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  1. Limitations and disadvantages (helping to make decision)

Technology

Limitations

SFTP Client

Authentication & Authorization

  • Microsoft Entra ID (Azure Active Directory Identity) not supported for SFTP endpoint.

  • ACLs (Access Control lists) not supported for SFTP endpoint.

  • Local user is the only form of identity management supported.
    Network

  • Network must open port 22

  • Static IP addresses are not supported.

  • Must use Microsoft Internet Routing as Internet routing is not supported.

  • 2-minute timeout for standby or inactive connections.
    Performance

  • Performance degradation over time, impact of network latency.
    Other

  • Constraint on use of account hierarchical namespace functionality (must be enabled, requires Azure Data Lake Gen2 capabilities).

  • Maximum file size is 100 GB.

  • To launch storage redundancy/replication, SFTP must be deactivated.

AzCopy Utility

  • Synchronous operation only, no asynchronous copying.

  • Potential timeout, dependency on on-premise infrastructure, dependency on our network.

  • Impact of log generation on performance.

  • Unexpected behavior: if file size reaches 200 GB, AzCopy splits the exported file.

  • No traceability, just a technical log.

Azure Data Factory

  • Resource limitations - but not really, as it's designed for large quantities of data.

  • If we develop pipelines and there is a lot of transformation that is done outside ADF's native activities, this will make it more difficult to estimate the cost of the operation at the end.

  • Long-term operations are more expensive than on-premise solutions.

Azure Function

  • Not suitable for long, resource-intensive runs.

  • Cold-start latency means you have to pay more for the plan.

  • Despite stateless architecture, if data persistence is required, then the architecture becomes more complex as data is fetched across services.

  • Limited debugging