Apache Parquet vs. Tiger Data
A side-by-side comparison based on G2 review data.
| Metric | Apache Parquet | Tiger Data |
|---|---|---|
| Overall rating | 4.3 | 4.6 |
| Review count | 27 | 32 |
| Ease of use | 8.1 | 9.1 |
| Ease of setup | 7.6 | 8.7 |
| Quality of support | 8.3 | 9.6 |
| Meets requirements | 8.7 | 9.3 |
| NPS | 46.153846 | 68.75 |
| Small Business | 29.6% | 78.1% |
| Mid-Market | 48.1% | 18.8% |
| Enterprise | 22.2% | 3.1% |
| Total page views | 70 | 481 |
| Total LLM citations | 49 | 5,519 |
Apache Parquet
Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.
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