Spark Streaming vs. Lenses
A side-by-side comparison based on G2 review data.
| Metric | Spark Streaming | Lenses |
|---|---|---|
| Overall rating | 4.2 | 4.2 |
| Review count | 40 | 17 |
| Ease of use | 8.4 | 9.5 |
| Ease of setup | 7.9 | 7.9 |
| Quality of support | 8.8 | 7.8 |
| Meets requirements | 9.1 | 8.5 |
| NPS | 39.473684 | 47.058824 |
| Small Business | 30.8% | 12.5% |
| Mid-Market | 43.6% | 37.5% |
| Enterprise | 25.6% | 50.0% |
| Total page views | 74 | 194 |
| Total LLM citations | 66 | 361 |
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.
Lenses
Lenses is the Developer Experience for enterprises to work with every Apache Kafka-based technology, in one place. Trusted by Europcar, Adidas, Daimler and Kandji, Lenses simplifies data streaming across hybrid and multi-cloud environments, giving engineers the autonomy to explore, integrate, and govern data -- and modernize their applications with ease: - Efficiently find, explore, process, integrate and govern streams with a data catalog, SQL studio and SQL stream processors - Confidently share, migrate and back up data streams across any cloud or environment with the Kafka to Kafka
- Ease of Use
- User Interface
- Features
- Intuitive
- Simple
- UX Design