Head of Data and Analytics at a tech services company with 201-500 employees
Real User
2022-06-28T15:57:58Z
Jun 28, 2022
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.
What is Streaming Analytics? Streaming analytics, also known as event stream processing (ESP), refers to the analyzing and processing of large volumes of data through the use of continuous queries. Traditionally, data is moved in batches. While batch processing may be an efficient method for handling huge pools of data, it is not suitable for time-sensitive, “in-motion” data that could otherwise be streamed, since that data can expire by the time it is processed. By using streaming...
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 scalability and connectivity.
Google Cloud Dataflow is useful for streaming and data pipelines.
It is a scalable solution.
The best feature of Google Cloud Dataflow is its practical connectedness.
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 solution allows us to program in any language we desire.
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.