Amazon Timestream vs. Tiger Data
A side-by-side comparison based on G2 review data.
| Metric | Amazon Timestream | Tiger Data |
|---|---|---|
| Overall rating | 3.7 | 4.6 |
| Review count | 23 | 32 |
| Ease of use | 8.6 | 9.1 |
| Ease of setup | 8.1 | 8.7 |
| Quality of support | 8.5 | 9.6 |
| Meets requirements | 8.8 | 9.3 |
| NPS | 19.047619 | 68.75 |
| Small Business | 30.4% | 78.1% |
| Mid-Market | 43.5% | 18.8% |
| Enterprise | 26.1% | 3.1% |
| Total page views | 150 | 481 |
| Total LLM citations | 240 | 5,519 |
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
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