Apache Pulsar vs Google Cloud Dataflow comparison

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

"It is a scalable solution."

"The service is relatively cheap compared to other batch-processing engines."

"I would rate the overall solution a ten out of ten."

"The best feature of Google Cloud Dataflow is its practical connectedness."

"It allows me to test solutions locally using runners like Direct Runner without having to start a Dataflow job, which can be costly."

"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 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."

"The technical support has slight room for improvement."

"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 Dataflow should include a little cost optimization."

"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."

"Promoting the technology more broadly would help increase its adoption."

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

"The solution's setup process could be more accessible."

"The authentication part of the product is an area of concern where improvements are required."

"Google Cloud Dataflow is a cheap solution."

"The tool is cheap."

"Google Cloud is slightly cheaper than AWS."

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

"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 solution is not very expensive."

"The solution is cost-effective."