Azure Data Factory vs Rivery
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 | Usage-based (BDU / Boomi Data Unit credits), tiered plans |
| Deployment | Cloud, Hybrid | Cloud |
| Company size | — | SMB, Mid-market, Enterprise |
| Stated ERP integrations | SAP, Oracle Fusion Cloud, Microsoft Dynamics 365 | NetSuite, SAP, Oracle Fusion Cloud, Sage Intacct |
| Vendor | Microsoft | Rivery (a Boomi company) |
Our take
Where Azure Data Factory leads
- Stronger evidenced coverage on 12 of the 18 capabilities where they differ (led by visual, no-code transformation builder and cloud data warehouse destinations).
- Stated Microsoft Dynamics 365 integration the alternative doesn't list.
Where Rivery leads
- Stronger evidenced coverage on 6 of the 18 capabilities where they differ (led by code-based transforms (sql/python scripting) and multi-environment promotion (dev/test/prod)).
- Stated NetSuite, Sage Intacct integration the alternative doesn't list.
Where they differ
The 18 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 | ||
|---|---|---|
| Visual, no-code transformation builderTransformation & Modeling | Core strength Mapping Data Flows: code-free canvas on Azure-managed Spark clusters | Not evidenced |
| Code-based transforms (SQL/Python scripting)Transformation & Modeling | Not evidenced | Core strength SQL-based steps plus Python script steps (pandas/numpy) and Rivery DataFrames passing data between them |
| Multi-environment promotion (dev/test/prod)Orchestration & Scheduling | Not evidenced | Core strength Multiple environments (e.g. Dev/Prod) for promoting pipelines |
| Reverse ETL / operational activationDestinations & Activation | Not evidenced | Core strength Push warehouse data into operational apps via API, with a documented reverse-ETL path from HubSpot/Salesforce into NetSuite |
| Incremental syncExtraction & Replication | Not evidenced | Supported Incremental load management |
| SQL / ELT pushdown transformsTransformation & Modeling | Not evidenced | Supported SQL Query and SQL Script transformation steps |
| Cloud data warehouse destinationsDestinations & Activation | Supported Amazon Redshift and Google BigQuery connectors; Azure Synapse as a Mapping Data Flows target | Not evidenced |
| Database & flat-file destinationsDestinations & Activation | Supported SQL Server, MySQL, PostgreSQL, Teradata, DB2 and more | Not evidenced |
| Encryption at rest & in transitGovernance, Security & Compliance | Supported Microsoft-managed or customer-managed keys at rest; TLS in transit | Not evidenced |
| Audit loggingGovernance, Security & Compliance | Not evidenced | Supported Monitoring dashboard and activity/run logs |
| Failure & anomaly alertingMonitoring & Operations | Supported Alerts on pipeline, activity, trigger and integration-runtime metrics | Not evidenced |
| Schema drift detection & propagationExtraction & Replication | Supported In Mapping Data Flows | Partial Automated schema creation on load; explicit drift-handling/propagation not detailed |
| Checkpointing & resumable syncsExtraction & Replication | Partial Rerun / rerun-from-failure activity support, not automatic mid-sync checkpointing | Not evidenced |
| 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 | Supported PrivateLink and Reverse SSH connectivity (Pro Plus+); VPN tunnels for network-isolated sources (Enterprise) |
| Data cataloging / metadata managementGovernance, Security & Compliance | Partial Via Microsoft Purview integration for sensitive-data discovery and classification | Not evidenced |
| Pipeline monitoring dashboardMonitoring & Operations | Core strength Visual pipeline and activity-run monitoring with list and Gantt views | Supported Monitoring dashboard and activity/run logs |
| SAP module-level extraction (ECC/S4HANA/BW)Enterprise ERP Depth & AI Automation | Core strength Dedicated SAP ECC, HANA, BW (Open Hub and MDX), Table, CDC and Cloud for Customer connectors | Supported Separate documented connectors cover SAP ERP, ECC, HANA, BW, SuccessFactors and Concur |
| 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 | Not evidenced |
Both grade identically on the other 34 capabilities — see each product's full profile: Azure Data Factory, Rivery.
Azure Data Factory vs Rivery — FAQs
Is Azure Data Factory or Rivery better for ERP integration?
Both state integrations with SAP, Oracle Fusion Cloud. Azure Data Factory additionally lists Microsoft Dynamics 365. Rivery additionally lists NetSuite, Sage Intacct. Always verify the connector against your ERP version with a reference customer.
Which is cheaper, Azure Data Factory or Rivery?
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 Rivery should each cost you — and whether a third option belongs on your shortlist.