Google Cloud Dataflow costs are primarily driven by compute resources (worker type and count) and data volume. However, other factors like pipeline complexity also contribute significantly to the total cost.
Head of Data and Analytics at a tech services company with 201-500 employees
Real User
2022-06-28T15:57:58Z
Jun 28, 2022
The price of the solution depends on many factors, such as how they pay for tools in the company and its size. I rate the price of Google Cloud Data Flow a two out of five.
Google Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.
Pricing is normal. It is part of a package received from Google, and they are not charging us too high.
Google Cloud Dataflow costs are primarily driven by compute resources (worker type and count) and data volume. However, other factors like pipeline complexity also contribute significantly to the total cost.
The solution is not very expensive.
On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a seven to eight out of ten.
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.
The solution is cost-effective.
Google Cloud Dataflow is a cheap solution.
The tool is cheap.
Google Cloud is slightly cheaper than AWS.
The solution is cheap compared to other similar products and emphasizes many features compared to many other streaming engines.
The price of the solution depends on many factors, such as how they pay for tools in the company and its size. I rate the price of Google Cloud Data Flow a two out of five.