Google Cloud Dataflow Reviews, Competitors and Pricing

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.

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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.