Tiger Data vs. Google Cloud BigTable
A side-by-side comparison based on G2 review data.
| Metric | Tiger Data | Google Cloud BigTable |
|---|---|---|
| Overall rating | 4.6 | 4.4 |
| Review count | 32 | 41 |
| Ease of use | 9.1 | 8.7 |
| Ease of setup | 8.7 | 8.7 |
| Quality of support | 9.6 | 8.5 |
| Meets requirements | 9.3 | 9.1 |
| NPS | 68.75 | 67.567568 |
| Small Business | 78.1% | 26.8% |
| Mid-Market | 18.8% | 41.5% |
| Enterprise | 3.1% | 31.7% |
| Total page views | 481 | 165 |
| Total LLM citations | 5,519 | 338 |
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
Google Cloud BigTable
Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.
- Cloud Storage
- Ease of Use
- Integrations
- Features
- Data Analytics
- User Interface