EDB Postgres AI Database vs. Tiger Data
A side-by-side comparison based on G2 review data.
| Metric | EDB Postgres AI Database | Tiger Data |
|---|---|---|
| Overall rating | 4.4 | 4.6 |
| Review count | 171 | 32 |
| Ease of use | 9.0 | 9.1 |
| Ease of setup | 8.8 | 8.7 |
| Quality of support | 9.2 | 9.6 |
| Meets requirements | 9.2 | 9.3 |
| NPS | 56.287425 | 68.75 |
| Small Business | 28.9% | 78.1% |
| Mid-Market | 43.4% | 18.8% |
| Enterprise | 27.7% | 3.1% |
| Total page views | 1,101 | 481 |
| Total LLM citations | 185 | 5,519 |
EDB Postgres AI Database
EDB delivers an always-on, multi-model Postgres engine built on open source and extended with the enterprise capabilities that mission-critical workloads demand. It powers transactional, analytical, and AI workloads with support for relational, vector, document, and time-series data, so teams work with one engine and one set of Postgres skills instead of maintaining specialized systems for each data type.
- Customer Support
- Performance
- Migration Ease
- Data Security
- Security
- Compatibility
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