Azure HDInsight vs. Druid
A side-by-side comparison based on G2 review data.
| Metric | Azure HDInsight | Druid |
|---|---|---|
| Overall rating | 3.9 | 4.3 |
| Review count | 17 | 31 |
| Ease of use | 8.3 | 8.3 |
| Ease of setup | 8.3 | 6.9 |
| Quality of support | 8.6 | 8.2 |
| Meets requirements | 8.8 | 8.6 |
| NPS | 14.285714 | 39.285714 |
| Small Business | 23.5% | 19.4% |
| Mid-Market | 35.3% | 29.0% |
| Enterprise | 41.2% | 51.6% |
| Total page views | 88 | 324 |
| Total LLM citations | 34 | 219 |
Azure HDInsight
HDInsight is a fully-managed cloud Hadoop offering that provides optimized open source analytic clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and R Server backed by a 99.9% SLA.
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.