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  3. Google Cloud Dataflow
Logo of Google Cloud Dataflow

Google Cloud Dataflow

byGoogle
in
4.6
2024
Market Presence: Event Stream Processing, Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)

Overview

Product Information on Google Cloud Dataflow

Updated 13th October 2025

What is Google Cloud Dataflow?

Google Cloud Dataflow is a fully managed software designed for stream and batch data processing. It enables users to develop and execute a wide range of data processing patterns, including ETL, analytics, and real-time computation, using a unified programming model. The software automatically manages resources, workload distribution, and performance optimization, allowing for efficient data pipeline deployment and scaling. Google Cloud Dataflow supports integration with other data tools and cloud storage services, providing features such as parallel processing, job monitoring, and fault tolerance. It addresses the business need for processing large and diverse datasets efficiently, which supports analytics and data-driven decision-making.

Google Cloud Dataflow Pricing

Google Cloud Dataflow software uses a pay-as-you-go pricing model based on the volume of data processed and resources consumed including CPU, memory usage, and storage. Charges are incurred according to the actual processing and throughput, with separate costs for streaming and batch data pipelines. There is no upfront commitment required and users are billed monthly according to usage.

Overall experience with Google Cloud Dataflow

IT SPECIALIST
50M - 250M USD, Services (non-Government)
FAVORABLE

“Google Cloud Dataflow Enables Unified Data Pipelines and Automated Resource Scaling.”

5.0
Aug 13, 2025
Google Cloud Dataflow offers a scalable and cost-efficient way to build data pipelines and run them in real-time, and also offers data processing. The platform automates data cluster management and data infrastructure provisioning. It is a great tool for work rebalancing and data autoscaling.
Project Engineer
250M - 500M USD, Real Estate
CRITICAL

“"Google Cloud Dataflow : Scalable Streamlined Data Processing for Project Efficiency"”

3.0
Sep 17, 2023
It enhances our data processing capabilities. It optimize our data operations and it gives more efficient outcomes,

Badges

Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.
2024
For Market:
Event Stream Processing

About Company

Company Description

Updated 25th July 2024

Googlers is a company that creates products intended to create opportunities for an extensive audience, regardless of their location across the globe. The company values diverse perspectives, imaginations and non-conformity to predefined norms and impossibilities. The goal is to build products while incorporating uniqueness of each individual involved in this process, aiming to make their products accessible and useful to all.

Company Details

Updated 11th November 2024
Company type
Public
Year Founded
1998
Head office location
Mountain View, CA, United States
Annual Revenue
30B+ USD
Website
www.google.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Reviewer Insights for: Google Cloud Dataflow
Performance of Google Cloud Dataflow Across Market Features

Google Cloud Dataflow Likes & Dislikes

Like

Google Cloud Dataflow is a unified programming model that allows IT teams to write executable data pipelines for streaming and batch data. It provides automatic resource scaling based on workload demands. Google Cloud Dataflow offers low latency for data streaming and reduces operational overheads.

Like

It is a ease of use and seamless integration with our workflow. It streams the data processing , adapting resources to workload demands automatically.

Like

Integration with Google Cloud ecosystem such as Big Query and Cloud Storage. Optimization of operational resources. Streamlined Workflows.

Dislike

I have not identified any major issues with Google Cloud Dataflow.

Dislike

It is complexity of debugging and it monitor is draw back. We need to often troubleshoots issues and closely monitor data processing pipelines. Even though it provides a range of tools and integrations for setting up is challenging and configuring is complicated.

Dislike

Less flexibility for customization. Huge learning curve for beginners. Deployment took some time.

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Peer Discussions

Google Cloud Dataflow Reviews and Ratings

Showing data for 134 ratings and reviews for Event Stream Processing market. View all 162 ratings and reviews across markets for a complete picture.

4.6

(134 Ratings)

Rating Distribution

5 Star
51%
4 Star
44%
3 Star
4%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.5

Integration & Deployment

4.5

Service & Support

4.4

Product Capabilities

4.6

Filter Reviews
Sort By:
Most helpful
Last 12 Months
Star Rating
Reviewer Type
Reviewer's Company Size
Reviewer's Industry
Reviewer's Region
Reviewer's Job Function
  • IT SPECIALIST
    50M-1B USD
    Services (non-Government)
    Review Source

    Google Cloud Dataflow Enables Unified Data Pipelines and Automated Resource Scaling.

    5.0
    Aug 13, 2025
    Google Cloud Dataflow offers a scalable and cost-efficient way to build data pipelines and run them in real-time, and also offers data processing. The platform automates data cluster management and data infrastructure provisioning. It is a great tool for work rebalancing and data autoscaling.
  • MANAGER
    1B-10B USD
    Healthcare and Biotech
    Review Source

    Integration With Google Ecosystem and Streamlined Workflows

    5.0
    Dec 3, 2025
    Google Cloud Dataflow offers a solid, seamless infrastructure that reduces duplicated logic across systems and optimizes resources.
  • CLOUD ENGINEER
    50M-1B USD
    IT Services
    Review Source

    Discovering Google Cloud Dataflow: Your Key to Data Transformation

    4.0
    Jan 20, 2025
    Google cloud dataflow is a managed product from google, it use to create the data pipeline for the data transformation and the ingestion for the pipeline. we have some real time for time loads. the pipeline can be automated and run the job as per requirement
  • SOFTWARE DEVELOPER
    50M-1B USD
    Finance (non-banking)
    Review Source

    Great Scope and Scalability in long run

    4.0
    Feb 22, 2024
    It is quite flexible and easy to collaborate with other google cloud products. Integration is the key feature as we can link many software and analyze the data extracted from them.
  • IT SERVICE DESK MANAGER
    50M-1B USD
    Retail
    Review Source

    Manage services easily in real time!

    4.0
    Feb 2, 2024
    It helps to simplify operations and manage, transform data in a very special way. It also offers variety of tools allowing to scale at functional level. The system works very quickly and can handle large amounts of data/documents.
...
Showing Result 1-5 of 142

Recommended Gartner Research

  • Market Guide for Event Stream Processing

Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

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