G2 Vendor Directory

Spark Streaming vs. Aiven for Apache Kafka

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

MetricSpark Streaming

by The Apache Software Foundation

Aiven for Apache Kafka

by Aiven

Overall rating4.24.3
Review count40245
Ease of use8.48.8
Ease of setup7.98.7
Quality of support8.88.7
Meets requirements9.18.6
NPS39.47368447.698745
Small Business30.8%30.6%
Mid-Market43.6%46.6%
Enterprise25.6%22.8%
Total page views74379
Total LLM citations663,112

Spark Streaming

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part.

Pros

    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