Apache Spark for Azure HDInsight vs. Google Cloud Managed Service for Apache Spark
A side-by-side comparison based on G2 review data.
| Metric | Apache Spark for Azure HDInsight | Google Cloud Managed Service for Apache Spark |
|---|---|---|
| Overall rating | 4.1 | 4.3 |
| Review count | 13 | 18 |
| Ease of use | 8.8 | 9.0 |
| Ease of setup | 8.9 | 7.1 |
| Quality of support | 8.7 | 9.0 |
| Meets requirements | 8.7 | 8.8 |
| NPS | 30.769231 | 68.75 |
| Small Business | 16.7% | 27.8% |
| Mid-Market | 58.3% | 38.9% |
| Enterprise | 25.0% | 33.3% |
| Total page views | 105 | 126 |
| Total LLM citations | 29 | 544 |
Apache Spark for Azure HDInsight
Apache Spark for Azure HDInsight is an open source processing framework that runs large-scale data analytics applications.
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.