Azure Data Lake Store vs. Google Cloud BigQuery
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Lake Store | Google Cloud BigQuery |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 40 | 1,223 |
| Ease of use | 8.9 | 8.9 |
| Ease of setup | 9.3 | 8.9 |
| Quality of support | 9.2 | 8.6 |
| Meets requirements | 9.3 | 9.0 |
| NPS | 72.972973 | 67.744755 |
| Small Business | 27.5% | 27.7% |
| Mid-Market | 27.5% | 34.3% |
| Enterprise | 45.0% | 38.1% |
| Total page views | 165 | 5,950 |
| Total LLM citations | 79 | 27,007 |
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 BigQuery
BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.
- Ease of Use
- Speed
- Integrations
- Fast Querying
- Query Efficiency
- Scalability