Google Cloud Dataflow Reviews, Competitors and Pricing

Asish Govind

Principal Solution Architect at Tech Mahindra Limited

Oct 13, 2023

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A stable solution that can be used for streaming, data pipelines, and data analytics

Pros and Cons

"Google Cloud Dataflow is useful for streaming and data pipelines."

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

What is our primary use case?

I primarily work with Google Cloud Dataflow on data analytics use cases, and my experience has been good.

What is most valuable?

Google Cloud Dataflow is useful for streaming and data pipelines.

What needs improvement?

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

For how long have I used the solution?

I have been working with Google Cloud Dataflow for two years as an implementer.

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What do I think about the stability of the solution?

I rate Google Cloud Dataflow a nine out of ten for stability.

What do I think about the scalability of the solution?

Most of our clients are medium-sized businesses.

I rate Google Cloud Dataflow an eight out of ten for scalability.

How was the initial setup?

I rate Google Cloud Dataflow an eight out of ten for the ease of its initial setup.

What about the implementation team?

Google Cloud Dataflow was deployed in a few hours.

What's my experience with pricing, setup cost, and licensing?

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.

What other advice do I have?

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.

Which deployment model are you using for this solution?

Public Cloud

Disclosure: My company has a business relationship with this vendor other than being a customer: Implementer

Aarshay Jain

ChatGPT Specialist at Stealth Mode

May 26, 2023

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A stable solution that works as a distributed data pipelines

Pros and Cons

"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."

"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."

What is our primary use case?

We use the solution as distributed data pipelines.

What is most valuable?

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.

What needs improvement?

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.

For how long have I used the solution?

I have been using the tool since 2018.

What do I think about the stability of the solution?

The product is stable.

What do I think about the scalability of the solution?

I am the single user of the solution.

How was the initial setup?

The product's setup takes time. You need to setup billing, payments, permissions, accounts, etc.

What was our ROI?

The product is worth its money.

What's my experience with pricing, setup cost, and licensing?

The tool is cheap.

What other advice do I have?

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.

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Google

Disclosure: I am a real user, and this review is based on my own experience and opinions.