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."Their tech support is amazing; they are very good, both on and off-site."
"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"The design of the product is extremely well built and it is highly configurable."
"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."
"Confluence's greatest asset is its user-friendly interface, coupled with its remarkable ability to seamlessly integrate with a vast range of other solutions."
"The most valuable is its capability to enhance the documentation process, particularly when creating software documentation."
"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."
"Google Cloud Dataflow is useful for streaming and data pipelines."
"It is a scalable solution."
"The service is relatively cheap compared to other batch-processing engines."
"The product's installation process is easy...The tool's maintenance part is somewhat easy."
"The best feature of Google Cloud Dataflow is its practical connectedness."
"The solution allows us to program in any language we desire."
"The most valuable features of Google Cloud Dataflow are scalability and connectivity."
"It could be improved by including a feature that automatically creates a new topic and puts failed messages."
"They should remove Zookeeper because of security issues."
"there is room for improvement in the visualization."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"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."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"The formatting aspect within the page can be improved and more powerful."
"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."
"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."
"The technical support has slight room for improvement."
"The deployment time could also be reduced."
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.
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.
