Amazon Redshift vs. Apache Parquet
A side-by-side comparison based on G2 review data.
| Metric | Amazon Redshift | Apache Parquet |
|---|---|---|
| Overall rating | 4.3 | 4.3 |
| Review count | 404 | 27 |
| Ease of use | 8.9 | 8.1 |
| Ease of setup | 8.8 | 7.6 |
| Quality of support | 8.7 | 8.3 |
| Meets requirements | 8.9 | 8.7 |
| NPS | 53.369272 | 46.153846 |
| Small Business | 20.6% | 29.6% |
| Mid-Market | 39.3% | 48.1% |
| Enterprise | 40.0% | 22.2% |
| Total page views | 511 | 70 |
| Total LLM citations | 5,954 | 49 |
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
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.