Apache Storm vs. Azure Data Lake Store
A side-by-side comparison based on G2 review data.
| Metric | Apache Storm | Azure Data Lake Store |
|---|---|---|
| Overall rating | 3.7 | 4.5 |
| Review count | 12 | 40 |
| Ease of use | 6.6 | 8.9 |
| Ease of setup | 6.7 | 9.3 |
| Quality of support | 7.5 | 9.2 |
| Meets requirements | 8.0 | 9.3 |
| NPS | -8.333333 | 72.972973 |
| Small Business | 50.0% | 27.5% |
| Mid-Market | 16.7% | 27.5% |
| Enterprise | 33.3% | 45.0% |
| Total page views | 20 | 165 |
| Total LLM citations | 12 | 79 |
Apache Storm
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing.
Azure Data Lake Store
Azure Data Lake Storage is a cloud-based, enterprise-grade data lake solution designed to store and analyze massive amounts of data in its native format. It enables organizations to eliminate data silos by providing a single storage platform that supports structured, semi-structured, and unstructured data. This service is optimized for high-performance analytics workloads, allowing businesses to derive insights from their data efficiently.
- Easy Integrations
- Fast Processing