Azure HDInsight vs. Google Cloud Managed Service for Apache Spark
A side-by-side comparison based on G2 review data.
| Metric | Azure HDInsight | Google Cloud Managed Service for Apache Spark |
|---|---|---|
| Overall rating | 3.9 | 4.3 |
| Review count | 17 | 18 |
| Ease of use | 8.3 | 9.0 |
| Ease of setup | 8.3 | 7.1 |
| Quality of support | 8.6 | 9.0 |
| Meets requirements | 8.8 | 8.8 |
| NPS | 14.285714 | 68.75 |
| Small Business | 23.5% | 27.8% |
| Mid-Market | 35.3% | 38.9% |
| Enterprise | 41.2% | 33.3% |
| Total page views | 88 | 126 |
| Total LLM citations | 34 | 544 |
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.
Google Cloud Managed Service for Apache Spark
Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way. Operations that used to take hours or days take seconds or minutes instead, and you pay only for the resources you use (with per-second billing). Cloud Dataproc also easily integrates with other Google Cloud Platform (GCP) services, giving you a powerful and complete platform for data processing, analytics and machine learning.