Azure Data Lake Store vs. Google Cloud Managed Service for Apache Spark
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Lake Store | Google Cloud Managed Service for Apache Spark |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 40 | 18 |
| Ease of use | 8.9 | 9.0 |
| Ease of setup | 9.3 | 7.1 |
| Quality of support | 9.2 | 9.0 |
| Meets requirements | 9.3 | 8.8 |
| NPS | 72.972973 | 68.75 |
| Small Business | 27.5% | 27.8% |
| Mid-Market | 27.5% | 38.9% |
| Enterprise | 45.0% | 33.3% |
| Total page views | 165 | 126 |
| Total LLM citations | 79 | 544 |
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
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.