Spark Streaming vs. Ably Realtime
A side-by-side comparison based on G2 review data.
| Metric | Spark Streaming | Ably Realtime |
|---|---|---|
| Overall rating | 4.2 | 4.8 |
| Review count | 40 | 67 |
| Ease of use | 8.4 | 9.1 |
| Ease of setup | 7.9 | 9.0 |
| Quality of support | 8.8 | 9.7 |
| Meets requirements | 9.1 | 9.4 |
| NPS | 39.473684 | 89.552239 |
| Small Business | 30.8% | 44.8% |
| Mid-Market | 43.6% | 28.4% |
| Enterprise | 25.6% | 26.9% |
| Total page views | 74 | 213 |
| Total LLM citations | 66 | 8,692 |
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.
Ably Realtime
Ably helps teams deliver resilient AI UX and high-performance live experiences that stay fast and in sync worldwide. We provide the global realtime layer for AI agents, chat, notifications, live dashboards, and collaboration - engineered to handle peak demand without self-managed infrastructure. Teams like HubSpot and Intercom use Ably to avoid the cost and complexity of building and operating realtime systems, while still getting predictable performance at serious scale, handling 2T+ API operations per month.
- Ease of Use
- Customer Support
- Easy Integrations
- Reliability
- Fast Communication
- Integrations