Azure Data Factory vs SAP Data Services
ETL & data extraction head-to-head for ERP teams: evidenced capabilities, published pricing, and which ERPs each actually integrates with.
| Starting price | Consumption-based, no seat licence | Quote-based |
| Deployment | Cloud, Hybrid | On-premise |
| Company size | — | Enterprise |
| Stated ERP integrations | SAP, Oracle Fusion Cloud, Microsoft Dynamics 365 | SAP, Oracle Fusion Cloud |
| Vendor | Microsoft | SAP |
Our take
Where Azure Data Factory leads
- Stronger evidenced coverage on 15 of the 22 capabilities where they differ (led by conditional & branching pipeline logic and managed saas deployment).
- Stated Microsoft Dynamics 365 integration the alternative doesn't list.
Where SAP Data Services leads
- Stronger evidenced coverage on 7 of the 22 capabilities where they differ (led by legacy erp application adapters and data profiling & cleansing).
Where they differ
The 22 capabilities (of 52 in the ETL & data extraction taxonomy) where the evidence separates them, biggest gaps first. “Not evidenced” means our research found no public documentation of this capability — the vendor may still offer it. Confirm on a demo.
| Capability | ||
|---|---|---|
| Legacy ERP application adaptersConnector Catalog & Source Coverage | Not evidenced | Core strength Supplements for Oracle Applications, PeopleSoft, Siebel, and J.D. Edwards World and OneWorld |
| Data profiling & cleansingTransformation & Modeling | Not evidenced | Core strength Dedicated data profiling, cleansing/standardization/matching, address cleansing/geocoding and data quality dashboards module |
| Conditional & branching pipeline logicOrchestration & Scheduling | Core strength ForEach, If Condition, Until, Execute Pipeline, Lookup, Wait, Web/Webhook activities | Not evidenced |
| Managed SaaS deploymentDeployment & Runtime Architecture | Core strength Serverless, code-free ETL/ELT service | Not evidenced |
| Self-hosted / on-premises deploymentDeployment & Runtime Architecture | Not evidenced | Core strength Job Server / Access Server architecture; runs on Windows and UNIX/Linux server platforms |
| Hybrid deployment / on-prem execution agentDeployment & Runtime Architecture | Core strength Self-hosted integration runtime, Azure-SSIS IR and VNet injection for on-premises/private-network sources | Not evidenced |
| Full refresh syncExtraction & Replication | Not evidenced | Supported Bulk data loading |
| Log-based Change Data CaptureExtraction & Replication | Supported Named SAP CDC connector; general CDC not detailed for other sources | Not evidenced |
| Schema drift detection & propagationExtraction & Replication | Supported In Mapping Data Flows | Not evidenced |
| Parameterized, reusable pipelinesOrchestration & Scheduling | Supported Parameters and variables for reusable, parameterised pipelines | Not evidenced |
| CI/CD & infrastructure-as-codeOrchestration & Scheduling | Supported Full CI/CD support via Azure DevOps and GitHub source control | Not evidenced |
| Data lake / lakehouse destinationsDestinations & Activation | Not evidenced | Supported Supplement for Big Data covering Apache Hadoop and HDFS access |
| Role-based access controlGovernance, Security & Compliance | Supported Microsoft Entra ID authentication, managed identities and role-based access control | Not evidenced |
| SSO / SAML authenticationGovernance, Security & Compliance | Supported Microsoft Entra ID (Azure AD) authentication | Not evidenced |
| Encryption at rest & in transitGovernance, Security & Compliance | Supported Microsoft-managed or customer-managed keys at rest; TLS in transit | Not evidenced |
| Failure & anomaly alertingMonitoring & Operations | Supported Alerts on pipeline, activity, trigger and integration-runtime metrics | Not evidenced |
| Run history & activity logsMonitoring & Operations | Supported Per-run consumption reporting and rerun/rerun-from-failure support | Not evidenced |
| Real-time, synchronous request-reply integrationEnterprise ERP Depth & AI Automation | Partial Web/Webhook activities support synchronous calls within a pipeline; not a dedicated request-reply broker | Core strength Access Server provides real-time, request-reply message brokering for on-demand data services |
| Checkpointing & resumable syncsExtraction & Replication | Partial Rerun / rerun-from-failure activity support, not automatic mid-sync checkpointing | Not evidenced |
| Cloud data warehouse destinationsDestinations & Activation | Supported Amazon Redshift and Google BigQuery connectors; Azure Synapse as a Mapping Data Flows target | Partial Supplement for Google BigQuery documented; other cloud warehouses not named |
| Database & flat-file destinationsDestinations & Activation | Supported SQL Server, MySQL, PostgreSQL, Teradata, DB2 and more | Core strength Universal native connectors; classic on-premises database/file-centric ETL platform |
| Pipeline monitoring dashboardMonitoring & Operations | Core strength Visual pipeline and activity-run monitoring with list and Gantt views | Supported Web-based Management Console for administration, analysis and metadata reporting |
Both grade identically on the other 30 capabilities — see each product's full profile: Azure Data Factory, SAP Data Services.
Azure Data Factory vs SAP Data Services — FAQs
Is Azure Data Factory or SAP Data Services better for ERP integration?
Both state integrations with SAP, Oracle Fusion Cloud. Azure Data Factory additionally lists Microsoft Dynamics 365. Always verify the connector against your ERP version with a reference customer.
Which is cheaper, Azure Data Factory or SAP Data Services?
Neither publishes a list price — both quote. Ask each for the all-in first-year cost at your seat count, as one number, and compare those.
Get pricing for both
Tell us your ERP, seat count and must-haves and we'll come back with an independent view of what Azure Data Factory and SAP Data Services should each cost you — and whether a third option belongs on your shortlist.