Apache Storm vs. Azure HDInsight
A side-by-side comparison based on G2 review data.
| Metric | Apache Storm | Azure HDInsight |
|---|---|---|
| Overall rating | 3.7 | 3.9 |
| Review count | 12 | 17 |
| Ease of use | 6.6 | 8.3 |
| Ease of setup | 6.7 | 8.3 |
| Quality of support | 7.5 | 8.6 |
| Meets requirements | 8.0 | 8.8 |
| NPS | -8.333333 | 14.285714 |
| Small Business | 50.0% | 23.5% |
| Mid-Market | 16.7% | 35.3% |
| Enterprise | 33.3% | 41.2% |
| Total page views | 20 | 88 |
| Total LLM citations | 12 | 34 |
Apache Storm
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing.
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.