Azure Data Lake Analytics vs. EXASOL
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Lake Analytics | EXASOL |
|---|---|---|
| Overall rating | 4.2 | 4.7 |
| Review count | 37 | 28 |
| Ease of use | 8.6 | 9.1 |
| Ease of setup | 8.6 | 8.8 |
| Quality of support | 8.7 | 9.4 |
| Meets requirements | 8.8 | 9.7 |
| NPS | 50 | 78.26087 |
| Small Business | 19.4% | 25.9% |
| Mid-Market | 27.8% | 33.3% |
| Enterprise | 52.8% | 40.7% |
| Total page views | 95 | 117 |
| Total LLM citations | 35 | 142 |
Azure Data Lake Analytics
Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.
EXASOL
Exasol is the world’s most powerful Analytics Engine, purpose-built to handle the most demanding data workloads at an unmatched price / performance ratio. <b>In-memory architecture </b> Want to process 3 billion rows in 3 seconds, not 3 hours? Exasol manages memory cache automatically, only bringing what's needed into the database for dramatically faster access times. <b>Automatic query tuning </b> Enjoy optimized performance while minimizing data administration overhead.
- Query Efficiency
- Performance
- Features
- Cost-Effective
- Fast Processing
- Analytics