Amazon Redshift vs. Tiger Data
A side-by-side comparison based on G2 review data.
| Metric | Amazon Redshift | Tiger Data |
|---|---|---|
| Overall rating | 4.3 | 4.6 |
| Review count | 404 | 32 |
| Ease of use | 8.9 | 9.1 |
| Ease of setup | 8.8 | 8.7 |
| Quality of support | 8.7 | 9.6 |
| Meets requirements | 8.9 | 9.3 |
| NPS | 53.369272 | 68.75 |
| Small Business | 20.6% | 78.1% |
| Mid-Market | 39.3% | 18.8% |
| Enterprise | 40.0% | 3.1% |
| Total page views | 511 | 481 |
| Total LLM citations | 5,954 | 5,519 |
Amazon Redshift
Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
- Integrations
- Ease of Use
- Fast Querying
- Scalability
- Easy Integrations
- Performance
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