Azure Data Factory vs. Workato
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Factory | Workato |
|---|---|---|
| Overall rating | 4.6 | 4.7 |
| Review count | 102 | 858 |
| Ease of use | 9.1 | 9.1 |
| Ease of setup | 9.2 | 9.1 |
| Quality of support | 9.0 | 9.3 |
| Meets requirements | 9.3 | 9.2 |
| NPS | 76.28866 | 79.80653 |
| Small Business | 11.9% | 21.6% |
| Mid-Market | 28.7% | 42.9% |
| Enterprise | 59.4% | 35.5% |
| Total page views | 445 | 4,526 |
| Total LLM citations | 1,119 | 37,700 |
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
Workato
Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 customers including half the Fortune 500, Workato connects every system, process, and data source with 14,000+ pre-built connectors. What sets Workato apart: Enterprise MCP turns proven business processes into governed, agent-ready skills that any AI agent — Claude, ChatGPT, Cursor, or custom-built — can execute safely and predictably. No rip-and-replace required.
- Ease of Use
- Integrations
- Easy Integrations
- Features
- Automation
- Customer Support