Apache Pulsar vs Google Cloud Dataflow comparison

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

"The integration within Google Cloud Platform is very good."

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

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

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

"It is a scalable solution."

"The support team is good and it's easy to use."

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

"Occasionally, dealing with a huge volume of data causes failure due to array size."

"The technical support has slight room for improvement."

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

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

"The deployment time could also be reduced."

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

"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."

"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 is slightly cheaper than AWS."

"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."

"Google Cloud Dataflow is a cheap solution."

"The solution is not very expensive."

"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 tool is cheap."

"The solution is cost-effective."

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