Amazon Redshift vs. Druid
A side-by-side comparison based on G2 review data.
| Metric | Amazon Redshift | Druid |
|---|---|---|
| Overall rating | 4.3 | 4.3 |
| Review count | 404 | 31 |
| Ease of use | 8.9 | 8.3 |
| Ease of setup | 8.8 | 6.9 |
| Quality of support | 8.7 | 8.2 |
| Meets requirements | 8.9 | 8.6 |
| NPS | 53.369272 | 39.285714 |
| Small Business | 20.6% | 19.4% |
| Mid-Market | 39.3% | 29.0% |
| Enterprise | 40.0% | 51.6% |
| Total page views | 511 | 324 |
| Total LLM citations | 5,954 | 219 |
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
Druid
Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics solution for real-time data. It includes stream and batch ingestion, column-oriented storage, time-optimized partitioning, native OLAP and search indexing, SQL and REST support, flexible schemas; all with true horizontal scalability on a shared nothing, cloud native architecture that makes it easy to deploy, monitor and manage at scale.