines."
"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 is a scalable solution."
"The solution allows us to program in any language we desire."
"The best feature of Google Cloud Dataflow is its practical connectedness."
"The support team is good and it's easy to use."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"In Confluent, there could be a few more VPN options."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"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."
"There is no local support team in Saudi Arabia."
"They should remove Zookeeper because of security issues."
"The pricing model should include the ability to pick features and be charged for them only."
"The product should integrate tools for incorporating diagrams like Lucidchart. It also needs to improve its formatting features. We also faced issues while granting permissions."
"The deployment time could also be reduced."
"They should do a market survey and then make improvements."
"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."
"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."
"The authentication part of the product is an area of concern where improvements are required."
"Google Cloud Dataflow should include a little cost optimization."
"There are certain challenges regarding the Google Cloud Composer which can be improved."
"The technical support has slight room for improvement."
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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