Azure Data Lake Store vs. Apache Storm
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Lake Store | Apache Storm |
|---|---|---|
| Overall rating | 4.5 | 3.7 |
| Review count | 40 | 12 |
| Ease of use | 8.9 | 6.6 |
| Ease of setup | 9.3 | 6.7 |
| Quality of support | 9.2 | 7.5 |
| Meets requirements | 9.3 | 8.0 |
| NPS | 72.972973 | -8.333333 |
| Small Business | 27.5% | 50.0% |
| Mid-Market | 27.5% | 16.7% |
| Enterprise | 45.0% | 33.3% |
| Total page views | 165 | 20 |
| Total LLM citations | 79 | 12 |
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
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.