Buying snapshot
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| Decision point | What Microsoft states |
|---|---|
Connectors | More than 90 built-in, maintenance-free connectors are available at no added cost, including connectors for big-data sources, data warehouses, SaaS applications, and Azure data services. |
Authoring | Code-free pipelines or code-centric ETL and ELT, with built-in Git and support for continuous integration and continuous delivery. |
Integration runtime | Compute infrastructure for data movement across network environments, visually authored Data Flow on Spark, and managed execution of SSIS packages. |
Service level | Microsoft states that resource-operation requests succeed at least 99.9% of the time and scheduled activity runs initiate within four minutes at least 99.9% of the time. |
Availability | Available in more than 25 regions. |
Our take
Choose Azure Data Factory when managed Azure integration is needed for pipelines involving SSIS packages or on-premises, hybrid, or multicloud sources.
Evaluate Azure Data Factory
Comparisons
Where it stands out
SSIS rehosting. Microsoft describes Data Factory as the only fully compatible data integration service for moving SSIS packages to the cloud, with a deployment wizard, and promotes Azure Hybrid Benefit for SSIS migration.
Hybrid ingestion. It ingests from on-premises, hybrid, and multicloud sources and can use underlying network bandwidth up to 5 Gbps throughput.
Managed transformations. Microsoft says its managed Apache Spark service handles code generation and maintenance, while intent-driven mapping automates copy activities.
Operational visibility. Activity runs can be monitored visually, with configured alerts appearing in Azure alert groups.
Product screenshot
Trade-offs to weigh
A second Microsoft option to assess. Microsoft directs buyers to the next generation of Data Factory on Microsoft Fabric, so compare the two experiences before standardizing a new project.
Pricing and buying conditions
Use the Azure pricing calculator to budget monthly costs for the intended deployment region.
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| Buying condition | Published detail |
|---|---|
Billing basis | Pay only for what you need, with no upfront cost. Options include managed SSIS for seamless migration of SQL Server projects to the cloud and large-scale serverless data pipelines. |
Account option | Pay as you go or try Azure free for up to 30 days. |
Currency and payment | Azure prices are in US dollars worldwide. Purchases can use a credit card or monthly invoice; prepaid and virtual credit cards are not accepted. |
Public signals
About these signals
Verified factual signals from public sources. They indicate observable activity or interest, not total adoption, product quality, or cost.
1.6M PyPI weekly downloads4.3k npm weekly downloads0 vulnerabilities across 2 packages
See all signals from 6 sources
npm · @azure/arm-datafactory@20.0.0 · PyPI · azure-mgmt-datafactory@10.0.0
Alternatives to Azure Data Factory
The reviewed substitutes for Azure Data Factory among the ETL platforms, and what would make each one the better answer.
Other approaches
A different approach to the same problem. Each substitutes only for the workload named beside it.
- Qlik Replicate
- Choose Qlik Replicate when replication freshness and change capture are the central technical requirement, rather than broad ETL/ELT pipeline construction.Applies to: real-time CDC, database replication, and synchronization workloads
- Apache NiFi
- Apache NiFi is used rather than Azure Data Factory for open-source data processing and distribution workloads. We recommend Apache NiFi over Azure Data Factory when data distribution and event-oriented flow management matter more than Azure-native ETL orchestration.
- AWS Glue
- The two hyperscaler serverless ETL services; the choice follows the cloud the data already sits in.Applies to: Serverless ETL and ELT pipelines inside one hyperscaler's data estate.