Google Cloud Managed Service for Apache Spark vs. Azure Data Lake Store
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | Azure Data Lake Store |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 18 | 40 |
| Ease of use | 9.0 | 8.9 |
| Ease of setup | 7.1 | 9.3 |
| Quality of support | 9.0 | 9.2 |
| Meets requirements | 8.8 | 9.3 |
| NPS | 68.75 | 72.972973 |
| Small Business | 27.8% | 27.5% |
| Mid-Market | 38.9% | 27.5% |
| Enterprise | 33.3% | 45.0% |
| Total page views | 126 | 165 |
| Total LLM citations | 544 | 79 |
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 Data Lake Store
Azure Data Lake Storage is a cloud-based, enterprise-grade data lake solution designed to store and analyze massive amounts of data in its native format. It enables organizations to eliminate data silos by providing a single storage platform that supports structured, semi-structured, and unstructured data. This service is optimized for high-performance analytics workloads, allowing businesses to derive insights from their data efficiently.
- Easy Integrations
- Fast Processing