Azure SQL Replication: 3 Easy Methods for You

By: Published: April 2, 2023

Azure SQL Replication - Featured Image

Nowadays, the question of whether to host business data in the Cloud has become easier and easier, which has a lot to do with Microsoft’s investment in Microsoft Azure. Your infrastructure strategy, such as Microsoft Azure SQL Database, which can handle large amounts of data (up to petabytes), can work no matter what the result is.

This blog will let you carry out Azure SQL Replication easily. It will explain 3 methods using which you can Replicate your Azure data. Read along to learn more about these methods and decide which one suits for your azure SQL data replication the most!

Table of Contents


To successfully perform the Azure SQL Replication to need to meet the following requirements:

  • An Azure SQL account with permissions to create databases.
  • Basic knowledge of commands in Azure SQL.

What is Azure SQL?

Azure SQL Replication: Azure SQL Logo
Azure SQL Logo

Azure SQL is a Relational Database that is provided as a completely managed service by Microsoft. Built on top of SQL Server, Azure SQL boasts of a very well-equipped querying layer and rock-solid stability.

The managed instance relieves customers of the effort involved in maintaining an on-premise server. Since SQL Server has traditionally been sold in a license-based model, Azure SQL also needs customers to pay for a subscription license making it slightly more expensive than open-source counterparts like MariaDB and PostgreSQL. Pricing of Azure SQL is in terms of required processor core and memory. It starts at approximately .5 $ per hour for a 2 core and 10 GB instance.

Some of the key features of Azure SQL Database are:

  • Updates, provisioning, and backups are all automated in a fully managed Azure SQL Database, allowing you to focus on application development.
  • Serverless computing and Hyperscale storage are flexible and agile, adapting quickly to your evolving needs. Azure SQL Database Hyperscale can scale storage up to 100 TB.
  • Your data is safe thanks to many layers of protection, built-in controls, and sophisticated threat detection. With Azure SQL Database ledger, you can provide tamper-evident cryptographic verification for your centralized data repositories from within your database. There is no need to migrate data or make modifications to the application.
  • With SLA of up to 99.995%, built-in AI and high availability maintain optimal performance and durability.

Why is Azure SQL Replication needed?

Migration to the Cloud is a wise choice because of the possibilities it provides and the advantage it gives customers regardless of their company demands, locations, or scalability. It’s no surprise that Cloud adoption is accelerating, and Microsoft Azure continues to climb the popularity ladder, as we continue to work remotely.

Since SQL Server is a favorite on-premise database among enterprises, Azure SQL server finds itself as a top choice while these companies move to a pure-cloud or hybrid model. In most such cases, there will be a need to perform Azure SQL Replication. The simplest of such a use case involves just a source and target Database, but it is typical to find replication configuration involving 3 or 4 Databases in enterprises. This is mostly used while trying to separate the transactional Databases from the ones that take ETL workloads. 

Some of the significant reasons why Azure SQL Replication is needed are listed below:

  • To synchronize distributed applications, workloads, and globally distributed data.
  • To ensure disaster recovery and business continuity.
  • To scale out read-only workloads.
  • To keep data synchronized when migrating.

To learn why you need to perform Data Replication, refer to Data Replication: Key Advantages & Disadvantages  Read along the next section, to understand the methods that can be used to set up Azure SQL Replication.

Automate Azure SQL Replication Using Hevo’s No Code Data Pipeline

Method 1: Using Azure Data Sync for Azure SQL Replication

Azure SQL Data Sync is a service that allows you to synchronize data one-way or two-way between multiple Azure Databases and SQL Server instances. It includes a central Database and member Database. A metadata Database located in the same area as the central Database is also required.

Method 2: Using Transaction Replication Feature for Azure SQL Replication

Azure Transactional Replication feature provides a more evolved solution than the first method. First, you need to create a source Database that will be connected to a distributor, and then the Replication process will begin. All this has to be custom-coded by you only.

Method 3: Using Hevo Data for Azure SQL Replication

Hevo Data, an Automated Data Pipeline, provides you with a hassle-free solution to perform the Azure SQL Replication with an easy-to-use no-code interface. Hevo is fully managed and completely automates the process of not only replicating data from Azure SQL but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code.

Hevo’s fault-tolerant Data Pipeline offers a faster way to move your data from Azure SQL and 150+ other data sources(including 50+ free data sources) into Data Warehouses, Databases, BI Tools, or any other destination of your choice. Hevo will take full charge of the data replication process, allowing you to focus on key business activities

Methods to Set Up Azure SQL Replication 

Now that you have understood the need for Azure SQL Replication, in this section, you will explore various methods to configure your Azure SQL database replication. Setting Azure SQL Replication can be mainly done through the following 3 methods:

Method 1: Using Azure Data Sync for Azure SQL Replication

Azure SQL Data Sync is a service that helps in syncing data unidirectionally or bidirectionally between multiple Azure Databases and SQL server instances. It involves a hub Database and member Databases. A metadata Database in the same region as that of the hub Database is also needed. You will now start configuring Data Sync through the Azure portal.

  • Step 1: Log in to the Azure portal and select SQL Databases.
  • Step 2: Select the Database you will be using as the master or the hub Database. 
azure sql replication: Select Database
Select Database
  • Step 3: From the left-hand side menu, select Sync to other Databases.
azure sql replication: Sync to Other Databases
Sync to Other Databases
  • Step 4: Select ‘New Sync group’ and add the details. Select automatic sync as ON for scheduling sync and enter your preferred schedule. In case of conflict resolution, select ‘Hub win’. 
azure sql replication: Select New Sync Group
Select New Sync Group
  • Step 5: In the next section, add the configuration details for the member Databases.
azure sql replication
Add Configuration Details

If you do not already have a destination Database, you can create one from this interface itself. Otherwise, add the details of your destination Database. It can take a managed instance or an SQL Server instance.

  • Step 6: In the next screen, select the tables that you want to sync from the source database and click ‘Save’. If you have configured a schedule in the second step, your sync will be executed at that time. Otherwise, you can start the Sync manually by clicking the Sync button. 

Drawbacks of Using Azure Data Sync for Azure SQL Database Replication Step By Step

Azure Data Sync is an intuitive service that can schedule sync between SQL Server or managed SQL instances in a few clicks. But it comes with the following drawbacks that make it non-ideal in certain situations:

  • The sync interval can only be set to 5 minutes at a minimum. So you should expect more than 5 minutes of latency in syncing your data.
  • It is very performance-intensive and comes with a restriction on the number of member Databases.
  • Transactional consistency is not maintained. So there will be intervals of time where your destination is not up to date or reflect a diverged state concerning your source Database. This makes it a less than perfect solution for backups as well.

Method 2: Using Transaction Replication Feature for Azure SQL Replication

Azure Transactional Replication feature eliminates most of the drawbacks mentioned in the case of Data Sync. It is a bit more involved to set up and makes you use the command line. For the sake of simplicity, let us assume, there is a table called ReplicationTest with two columns – ID and name. You will start the process by first setting up a destination Database in your managed instance.

  • Step 1: Connect to your instance and execute the below T-SQL to create a destination Database.
USE [master]
USE [ReplTran_SUB]
CREATE TABLE ReplicationTest (
  • Step 2: Connect to the Source Database and execute the below statements to configure a distributor. This process takes the transactions from the source and feeds them to the destination Databases.
USE [master]
EXEC sp_adddistributor @distributor = @@ServerName;
EXEC sp_adddistributiondb @database = N'distribution';
  • Step 3: We will now configure the source Database to use the distributor. For this, you need to change the query mode to the SQLCMD mode. You can do this by going to the query menu and clicking the SQL CMD mode. Execute the following commands to configure the source Database. 
:setvar username <your_user_name>
:setvar password <your_passsword>
:setvar file_storage "<file_share_folder_name>"
:setvar file_storage_key "DefaultEndpointsProtocol=https;AccountName=<Accountname>;AccountKey=<Account_key>;"
USE [master]
EXEC sp_adddistpublisher
  @publisher = @@ServerName,
  @distribution_db = N'distribution',
  @security_mode = 0,
  @login = N'$(username)',
  @password = N'$(password)',
  @working_directory = N'$(file_storage)',
  @storage_connection_string = N'$(file_storage_key)'; 
  • Step 4: Use the below command to enable replication and configure logs in the source Database.
USE [<source_db_name>]
EXEC sp_replicationdboption
  @dbname = N'<source_db_name>',
  @optname = N'publish',
  @value = N'true';
-- Create your publication
EXEC sp_addpublication
  @publication = N'publish_test',
  @status = N'active';
-- Configure your log reader agent
EXEC sp_changelogreader_agent
  @publisher_security_mode = 0,
  @publisher_login = N'<your_user_name>',
  @publisher_password = N'<your_password>',
  @job_login = N'<your_username>',
  @job_password = N'<your_password>';
-- Add the publication snapshot
EXEC sp_addpublication_snapshot
  @publication = N'publish_data',
  @frequency_type = 1,
  @publisher_security_mode = 0,
  @publisher_login = N'<your_username>',
  @publisher_password = N'<your_password>',
  @job_login = N'<your_username>',
  @job_password = N'<your_password>';
  • Step 5: Configure the Replication Database to use the publisher and initialize the snapshot.
-- Adds the ReplTest table to the source table publication
EXEC sp_addarticle
  @publication = N'publish_data',
  @type = N'logbased',
  @article = N'ReplicationTest',
  @source_object = N'ReplicationTest',
  @source_owner = N'<your_schema>';
-- COnfigures and adds the subscriber
EXEC sp_addsubscription
  @publication = N'publish_data',
  @subscriber = N'<destination_server_url>',
  @destination_db = N'<destination_database_name>',
  @subscription_type = N'Push';
-- Configures an agent for data push and subscription.
EXEC sp_addpushsubscription_agent
  @publication = N'publish_data'',
  @subscriber = N'estination_server_url',
  @subscriber_db = N'destination_database_name',
  @subscriber_security_mode = 0,
  @subscriber_login = N'<destination_username>',
  @subscriber_password = N'<destination_password>',
  @job_login = N'<your_username>',
  @job_password = N’<your_password>';
-- Initializing the publishing snapshot. 
EXEC sp_startpublication_snapshot
  @publication = N'publish_data';

The last command should get the Replication started. You can test this by adding a row to the source database and verifying that the row has been Replicated. In case you face errors, you may need to increase the connection timeout values of your source Database.

Drawbacks of Using Transactional Replication

The biggest advantage of this approach is the low latency and transactional consistency. Such capability comes with the following drawbacks:

  • The biggest downside is that this is not for the faint-hearted and requires you to meddle with a lot of configurations and commands. This needs database administration skills to set up along with developer skills.
  • This approach is best suited in the case of replication to SQL Server-based destination. In many use cases, the replication has to be done to other databases or warehouses.
  • There is no option for transforming data in this method. Many ETL workflows need data transformation before moving data.

Method 3: Using Hevo Data for Azure SQL Replication

Hevo Data, a No-code Data Pipeline, helps you replicate data from Azure SQL to Data Warehouses, Business Intelligence Tools, or any other destination of your choice in a completely hassle-free & automated manner. Hevo’s end-to-end Data Management service automates the process of not only loading data from Azure SQL but also transforming and enriching it into an analysis-ready form when it reaches the destination. Hevo’s Data Mapping feature works continuously to replicate your Azure SQL data to the desired Warehouse and builds a single source of truth for your business.

You can automate your Azure SQL Replication with the following steps:

  • Whitelist Hevo’s IP Addresses: You need to whitelist the Hevo IP addresses for your region to enable Hevo to connect to your Azure SQL database. You can do this by creating firewall rules in your Microsoft Azure database settings. Access your Azure MS SQL instance and under Resources, select the Database you want to synchronize with Hevo as shown in the below image.
Whitelisting Hevo's IP Addresses
Whitelist Hevo IP Address

In the right pane, click the Set server firewall tab to open the Firewall settings. Then create a firewall rule by specifying a Rule name. Specify Hevo’s IP addresses in the Start IP and End IP fields as per your region. This is shown in the below image.

Firewall Settings
Firewall Settings
  • Enable Change Tracking: To enable change tracking, connect your Azure SQL Database in your SQL Client tool, and enter these commands:
ALTER DATABASE [<database>] ;
ALTER TABLE [<schema>].[<table>] ;
  • Grant Privileges: The Database user specified in the Hevo Pipeline must have global privileges. Assign those and set the configuration according to your needs. Your Azure Replication will start automatically!

To learn more about using Hevo Data for Azure SQL Replication, visit here.

Check out what makes Hevo amazing:

  • Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled in a secure, consistent manner with zero data loss.
  • Auto Schema Mapping: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data from Azure SQL and replicates it to the destination schema.
  • Quick Setup: Hevo with its automated features, can be set up in minimal time. Moreover, with its simple and interactive UI, it is extremely easy for new customers to work on and perform operations.
  • One-place Solution: Hevo Data along with Azure SQL also caters to Azure MySQL, Azure PostgreSQL, and Azure MariaDB replication.
  • Transformations: Hevo provides preload transformations through Python code. It also allows you to run transformation code for each event in the Data Pipelines you set up. You need to edit the event object’s properties received in the transform method as a parameter to carry out the transformation. Hevo also offers drag and drop transformations like Date and Control Functions, JSON, and Event Manipulation to name a few. These can be configured and tested before putting them to use for aggregation.
  • Hevo Is Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.
  • Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time. This ensures efficient utilization of bandwidth on both ends.
  • Live Support: The Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.

For a data pipeline tool, we expect to be able to seamlessly integrate our data sources with custom scheduling, logging, and alerts. Hevo provides all these features and allows us to get access to data when we critically need it.

– Chris Lockhart, Data Science Manager, Scratchpay

With continuous real-time data movement, Hevo allows you to replicate your Azure SQL data along with your other data sources and seamlessly load it to the destination of your choice with a no-code, easy-to-setup interface. Try our 14-day full-feature access free trial!

Get Started with Hevo for Free


The blog discussed Azure SQL Replication and provided 3 different methods of achieving it. The first 2 methods although feasible, have certain drawbacks which were also discussed in the blog. Such solutions will require skilled engineers and regular data updates. Furthermore, you will have to build an in-house solution from scratch if you wish to replicate your data from Azure SQL to a Data Warehouse for analysis.

Hevo Data provides an Automated No-code Data Pipeline that empowers you to overcome the above-mentioned limitations. You can leverage Hevo to seamlessly replicate Azure SQL data in real-time without writing a single line of code. Hevo’s Data Pipeline enriches your data and manages the transfer process in a fully automated and secure manner. Hevo caters to 150+ data sources (including 50+ free sources) and can directly transfer data from these sources to Data Warehouses, Business Intelligence Tools, or any other destination of your choice in a hassle-free manner. It will make your life easier and make data migration hassle-free.

Learn more about Hevo

Want to take Hevo for a spin? Sign up for a 14-day free trial and experience the feature-rich Hevo suite firsthand.

Share your understanding of Azure SQL Replication in the comments section!

Former Director of Product Management, Hevo Data

Vivek Sinha has extensive experience in real-time analytics and cloud-native technologies. With a focus on Apache Pinot, he was a driving force in shaping innovation and defensible differentiators, including enhanced query processing, data mutability support, and cost-effective tiered storage solutions at Hevo. He also demonstrates a passion for exploring and implementing innovative trends within the dynamic data industry landscape.