Associate Consultant (Data Engineer) at MediaAgility
Real User
Top 5
2023-12-19T09:27:49Z
Dec 19, 2023
Google Cloud Dataflow is an extended or managed version of the open-source Apache Beam service. Google Cloud Dataflow is a cloud-based solution. I would recommend Google Cloud Dataflow to other users for batch pipelines. Overall, I rate Google Cloud Dataflow an eight out of ten.
Principal Solution Architect at Tech Mahindra Limited
Real User
Top 10
2023-10-11T07:31:07Z
Oct 11, 2023
I am using the latest version of Google Cloud Dataflow. I recommend users ensure optimal cloud cost when implementing anything so that cost doesn't increase. Overall, I rate Google Cloud Dataflow an eight out of ten.
I would rate the solution an eight out of ten. The product comes with a testing suite. You need to write the test and run it locally and then only deploy it since there are chances of failure.
System Architect at a financial services firm with 5,001-10,000 employees
Real User
Top 20
2023-02-24T12:43:00Z
Feb 24, 2023
I give the solution an eight out of ten. The solution is very good for someone who likes the code and who wants to use Spark, a type of programming language, which is Veeam, but the only challenge with this one is we have a learning curve.
I rate the solution a six out of ten. The solution is good, but notifications for error messages could be more detailed, and deployment times could be reduced.
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 tool's maintenance part is somewhat easy. I rate the tool a seven out of ten.
Overall, I would rate the solution an eight out of ten.
Google Cloud Dataflow is an extended or managed version of the open-source Apache Beam service. Google Cloud Dataflow is a cloud-based solution. I would recommend Google Cloud Dataflow to other users for batch pipelines. Overall, I rate Google Cloud Dataflow an eight out of ten.
I am using the latest version of Google Cloud Dataflow. I recommend users ensure optimal cloud cost when implementing anything so that cost doesn't increase. Overall, I rate Google Cloud Dataflow an eight out of ten.
I rate the solution an eight out of ten.
I would recommend Google Cloud Dataflow to other users. Overall, I rate Google Cloud Dataflow an eight out of ten.
I would rate the solution an eight out of ten. The product comes with a testing suite. You need to write the test and run it locally and then only deploy it since there are chances of failure.
I give the solution an eight out of ten. The solution is very good for someone who likes the code and who wants to use Spark, a type of programming language, which is Veeam, but the only challenge with this one is we have a learning curve.
I rate the solution a six out of ten. The solution is good, but notifications for error messages could be more detailed, and deployment times could be reduced.
I rate Google Cloud Dataflow an eight out of ten.