- Home
- ...
- Big Data Processing And Distribution Systems
- Google Cloud Dataflow
- Google Cloud Dataprep
- Google Cloud Dataflow-vs-Google Cloud Dataprep
Compare Google Cloud Dataflow and Google Cloud Dataprep 
- Users report that Google Cloud Dataflow excels in real-time data processing with a score of 9.5, making it ideal for applications requiring immediate data insights. In contrast, Google Cloud Dataprep, while strong in data preparation, does not focus on real-time capabilities, which may limit its use in time-sensitive scenarios.
- Reviewers mention that Google Cloud Dataprep shines in ease of use, scoring 9.1 compared to Dataflow's 7.9. This makes Dataprep a preferred choice for users who prioritize a user-friendly interface for data preparation tasks.
- G2 users highlight that Google Cloud Dataflow offers superior data processing capabilities with a score of 9.7, which is particularly beneficial for complex data workflows. Conversely, Dataprep's strength lies in its data quality and cleansing features, scoring 9.2, which is essential for ensuring data accuracy before analysis.
- Users on G2 report that Google Cloud Dataflow has robust integration capabilities, particularly with APIs, scoring 9.2, which facilitates seamless connectivity with various data sources. In comparison, Dataprep's integration capabilities, while good, score lower at 7.9, indicating potential limitations in connecting with diverse data environments.
- Reviewers say that Google Cloud Dataprep provides excellent data preparation features, scoring 9.2, which includes intuitive data transformation tools. Dataflow, while powerful, is more focused on processing and may require more technical expertise to achieve similar results in data preparation.
- Users report that both products have comparable quality of support, each scoring 8.3, but Dataprep users mention a slightly better experience in terms of responsiveness and helpfulness, which can be crucial for businesses needing timely assistance.
With Dataflow, I can, with the touch of a button, turn on hundreds of computers working in concert to make a task that would have taken me hours on my laptop run in minutes. I do this with virtually zero understanding of the underlying technology - all I...
I do not like that the Dataflow is limited. Also lacks REPL support.
It is visual. It does not need coding when you are changing and correcting errors in your data. And i usually like products by Google because of their good service. You also can use any size of data.
The model pricing and the cost of the licenses. In the past, when it was free, many clients adopted the tool and spread its use among the users of the organizations and the technical support was easier to work with Google directly than with Trifacta.
With Dataflow, I can, with the touch of a button, turn on hundreds of computers working in concert to make a task that would have taken me hours on my laptop run in minutes. I do this with virtually zero understanding of the underlying technology - all I...
It is visual. It does not need coding when you are changing and correcting errors in your data. And i usually like products by Google because of their good service. You also can use any size of data.
I do not like that the Dataflow is limited. Also lacks REPL support.
The model pricing and the cost of the licenses. In the past, when it was free, many clients adopted the tool and spread its use among the users of the organizations and the technical support was easier to work with Google directly than with Trifacta.
