Spark Streaming vs. PubNub
A side-by-side comparison based on G2 review data.
| Metric | Spark Streaming | PubNub |
|---|---|---|
| Overall rating | 4.2 | 4.4 |
| Review count | 40 | 25 |
| Ease of use | 8.4 | 8.9 |
| Ease of setup | 7.9 | 8.9 |
| Quality of support | 8.8 | 9.3 |
| Meets requirements | 9.1 | 9.1 |
| NPS | 39.473684 | 60.869565 |
| Small Business | 30.8% | 52.0% |
| Mid-Market | 43.6% | 20.0% |
| Enterprise | 25.6% | 28.0% |
| Total page views | 74 | 197 |
| Total LLM citations | 66 | 731 |
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.
PubNub
PubNub is a real-time platform for developers who build in-app chat and live features. The Chat SDK includes typing indicators, presence, message history, read receipts, reactions, and threads. PubNub supports unlimited subscribers per channel. PubNub assigns each message a server-side timetoken. Messages on a channel form one ordered sequence. End-to-end delivery latency is sub-100ms. DAZN uses PubNub to power chat and Watch Party experiences for 10 million users. PubNub charges by Monthly Active Users or transactions, depending on the plan.
- Customer Support
- Chat Functionality
- Ease of Use
- Data Security
- Real-time Streaming
- API Integration