Google Cloud BigQuery vs. Tiger Data
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud BigQuery | Tiger Data |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 1,223 | 32 |
| Ease of use | 8.9 | 9.1 |
| Ease of setup | 8.9 | 8.7 |
| Quality of support | 8.6 | 9.6 |
| Meets requirements | 9.0 | 9.3 |
| NPS | 67.744755 | 68.75 |
| Small Business | 27.7% | 78.1% |
| Mid-Market | 34.3% | 18.8% |
| Enterprise | 38.1% | 3.1% |
| Total page views | 5,950 | 481 |
| Total LLM citations | 27,007 | 5,519 |
Google Cloud BigQuery
BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.
- Ease of Use
- Speed
- Integrations
- Fast Querying
- Query Efficiency
- Scalability
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