Apache Pulsar vs Google Cloud Dataflow comparison

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

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

"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."

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

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

"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."

"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."

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

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

"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."

"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."

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

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

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

"The solution is cost-effective."

"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."

"The solution is not very expensive."

"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 tool is cheap."

"Google Cloud is slightly cheaper than AWS."

"Google Cloud Dataflow is a cheap solution."