Oracle TimesTen vs. Tiger Data
A side-by-side comparison based on G2 review data.
| Metric | Oracle TimesTen | Tiger Data |
|---|---|---|
| Overall rating | 3.8 | 4.6 |
| Review count | 22 | 32 |
| Ease of use | 8.6 | 9.1 |
| Ease of setup | 8.2 | 8.7 |
| Quality of support | 8.3 | 9.6 |
| Meets requirements | 8.8 | 9.3 |
| NPS | 16.666667 | 68.75 |
| Small Business | 18.2% | 78.1% |
| Mid-Market | 40.9% | 18.8% |
| Enterprise | 40.9% | 3.1% |
| Total page views | 71 | 481 |
| Total LLM citations | 13 | 5,519 |
Oracle TimesTen
Oracle TimesTen In-Memory Database is a full-featured relational database thats designed to run in the application tier and store all data in main memory. This makes the reading or writing of data as simple and fast as accessing RAM.
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