Tiger Data vs. Prometheus
A side-by-side comparison based on G2 review data.
| Metric | Tiger Data | Prometheus |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 32 | 60 |
| Ease of use | 9.1 | 8.4 |
| Ease of setup | 8.7 | 8.4 |
| Quality of support | 9.6 | 8.1 |
| Meets requirements | 9.3 | 9.0 |
| NPS | 68.75 | 62.711864 |
| Small Business | 78.1% | 33.3% |
| Mid-Market | 18.8% | 38.3% |
| Enterprise | 3.1% | 28.3% |
| Total page views | 481 | 218 |
| Total LLM citations | 5,519 | 1,069 |
Tiger Data
Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of history, all queryable in standard SQL. For IoT, Web3, and AI. Why teams choose Tiger Data: - Trusted by thousands of developers. 3M+ active databases, 2k+ customers - Up to 95% Compression. Keep years of history online at a fraction of the cost. - Production-ready without the operational pain. Multi-AZ HA, PITR, cross-region backups, SOC 2/HIPAA/GDPR, deep observability. - Scale effortlessly.
- Ease of Use
- Easy Setup
- Setup Ease
- Performance
- Analytics
- Speed
Prometheus
Prometheus is an open-source systems monitoring and alerting toolkit designed for reliability and scalability. It collects and stores metrics as time series data, enabling real-time monitoring of applications, systems, and services. With its powerful query language, PromQL, users can analyze and visualize data effectively. Prometheus operates independently, requiring no external dependencies, and integrates seamlessly with various service discovery mechanisms, making it ideal for dynamic environments.
- Easy Integrations
- Integrations
- Alerting System
- Real-time Monitoring
- Monitoring
- Speed