---
title: Google Cloud Dataflow Reviews
meta_title: 'Google Cloud Dataflow Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 45 reviews by the users' company size, role or industry to
  find out how Google Cloud Dataflow works for a business like yours.
aggregate_rating:
  rating_value: 4.2
  review_count: 45
  scale: '5'
date_modified: '2026-07-17'
parent_category:
  name: Big Data
  url: https://www.g2.com/categories/big-data
---

# Google Cloud Dataflow Reviews
**Vendor:** Google  
**Category:** [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution)  
**Average Rating:** 4.2/5.0  
**Total Reviews:** 45
## About Google Cloud Dataflow
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed. And with its serverless approach to resource provisioning and management, you have access to virtually limitless capacity to solve your biggest data processing challenges, while paying only for what you use.



## Google Cloud Dataflow Pros & Cons
**What users like:**

- Users appreciate the **ease of use and efficiency** in building complex streaming pipelines with Google Cloud Dataflow. (1 reviews)
- Users find the **ease of use** of Google Cloud Dataflow exceptional for building and monitoring streaming pipelines. (1 reviews)
- Users appreciate the **easy management** features of Google Cloud Dataflow, simplifying complex streaming pipeline development and integrations. (1 reviews)
- Users highlight the **ease of use and integration** of Google Cloud Dataflow for processing streaming events efficiently. (1 reviews)
- Users appreciate the **ease of use and real-time monitoring** capabilities of Google Cloud Dataflow for streaming events. (1 reviews)
- Integrations (1 reviews)
- Real-time Analytics (1 reviews)
- Real-Time Processing (1 reviews)
- Speed (1 reviews)
- Streaming (1 reviews)

**What users dislike:**

- Users find the **cost** of Google Cloud Dataflow high compared to alternatives like Apache Flink, affecting affordability. (1 reviews)
- Users find Google Cloud Dataflow to be **costly** compared to alternatives like Apache Flink. (1 reviews)
- Users find the **installation difficult** , especially when implementing features like watermarks in Google Cloud Dataflow. (1 reviews)
- Users find **learning difficulty** in implementing watermarks, making Google Cloud Dataflow feel complicated and costly compared to alternatives. (1 reviews)


## Google Cloud Dataflow Discussions
  - [What is the difference between Google dataflow and Google Dataproc?](https://www.g2.com/discussions/what-is-the-difference-between-google-dataflow-and-google-dataproc)
  - [Is Google dataflow an ETL tool?](https://www.g2.com/discussions/is-google-dataflow-an-etl-tool)
  - [How does Google dataflow work?](https://www.g2.com/discussions/how-does-google-dataflow-work)
  - [What is Google dataflow used for?](https://www.g2.com/discussions/what-is-google-dataflow-used-for)

- [View Google Cloud Dataflow pricing details and edition comparison](https://www.g2.com/products/google-cloud-dataflow/reviews?page=4&qs=pros-and-cons&section=pricing&secure%5Bexpires_at%5D=2026-07-25+11%3A28%3A58+-0500&secure%5Bsession_id%5D=63f451e4-1819-48f3-9262-9ea0a48178f9&secure%5Btoken%5D=b90052114439b551b9516d19a44abb57324adfe41b80d67545b539159087577d&format=llm_user)
## Google Cloud Dataflow Integrations
  - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews)
  - [Google Cloud Pub/Sub](https://www.g2.com/products/google-cloud-pub-sub/reviews)
  - [Google Cloud Storage](https://www.g2.com/products/google-cloud-storage/reviews)

## Google Cloud Dataflow Features
**Data**
- Data Processing
- Data Sources
- Integration
- Real-Time Processing

**Database**
- Real-Time Data Collection
- Data Distribution
- Data Lake

**Analytics**
- Reporting & Analytics

**Integrations**
- Hadoop Integration
- Spark Integration

**Platform**
- Machine Scaling
- Data Preparation
- Spark Integration

**Processing**
- Cloud Processing
- Workload Processing

**Building Reports**
- Data Transformation
- Data Modeling
- WYSIWYG Report Design
- Integration APIs

**Platform**
- Mobile User Support
- Customization 
- User, Role, and Access Management
- Internationalization
- Sandbox / Test Environments
- Performance and Reliability
- Breadth of Partner Applications

## Top Google Cloud Dataflow Alternatives
  - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,327 reviews)
  - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - 4.5/5.0 (127 reviews)
  - [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews) - 4.3/5.0 (81 reviews)