Redpanda Data Platform vs. Spark Streaming
A side-by-side comparison based on G2 review data.
| Metric | Redpanda Data Platform | Spark Streaming |
|---|---|---|
| Overall rating | 4.6 | 4.2 |
| Review count | 66 | 40 |
| Ease of use | 9.0 | 8.4 |
| Ease of setup | 9.0 | 7.9 |
| Quality of support | 9.4 | 8.8 |
| Meets requirements | 8.9 | 9.1 |
| NPS | 72.727273 | 39.473684 |
| Small Business | 21.2% | 30.8% |
| Mid-Market | 63.6% | 43.6% |
| Enterprise | 15.2% | 25.6% |
| Total page views | 718 | 74 |
| Total LLM citations | 0 | 66 |
Redpanda Data Platform
The Redpanda Data Platform is the streaming platform that simplifies building real-time AI applications. It’s a simple, fast, and secure solution that lets modern engineering teams ship streaming, analytics, and agentic AI apps without the complexity or cost of traditional Kafka-based systems. It comes with 300+ built-in connectors, Kafka-API compatibility and industry-leading data and AI governance with a Bring-Your- Own-Cloud (BYOC) deployment option. Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S.
- Customer Support
- Ease of Use
- Performance
- Speed
- Features
- Setup Ease
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.