Aiven for Apache Kafka vs. Spark Streaming
A side-by-side comparison based on G2 review data.
| Metric | Aiven for Apache Kafka | Spark Streaming |
|---|---|---|
| Overall rating | 4.3 | 4.2 |
| Review count | 245 | 40 |
| Ease of use | 8.8 | 8.4 |
| Ease of setup | 8.7 | 7.9 |
| Quality of support | 8.7 | 8.8 |
| Meets requirements | 8.6 | 9.1 |
| NPS | 47.698745 | 39.473684 |
| Small Business | 30.6% | 30.8% |
| Mid-Market | 46.6% | 43.6% |
| Enterprise | 22.8% | 25.6% |
| Total page views | 379 | 74 |
| Total LLM citations | 3,112 | 66 |
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.
- Setup Ease
- Ease of Use
- Scaling
- Management Ease
- Reliability
- Customer Support
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.