Google Cloud Managed Service for Apache Spark vs. Azure HDInsight
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Azure HDInsight |
|---|---|---|
| Overall rating | 4.3 | 3.9 |
| Review count | 18 | 17 |
| Ease of use | 9.0 | 8.3 |
| Ease of setup | 7.1 | 8.3 |
| Quality of support | 9.0 | 8.6 |
| Meets requirements | 8.8 | 8.8 |
| NPS | 68.75 | 14.285714 |
| Small Business | 27.8% | 23.5% |
| Mid-Market | 38.9% | 35.3% |
| Enterprise | 33.3% | 41.2% |
| Total page views | 126 | 88 |
| Total LLM citations | 544 | 34 |
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.
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.