Apache Pulsar vs Google Cloud Dataflow comparison

"The solution operates as a classic message broker but also as a streaming platform."

"The most valuable features of Google Cloud Dataflow are scalability and connectivity."

"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 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 solution allows us to program in any language we desire."

"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 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."

"Documentation is poor because much of it is in Chinese with no English translation."

"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."

"There are certain challenges regarding the Google Cloud Composer which can be improved."

"The deployment time could also be reduced."

"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 technical support has slight room for improvement."

"They should do a market survey and then make improvements."

"Google Cloud Dataflow should include a little cost optimization."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Google Cloud Dataflow's pricing a four out of ten."

"The price of the solution depends on many factors, such as how they pay for tools in the company and its size."

"The tool is cheap."

"Google Cloud is slightly cheaper than AWS."

"Google Cloud Dataflow is a cheap solution."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a seven to eight out of ten."

"The solution is cost-effective."

"The solution is not very expensive."