IBM Netezza Performance Server vs. Google Cloud BigQuery
A side-by-side comparison based on G2 review data.
| Metric | IBM Netezza Performance Server | Google Cloud BigQuery |
|---|---|---|
| Overall rating | 4.1 | 4.5 |
| Review count | 84 | 1,223 |
| Ease of use | 9.0 | 8.9 |
| Ease of setup | 8.6 | 8.9 |
| Quality of support | 8.6 | 8.6 |
| Meets requirements | 8.6 | 9.0 |
| NPS | 29.411765 | 67.744755 |
| Small Business | 12.0% | 27.7% |
| Mid-Market | 26.5% | 34.3% |
| Enterprise | 61.4% | 38.1% |
| Total page views | 180 | 5,950 |
| Total LLM citations | 131 | 27,007 |
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
Google Cloud BigQuery
BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.
- Ease of Use
- Speed
- Integrations
- Fast Querying
- Query Efficiency
- Scalability