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Azure SQL Data Sync Limitations Pricing and Alternatives

Azure SQL Data Sync Limitations

Before we talk about the Azure SQL Data Sync Limitations, we will need to understand the prerequisites first. The Azure Data Sync has been around for a while (October 2011), and it got better over the years. At the time of writing this, it was still in preview, and we expect this to be released shortly.

The new version supports On-premises SQL Server instance to act as a subscriber, which we think is excellent. For starters, if you are from the SQL Server On-premises world, and have tickled with SQL Server replication services, you will feel right at home. The Azure SQL Data Sync feature is a hybrid of Merge & Transactional replication. At least, that is what we think.

Image Source: Microsoft

However, the setup complexity is less, and you should be up and running in a few minutes. This was not the case with the on-premises edition. Anyways, let us look at the system requirements first.

When to use SQL Data Sync?

Hybrid Data Synchronization – Data synchronized between your on-premises databases and Azure SQL Databases. For customers who would like to put some of their application in Azure

Distributed Applications – Separate different workloads across different databases. Run a reporting or analytics workload separate from the production workload

Globally Distributed Applications – To minimize network latency and have your data in a region close to where is primary used

However, you must remember that “Data Sync” is not a recommended solution for Disaster RecoveryRead ScaleETL (OLTP to OLAP) or migration scenarios.

Azure SQL Data Sync Limitations

If you want an uneventful deployment, ensure that the setup has met the minimum prerequisites first. Let us look at the system requirements first.

System Requirements for Azure Data Sync

The Data Sync is a cloud feature, and there is not much to set up. However, for the On-premises SQL Server, here are the system requirements:

Now, that we have the system requirements clarified, let us look at some of the limitations.

Dimension Limit

The SQL Server Agent best practices:

Best Practices before Data-Sync

When you create a sync group, be sure that only one of the databases contains data before the first synchronization. If multiple databases include data, each current row is treated as a data conflict, even if the data is identical. Data conflicts significantly slow down a synchronization. Depending on the size of your DB, if multiple databases are populated with data, the first sync can take days or weeks. Conflict resolution also requires numerous round trips between the databases. If your databases are in different data centers, these round trips can add significantly to your ingress and egress charges.

Sync Group-Update-Limitations

The subsequent changes to a database schema cannot be applied to a sync group. If you want to consolidate any of these changes to your sync group, you need to delete and re-create the sync association.

Official Documentation:

Getting started: SQL Data Sync
Data Types supported by SQL Data Sync
SQL Data Sync Data Security
SQL Data Sync Troubleshooting Guide