Apache Flink vs. Spark
A side-by-side comparison based on G2 review data.
| Metric | Apache Flink | Spark |
|---|---|---|
| Overall rating | 4.4 | 4.3 |
| Review count | 17 | 54 |
| Ease of use | 8.9 | 8.8 |
| Ease of setup | 8.9 | 8.6 |
| Quality of support | 8.7 | 7.9 |
| Meets requirements | 9.7 | 8.6 |
| NPS | 52.941176 | 57.407407 |
| Small Business | 29.4% | 27.8% |
| Mid-Market | 17.6% | 31.5% |
| Enterprise | 52.9% | 40.7% |
| Total page views | 50 | 124 |
| Total LLM citations | 118 | 157 |
Apache Flink
Apache Flink is an open-source stream processing framework for distributed, high-performing, always-available, and accurate data streaming applications.
Spark
Spark Framework is a lightweight and expressive web framework for Java and Kotlin, designed to facilitate rapid development of web applications and microservices. It offers a simple and intuitive API that allows developers to handle HTTP requests and responses with minimal boilerplate code, making it ideal for building RESTful APIs and web applications efficiently. Key Features and Functionality: - Minimalistic and Lightweight: Spark Framework is designed to be extremely lightweight, offering just the core functionality needed to handle HTTP requests and responses.