IBM Netezza Performance Server vs. Druid
A side-by-side comparison based on G2 review data.
| Metric | IBM Netezza Performance Server | Druid |
|---|---|---|
| Overall rating | 4.1 | 4.3 |
| Review count | 84 | 31 |
| Ease of use | 9.0 | 8.3 |
| Ease of setup | 8.6 | 6.9 |
| Quality of support | 8.6 | 8.2 |
| Meets requirements | 8.6 | 8.6 |
| NPS | 29.411765 | 39.285714 |
| Small Business | 12.0% | 19.4% |
| Mid-Market | 26.5% | 29.0% |
| Enterprise | 61.4% | 51.6% |
| Total page views | 180 | 324 |
| Total LLM citations | 131 | 219 |
IBM Netezza Performance Server
Integrates database, server, storage and analytics into a single system with petabyte scalability. Fast analytics Provides a high-performance, massively parallel system that enables you to gain insight from your data and perform analytics on very large data volumes. Smart, efficient queries Simplifies analytics by consolidating all activity in one place, where the data resides. Simplified infrastructure Easy to deploy and manage; simplifies your data warehouse and analytic infrastructure. Does not require tuning, indexing or aggregated tables and needs minimal administration.
- Speed
- Performance
- Ease of Use
- Fast Processing
- Large Datasets
- Powerful BI
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.