Amazon Timestream vs. Druid
A side-by-side comparison based on G2 review data.
| Metric | Amazon Timestream | Druid |
|---|---|---|
| Overall rating | 3.7 | 4.3 |
| Review count | 23 | 31 |
| Ease of use | 8.6 | 8.3 |
| Ease of setup | 8.1 | 6.9 |
| Quality of support | 8.5 | 8.2 |
| Meets requirements | 8.8 | 8.6 |
| NPS | 19.047619 | 39.285714 |
| Small Business | 30.4% | 19.4% |
| Mid-Market | 43.5% | 29.0% |
| Enterprise | 26.1% | 51.6% |
| Total page views | 150 | 324 |
| Total LLM citations | 240 | 219 |
Amazon Timestream
Amazon Timestream is a fast, scalable, fully managed time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day at 1/10th the cost of relational databases. Driven by the rise of IoT devices, IT systems, and smart industrial machines, time-series data, data that measures how things change over time, is one of the fastest growing data types.
- Reliability
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.