G2 Vendor Directory

Google Cloud Dataflow vs. Aiven for Apache Kafka

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

MetricGoogle Cloud Dataflow

by Google

Aiven for Apache Kafka

by Aiven

Overall rating4.24.3
Review count44245
Ease of use8.38.8
Ease of setup8.28.7
Quality of support8.68.7
Meets requirements9.18.6
NPS42.85714347.698745
Small Business36.4%30.6%
Mid-Market31.8%46.6%
Enterprise31.8%22.8%
Total page views219379
Total LLM citations2723,112

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

Aiven for Apache Kafka

Aiven for Apache Kafka® is a fully managed distributed event streaming service, that can be deployed in the cloud of your choice. Aiven for Apache Kafka is ideal for event-driven applications, near-real-time data transfer and data pipelines, streaming analytics, and any use case that requires moving huge amounts of real-time data between applications and systems. With Aiven for Apache Kafka you can set up fully managed Kafka clusters in less than 10 minutes — using the Aiven web console or programmatically via Aiven’s API, CLI, Terraform provider or Kubernetes operator.

Pros

  • Setup Ease
  • Ease of Use
  • Scaling
  • Management Ease
  • Reliability
  • Customer Support