Google Cloud Dataflow vs. Lenses
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Dataflow | Lenses |
|---|---|---|
| Overall rating | 4.2 | 4.2 |
| Review count | 44 | 17 |
| Ease of use | 8.3 | 9.5 |
| Ease of setup | 8.2 | 7.9 |
| Quality of support | 8.6 | 7.8 |
| Meets requirements | 9.1 | 8.5 |
| NPS | 42.857143 | 47.058824 |
| Small Business | 36.4% | 12.5% |
| Mid-Market | 31.8% | 37.5% |
| Enterprise | 31.8% | 50.0% |
| Total page views | 219 | 194 |
| Total LLM citations | 272 | 361 |
Google Cloud Dataflow
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed. And with its serverless approach to resource provisioning and management, you have access to virtually limitless capacity to solve your biggest data processing challenges, while paying only for what you use.
- Features
- Real-time Analytics
- Insights
- Real-Time Processing
- Easy Management
- Speed
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