Azure Data Lake Store vs. Druid
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Lake Store | Druid |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 40 | 31 |
| Ease of use | 8.9 | 8.3 |
| Ease of setup | 9.3 | 6.9 |
| Quality of support | 9.2 | 8.2 |
| Meets requirements | 9.3 | 8.6 |
| NPS | 72.972973 | 39.285714 |
| Small Business | 27.5% | 19.4% |
| Mid-Market | 27.5% | 29.0% |
| Enterprise | 45.0% | 51.6% |
| Total page views | 165 | 324 |
| Total LLM citations | 79 | 219 |
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
Druid
Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics solution for real-time data. It includes stream and batch ingestion, column-oriented storage, time-optimized partitioning, native OLAP and search indexing, SQL and REST support, flexible schemas; all with true horizontal scalability on a shared nothing, cloud native architecture that makes it easy to deploy, monitor and manage at scale.