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