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Google Cloud Dataflow pros and cons

Vendor: Google
4.0 out of 5
200 followers
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Pros & Cons summary

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Prominent pros & cons

PROS

Google Cloud Dataflow offers valuable features such as simple integration and ease of use when utilizing the complete stack.
Its flexibility allows programming in any desired language, making it straightforward for scriptwriters and programmers.
The scalable service provides practical connectivity for streaming and data pipelines.
Google Cloud Dataflow offers a cost-effective pay-as-you-go service with no need for continuous server uptime.
Users appreciate the helpful support team and the convenient installation process.

CONS

Google Cloud Dataflow can improve by having full simple integration with Kafka topics.
Error logging is inadequate, leading to difficulty and time consumption in debugging.
Integration with IT data flow and related services is needed for ease of use.
The setup process could be made more accessible.
Authentication requires improvements as an area of concern.
 

Google Cloud Dataflow Pros review quotes

Jana Polianskaja - PeerSpot reviewer
Feb 9, 2025
It allows me to test solutions locally using runners like Direct Runner without having to start a Dataflow job, which can be costly.
Jose Pineda - PeerSpot reviewer
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.
Darasimi Ajewole - PeerSpot reviewer
Nov 26, 2022
The service is relatively cheap compared to other batch-processing engines.
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reviewer2086836 - PeerSpot reviewer
Feb 24, 2023
The solution allows us to program in any language we desire.
Tamer Talal - PeerSpot reviewer
Feb 14, 2024
The product's installation process is easy...The tool's maintenance part is somewhat easy.
Arpan Kushwaha - PeerSpot reviewer
Dec 19, 2023
The most valuable features of Google Cloud Dataflow are scalability and connectivity.
Amitabha Chakraborty - PeerSpot reviewer
Jun 30, 2023
It is a scalable solution.
Asish Govind - PeerSpot reviewer
Oct 11, 2023
Google Cloud Dataflow is useful for streaming and data pipelines.
Aarshay Jain - PeerSpot reviewer
May 23, 2023
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.
Bunyamin Altınsoy - PeerSpot reviewer
Jun 27, 2023
The best feature of Google Cloud Dataflow is its practical connectedness.
 

Google Cloud Dataflow Cons review quotes

Jana Polianskaja - PeerSpot reviewer
Feb 9, 2025
Promoting the technology more broadly would help increase its adoption.
Jose Pineda - PeerSpot reviewer
Jun 28, 2022
Google Cloud Data Flow can improve by having full simple integration with Kafka topics. It's not that complicated, but it could improve a bit. The UI is easy to use but the experience could be better. There are other tools available that do a better job.
Darasimi Ajewole - PeerSpot reviewer
Nov 26, 2022
The deployment time could also be reduced.
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837,501 professionals have used our research since 2012.
reviewer2086836 - PeerSpot reviewer
Feb 24, 2023
The technical support has slight room for improvement.
Tamer Talal - PeerSpot reviewer
Feb 14, 2024
The authentication part of the product is an area of concern where improvements are required.
Arpan Kushwaha - PeerSpot reviewer
Dec 19, 2023
Google Cloud Dataflow should include a little cost optimization.
Amitabha Chakraborty - PeerSpot reviewer
Jun 30, 2023
The solution's setup process could be more accessible.
Asish Govind - PeerSpot reviewer
Oct 11, 2023
There are certain challenges regarding the Google Cloud Composer which can be improved.
Aarshay Jain - PeerSpot reviewer
May 23, 2023
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.
Bunyamin Altınsoy - PeerSpot reviewer
Jun 27, 2023
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.