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why would i want to learn about factory when i have ssis

db042190 1,521 Reputation points
2023-05-04T16:57:19.2033333+00:00

Hi we might create an azure db in the cloud. years ago i took data from and loaded data into the cloud from an on prem ssis pkg. so why might i want to learn factory as an alternative to ssis?

Azure Data Factory
Azure Data Factory

An Azure service for ingesting, preparing, and transforming data at scale.


Answer accepted by question author

KranthiPakala-MSFT 46,822 Reputation points Microsoft Employee Moderator
2023-05-05T03:13:45.6766667+00:00

Hi @db042190 ,

Thanks for using Microsoft Q&A forum and posting your query.

Azure Data Factory is a cloud native hybrid data integration service that allows you to create, schedule and orchestrate your ETL/ELT workflows at scale wherever your data lives, in cloud or self-hosted network. Azure Data Factory provides a wide range of connectors that allow you to easily move data between various data sources and destinations. It is designed to work with other Azure services and can be easier to use than SSIS. With Azure Data Factory, you don't need to set up and maintain on-premises infrastructure, and you only pay for what you use. If you're already using other Azure services or if you want a cloud-based solution that is easier to use and more cost-effective than Azure Data Factory can be a good alternative to SSIS.

Below are few detailed highlights/advantages of ADF over SSIS:

  1. Cloud-native: Azure Data Factory is a cloud-native service that is designed to work with Azure services, including Azure SQL Database. This means that it can take advantage of the scalability, reliability, and security features of the Azure cloud.
  2. Integration with other Azure services: Azure Data Factory integrates with other Azure services, such as Azure Blob Storage, Azure Data Lake Storage, and Azure Synapse Analytics, to provide a comprehensive data integration solution.
  3. No need for on-premises infrastructure: With Azure Data Factory, you don't need to set up and maintain on-premises infrastructure to load data into other azure services. This can save you time and money on hardware and maintenance costs.
  4. Easier to use: Azure Data Factory has a user-friendly interface that makes it easier to create and manage data integration pipelines. It also has built-in connectors for many data sources and destinations, which can simplify the process of setting up data integration.
  5. Cost-effective: Azure Data Factory offers a pay-as-you-go pricing model, which means that you only pay for what you use. This can be more cost-effective than setting up and maintaining on-premises infrastructure for data integration.

I would also highly recommend going through below articles for additional info:

Hope this info helps.


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