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.
Streaming Analytics is crucial for processing real-time data to enhance decision-making and operational efficiency. It empowers businesses to derive actionable insights from continuous data streams.As organizations handle increasing volumes of data, Streaming Analytics solutions provide the tools to analyze and act on data in motion immediately. These solutions are designed to integrate with diverse data sources, applying algorithms and rules that allow for instant insights and responses....
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.