Replicate Databricks Data to Multiple Databases



Replicate Databricks data to disparate databases with a point-and-click configuration.

Always-on applications rely on automatic failover capabilities and real-time access to data. CData Sync integrates live Databricks data into your mirrored databases, always-on cloud databases, and other databases such as your reporting server: Automatically synchronize with remote Databricks data from Windows.

About Databricks Data Integration

Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:

  • Access all versions of Databricks from Runtime Versions 9.1 - 13.X to both the Pro and Classic Databricks SQL versions.
  • Leave Databricks in their preferred environment thanks to compatibility with any hosting solution.
  • Secure authenticate in a variety of ways, including personal access token, Azure Service Principal, and Azure AD.
  • Upload data to Databricks using Databricks File System, Azure Blog Storage, and AWS S3 Storage.

While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.

Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.


Getting Started


Configure Replication Destinations

Using CData Sync, you can replicate Databricks data to any number of databases, both cloud-based and on-premises. To add a replication destination, navigate to the Connections tab.

For each destination database:

  1. Click Add Connection.
  2. Select a destination. In this article, we use SQLite.
  3. Enter the necessary connection properties. To replicate Databricks to a SQLite database, enter a file path in the Data Source box.
  4. Click Test Connection to ensure that the connection is configured properly.
  5. Click Save Changes.

Configure the Databricks Connection

You can configure a connection to Databricks from the Connections tab. To add a connection to your Databricks account, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select a source (Databricks).
  3. Configure the connection properties.

    To connect to a Databricks cluster, set the properties as described below.

    Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.

    • Server: Set to the Server Hostname of your Databricks cluster.
    • HTTPPath: Set to the HTTP Path of your Databricks cluster.
    • Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).
  4. Click Connect to ensure that the connection is configured properly.
  5. Click Save Changes.

Configure Replication Queries

CData Sync enables you to control replication with a point-and-click interface and with SQL queries. For each replication you wish to configure, navigate to the Jobs tab and click Add Job. Select the Source and Destination for your replication.

Replicate Entire Tables

To replicate an entire table, click Add Tables in the Tables section, choose the table(s) you wish to replicate, and click Add Selected Tables.

Customize Your Replication

You can use a SQL query to customize your replication. The REPLICATE statement is a high-level command that caches and maintains a table in your database. You can define any SELECT query supported by the Databricks API. To customize your replication, click Add Custom Query in the Tables section and define the Query Statement.

The statement below caches and incrementally updates a table of Databricks data:

REPLICATE Customers;

You can specify a file containing the replication queries you want to use to update a particular database. Separate replication statements with semicolons. The following options are useful if you are replicating multiple Databricks accounts into the same database:

  • Use a different table prefix in the REPLICATE SELECT statement:

    REPLICATE PROD_Customers SELECT * FROM Customers;
  • Alternatively, use a different schema:

    REPLICATE PROD.Customers SELECT * FROM Customers;

Schedule Your Replication

In the Schedule section, you can schedule a job to run automatically, configuring the job to run after specified intervals ranging from once every 10 minutes to once every month.

Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your Databricks data to disparate on-premises, cloud-based, and other databases.

Ready to get started?

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