Azure Data Factory vs. Google Cloud BigQuery
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Factory | Google Cloud BigQuery |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 102 | 1,223 |
| Ease of use | 9.1 | 8.9 |
| Ease of setup | 9.2 | 8.9 |
| Quality of support | 9.0 | 8.6 |
| Meets requirements | 9.3 | 9.0 |
| NPS | 76.28866 | 67.744755 |
| Small Business | 11.9% | 27.7% |
| Mid-Market | 28.7% | 34.3% |
| Enterprise | 59.4% | 38.1% |
| Total page views | 445 | 5,950 |
| Total LLM citations | 1,119 | 27,007 |
Azure Data Factory
Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems.
- Data Integration
- Ease of Use
- Integrations
- Scalability
- Connectors
- Simple
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