Gluesync 2.1.6 released: Target Table Creation Wizard & Parquet File Support

Gluesync 2.1.6 is now available, introducing two major features that significantly enhance the platform’s data integration capabilities: Target Table Creation Wizard and Parquet File Support for major cloud storage platforms.

This release builds upon the foundation laid by previous updates, further strengthening Gluesync’s position as an enterprise-grade solution for real-time data integration.

Target Table Creation Wizard

The new Target Table Creation Wizard is a powerful addition that streamlines the process of setting up replication environments. When configuring replication for a source table that doesn’t yet exist in your target database, Gluesync now automatically launches an intuitive wizard that:

• Generates a CREATE TABLE statement based on your source table’s structure
• Converts column data types to be compatible with the target database
• Allows you to review and edit the SQL before execution
• Handles proper schema creation and table deployment

This feature eliminates the need for manual schema setup across different database platforms, making it significantly easier to implement cross-database replication scenarios. Database-specific syntax is automatically adjusted, with data types appropriately converted between systems (for example, MySQL to PostgreSQL conversions are handled seamlessly).

The wizard is especially valuable for:

• First-time replication setup with new target tables
• Cross-database migrations requiring DDL adjustments
• Automated table provisioning in enterprise environment.

For full details, you can explore the dedicated documentation on Target Table Creation.

Parquet File Support

The second major enhancement is Apache Parquet file format support for cloud storage destinations. This long-awaited feature enables storing replicated data in the highly efficient columnar storage format that’s optimized for analytics workloads.

Gluesync now supports Parquet files in AWS S3 (and any S3-compatible storage), Google Cloud Storage, Azure Data Lake Storage Gen2.

Parquet offers significant advantages over JSON for data processing, including:

• Enhanced compression and reduced storage requirements
• Improved query performance for analytics workloads
• Better compatibility with big data frameworks like Apache Spark
• Optimized file handling for large-scale deployments

The implementation includes intelligent handling of both snapshot and CDC (Change Data Capture) operations, with changes stored in a structured hierarchy that supports efficient downstream processing. This makes Gluesync an even more powerful tool for building data lakes and analytics pipelines.

You can learn more about the Parquet file support in the detailed documentation.

Additional improvements

Beyond these headline features, Gluesync 2.1.6 delivers several performance improvements and agent-specific enhancements:

• Oracle Triggers agent: fixes and enhancements
• CockroachDB agent: fixes and enhancements
• YugabyteDB agent: fixes and enhancements
• DB2 LUW agent: fixes and enhancements
• Couchbase agent: fixes and enhancements
• Various UI improvements and bug fixes

Why upgrade to Gluesync 2.1.6

With its automated table creation and optimized file storage capabilities, Gluesync 2.1.6 addresses key challenges in enterprise data integration:

• Reduced setup time: Automatic table generation eliminates manual schema creation steps
• Simplified analytics pipelines: Parquet support streamlines integration with data processing frameworks
• Improved cross-platform compatibility: Better handling of database-specific nuances
• Enhanced performance: Optimized file formats and agent improvements
• Existing users can upgrade to Gluesync 2.1.6 through the customer portal.

New users can sign up for a 30-day free trial to experience the power of Gluesync’s real-time enterprise data integration.

Read the full release notes of Gluesync 2.1.6.