Azure Data Factory
7.3#3 in data ingestion softwareFrom $0.10 a monthWebAPISelf-hostedWindows
VisitAzure Data Factory vs Estuary
What both publish
| Fact | Azure Data Factory | Estuary |
|---|---|---|
| Company identity | Microsoft Corporation is a publicly traded company founded in 1975 and headquartered in Redmond, Washington. | Crunchbase lists the legal name as Estuary Technologies, Inc., a privately held New York software company founded by David Yaffe and John Graettinger. |
| Compliance | Microsoft's product page says Azure has more than 100 compliance certifications, including more than 50 regional or country-specific certifications. | Estuary states that it is SOC 2 Type II certified and compliant with HIPAA, GDPR, CCPA and CPRA. |
| Documentation depth | Microsoft Learn provides conceptual guides, tutorials, quickstarts, REST references, SDK examples, CI/CD guidance, limits and security material. | Connector references include prerequisites, configuration properties, YAML examples, supported features and SaaS resource lists. |
| Founded | 1975 | 2019 |
| Headquarters | Redmond, Washington, USA | New York City, New York, United States |
| Rating on G2 | 4.6 out of 5 from 101 reviews | 4.7 out of 5 from 35 reviews. |
| Rating on Gartner Peer Insights | 4.4 out of 5 from 123 ratings | 5.0 out of 5 from 1 review. |
Azure Data Factory plans
- Data movement (self-hosted IR)$0.10 a month
- Data movement (Azure or managed VNET IR)$0.25 a month
- Pipeline orchestration (Azure integration runtime)$1 a month
- Pipeline orchestration (self-hosted integration runtime)$1.50 a month
Estuary plans
- Pay-as-you-go$100 a month
- AnnualPriced on request
- DeveloperFree
- FreeFree
- Cloud PAYG$0.50 a month
- Cloud$0.50 a month
Pick Azure Data Factory if…
It suits organizations managing data workflows across hybrid environments. Teams needing incremental loading, change capture or custom transformation logic may find its listed capabilities relevant.
Pick Estuary if…
Estuary suits enterprises that need to manage data cost, latency, and deployment choices across integration workflows. It may also suit teams that want to transform data in motion or configure its storage duration.