Tiger Data vs. dataPARC
A side-by-side comparison based on G2 review data.
| Metric | Tiger Data | dataPARC |
|---|---|---|
| Overall rating | 4.6 | 4.9 |
| Review count | 32 | 39 |
| Ease of use | 9.1 | 9.2 |
| Ease of setup | 8.7 | 9.0 |
| Quality of support | 9.6 | 9.7 |
| Meets requirements | 9.3 | 9.6 |
| NPS | 68.75 | 97.435897 |
| Small Business | 78.1% | 5.3% |
| Mid-Market | 18.8% | 63.2% |
| Enterprise | 3.1% | 31.6% |
| Total page views | 481 | 321 |
| Total LLM citations | 5,519 | 670 |
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
dataPARC
dataPARC is a self-service industrial data visualization & analytics toolkit designed for process manufacturers seeking to improve quality, increase yield, & optimize their operations. Collect, connect, & analyze IoT data from across the plant with dataPARC’s process data analytics & visualization platform. Solve challenging process & product quality issues with simple, yet powerful trending & diagnostic analytics tools. Build sophisticated dashboards and displays to monitor processes & share production KPIs across your enterprise.
- Insights
- Training
- Data Visualization
- Features
- Ease of Use
- Customizability