Google Cloud Dataflow
Reviews
Star rating
Rank in Event Stream Processing
Pros and cons
Pros
- Features
- Real-time Analytics
- Insights
- Real-Time Processing
- Easy Management
- Speed
Cons
- Expensive
- Cost Management
- Installation Difficulty
- Learning Difficulty
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 36.4% |
| Mid-Market | 31.8% |
| Enterprise | 31.8% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2025 Q1 | 1 | 5.0 |
Satisfaction ratings
What reviewers say
Cloud Dataflow - Best Events Streaming Platform
“Google Cloud Dataflow is extremely easy to use for processing stream of events. Building complex streaming pipelines is simple and effiicent with Dataflow. Offers real time monitoring of the streaming pipeline with important metrics such as Throughput, CPU and memory utilisation.”
Build data streaming with gcp dataflow
“- using jyupter notebook to write code and not to worry about backend services. GCP Dataflow effortlessly manages big data tasks, unifying code with Apache Beam. It's a Google Cloud team player, excelling with services like BigQuery.”
Dataflow solves the problem of ETL at scale with top tier observability
“Cloud dataflow allows you to have a daemon that performs ETL while providing top tier observability. Prior to this I was accustomed to long running jobs with poor observability, or low/no code tools that didnt allow me to configure tasks the way I wanted to using code. Dataflow ”