G2 Vendor Directory

Confluent vs. Google Cloud Dataflow

A side-by-side comparison based on G2 review data.

MetricConfluent

by IBM

Google Cloud Dataflow

by Google

Overall rating4.44.2
Review count11744
Ease of use8.68.3
Ease of setup8.38.2
Quality of support8.58.6
Meets requirements8.99.1
NPS59.29203542.857143
Small Business34.2%36.4%
Mid-Market29.9%31.8%
Enterprise35.9%31.8%
Total page views757219
Total LLM citations7,445272

Confluent

Today’s customers expect every digital experience to be immediate, connected, and personalized. That takes more than data at rest - it takes trusted data in motion. Confluent is the complete Data Streaming Platform for keeping data in motion from the moment business change occurs through processing, governance, and serving. Built by the original creators of Apache Kafka®, Confluent connects applications, services, and systems; processes streams in real time with Apache Flink®; and serves trusted, always-current data wherever it is needed across cloud, hybrid, and self-managed environments.

Pros

  • Streaming
  • Scaling
  • Data Integration
  • Easy Integrations
  • Features
  • User Interface

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.

Pros

  • Features
  • Real-time Analytics
  • Insights
  • Real-Time Processing
  • Easy Management
  • Speed