Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
Get the Report →Automated Continuous MongoDB Replication to Google Cloud SQL
Use CData Sync for automated, continuous, customizable MongoDB replication to Google Cloud SQL.
Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live MongoDB data into your Google Cloud SQL instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.
About MongoDB Data Integration
Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:
- Access data from MongoDB 2.6 and above, ensuring broad usability across various MongoDB versions.
- Easily manage unstructured data thanks to flexible NoSQL (learn more here: Leading-Edge Drivers for NoSQL Integration).
- Leverage feature advantages over other NoSQL drivers and realize functional benefits when working with MongoDB data (learn more here: A Feature Comparison of Drivers for NoSQL).
MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.
For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.
Getting Started
Configure Google Cloud SQL as a Replication Destination
Using CData Sync, you can replicate MongoDB data to Google Cloud SQL. To add a replication destination, navigate to the Connections tab. Then select the appropriate destination based on your Google Cloud SQL service (MySQL, PostgreSQL, or SQL Server).
MySQL
- Click Add Connection.
- Select MySQL as a destination.
- Enter the necessary connection properties. To connect to MySQL, set the following:
- Server: The IP address or domain name of the server you want to connect to.
- Port: The port where the server is running.
- User: The username of a user with read/write access to the database.
- Password: The password of a user with read/write access to the database.
- Database: The name of the database.
- Click Test Connection to ensure that the connection is configured properly.
- Click Save Changes.
Jump to configuring the MongoDB connection.
PostgreSQL
- Click Add Connection.
- Select PostgreSQL as a destination.
- Enter the necessary connection properties. To connect to PostgreSQL, set the following connection properties (CData Sync ships with the Npgsql ADO.NET Provider for PostgreSQL):
- Server: The address of the server hosting the PostgreSQL database.
- Port: The port used to connect to the server hosting the PostgreSQL database.
- User: The user ID provided for authentication with the PostgreSQL database.
- Password: The password provided for authentication with the PostgreSQL database.
- Database: The name of the database.
- Click Test Connection to ensure that the connection is configured properly.
- Click Save Changes.
Jump to configuring the MongoDB connection.
SQL Server
- Click Add Connection.
- Select SQL Server as a destination.
- Enter the necessary connection properties. To connect to SQL Server, set the following:
- Server: The name or network address of the computer running SQL Server.
- User: The username provided for authentication with SQL Server, if using forms authentication.
- Password: The password provided for authentication with SQL Server, if using forms authentication.
- Database: The name of the SQL Server database.
Java Edition
The Java version requires the Microsoft SQL Server JDBC driver, which can be downloaded from the Microsoft Download Center. Copy the JDBC driver to the lib folder of your Java Web server to make a connection.
- Click Test Connection to ensure that the connection is configured properly.
- Click Save Changes.
Jump to configuring the MongoDB connection.
Configure the MongoDB Connection
You can configure a connection to MongoDB from the Connections tab. To add a connection to your MongoDB account, navigate to the Connections tab.
- Click Add Connection.
- Select a source (MongoDB).
- Configure the connection properties.
Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.
- Click Connect to ensure that the connection is configured properly.
- 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 the Columns and Query tabs of a task to customize your replication. The Columns tab allows you to specify which columns to replicate, rename the columns at the destination, and even perform operations on the source data before replicating. The Query tab allows you to add filters, grouping, and sorting to the replication.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 MongoDB data to Google Cloud SQL.