Amazon Redshift vs. StarTree
A side-by-side comparison based on G2 review data.
| Metric | Amazon Redshift | StarTree |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 404 | 29 |
| Ease of use | 8.9 | 7.9 |
| Ease of setup | 8.8 | 7.6 |
| Quality of support | 8.7 | 8.8 |
| Meets requirements | 8.9 | 8.7 |
| NPS | 53.369272 | 68.965517 |
| Small Business | 20.6% | 37.9% |
| Mid-Market | 39.3% | 31.0% |
| Enterprise | 40.0% | 31.0% |
| Total page views | 511 | 157 |
| Total LLM citations | 5,954 | 437 |
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
StarTree
StarTree Cloud is a fully-managed user-facing real-time analytics Database-as-a-Service (DBaaS) designed for OLAP at massive speed and scale. Based on Apache Pinot™, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment.
- Performance
- Fast Querying
- Large Datasets
- Analytics
- Speed
- Ease of Use