G2 Vendor Directory

Google Cloud Dataflow vs. Confluent

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

MetricGoogle Cloud Dataflow

by Google

Confluent

by IBM

Overall rating4.24.4
Review count44117
Ease of use8.38.6
Ease of setup8.28.3
Quality of support8.68.5
Meets requirements9.18.9
NPS42.85714359.292035
Small Business36.4%34.2%
Mid-Market31.8%29.9%
Enterprise31.8%35.9%
Total page views219757
Total LLM citations2727,445

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

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