Tiger Data vs. Amazon Timestream
A side-by-side comparison based on G2 review data.
| Metric | Tiger Data | Amazon Timestream |
|---|---|---|
| Overall rating | 4.6 | 3.7 |
| Review count | 32 | 23 |
| Ease of use | 9.1 | 8.6 |
| Ease of setup | 8.7 | 8.1 |
| Quality of support | 9.6 | 8.5 |
| Meets requirements | 9.3 | 8.8 |
| NPS | 68.75 | 19.047619 |
| Small Business | 78.1% | 30.4% |
| Mid-Market | 18.8% | 43.5% |
| Enterprise | 3.1% | 26.1% |
| Total page views | 481 | 150 |
| Total LLM citations | 5,519 | 240 |
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
Amazon Timestream
Amazon Timestream is a fast, scalable, fully managed time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day at 1/10th the cost of relational databases. Driven by the rise of IoT devices, IT systems, and smart industrial machines, time-series data, data that measures how things change over time, is one of the fastest growing data types.
- Reliability