Spark Streaming vs. SAS Viya
A side-by-side comparison based on G2 review data.
| Metric | Spark Streaming | SAS Viya |
|---|---|---|
| Overall rating | 4.2 | 4.4 |
| Review count | 40 | 832 |
| Ease of use | 8.4 | 8.5 |
| Ease of setup | 7.9 | 8.3 |
| Quality of support | 8.8 | 8.6 |
| Meets requirements | 9.1 | 8.8 |
| NPS | 39.473684 | 56.162643 |
| Small Business | 30.8% | 34.5% |
| Mid-Market | 43.6% | 31.5% |
| Enterprise | 25.6% | 34.1% |
| Total page views | 74 | 2,874 |
| Total LLM citations | 66 | 8,976 |
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.
SAS Viya
SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment.
- Ease of Use
- Features
- Analytics
- Data Analysis
- User Interface
- Data Visualization