Tiger Data vs. Druid
A side-by-side comparison based on G2 review data.
| Metric | Tiger Data | Druid |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 32 | 31 |
| Ease of use | 9.1 | 8.3 |
| Ease of setup | 8.7 | 6.9 |
| Quality of support | 9.6 | 8.2 |
| Meets requirements | 9.3 | 8.6 |
| NPS | 68.75 | 39.285714 |
| Small Business | 78.1% | 19.4% |
| Mid-Market | 18.8% | 29.0% |
| Enterprise | 3.1% | 51.6% |
| Total page views | 481 | 324 |
| Total LLM citations | 5,519 | 219 |
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
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.