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Qlik Replicate May 2025 General Availability Release
New and Enhanced Endpoints
Snowflake
We continue to strengthen our strategic, technical, and commercial partnership with Snowflake, earning the award of Snowflake’s 2025 Data Integration Partner of the Year.
- New Snowflake Source Endpoint: This latest endpoint is a significant addition as it offers the ability to read data directly from Snowflake. For Snowflake users, this means you can leverage Snowflake's powerful processing capabilities to transform and prepare data, and then use Qlik Replicate to replicate that processed data to any other Snowflake instance, as well as any supported target system. Opening new possibilities for data distribution and synchronization across your enterprise, ensuring your valuable Snowflake-processed data can fuel other applications or data stores.
- New Unified Snowflake Target Endpoint: We continue to improve our integration with the Snowflake ecosystem and the user experience by consolidating the cloud providers (AWS, Google, or Azure) into a unified single Snowflake target endpoint. This simplification streamlines configuration and management. Additional configuration enhancements for proxy servers, internal Snowflake staging and the Storage Integration Name property provide greater flexibility, security, and optimized data loading for Snowflake users, regardless of their cloud deployment.
⚠️ Note: You can still use the existing standalone endpoints for cloud-specific Snowflake targets without disruption. We recommend using the unified Snowflake Target endpoint for new tasks. In future releases, we will be providing an automated process to migrate your existing tasks, with cloud-specific endpoints, into the unified Snowflake Target endpoint. ⚠️
Databricks
- Databricks Delta Enhancements:
- Primary Key Support: Qlik Replicate now creates primary keys on target Databricks Delta tables using the ‘RELY’ keyword. While Databricks doesn't enforce these, they are vital hints for query optimizers, leading to more efficient data processing and faster analytics within your Databricks environment. This is particularly important for Databricks users leveraging Unity Catalog for data governance.
- Iceberg Reads (UniForm) Support: A new option enables tables to be created in a format readable by Iceberg consumers. This is a game-changer for organizations embracing open lakehouse architectures, allowing for greater interoperability between Databricks Delta and other Iceberg-compatible tools, including Snowflake's growing support for Iceberg. It ensures your data is accessible and usable across diverse platforms.
- Support for Liquid Clustering using Primary Key Columns: This feature introduces liquid clustering, a powerful optimization that replaces traditional table partitioning in Databricks. By leveraging primary key columns, it significantly improves query performance and data organization within Databricks Delta tables, leading to faster insights and more efficient data operations.
- Data Type Enhancement. More precise data type handling when replicating to Databricks, ensuring data integrity and compatibility.
SAP Endpoint Enhancements
Qlik has deep domain knowledge and expertise with the SAP ecosystem and remains committed in helping our customers empower their SAP data by offering flexibility and a wide breadth of endpoints and solutions to cater for different scenarios in your SAP environments.
- Support for Accessing SAP HANA via SAP Application Server: This new option allows users to access SAP HANA through the SAP Application Server, which is highly beneficial for customers with an SAP Runtime License. It enables log-based CDC from SAP HANA without requiring direct database access, simplifying security and compliance.
- Support for "Full Record" Mode in Trigger-based CDC: This new preview feature offers a "Full record" mode that retrieves and stores the entire data record in a "shadow" table for each captured table. This provides a complete history of changes, including before-images of UPDATE and DELETE operations. It offers improved latency calculation, reduces load on SAP HANA, supports soft deletes, and has fewer limitations than the "Primary Key only" mode, providing richer historical data for analytics and auditing.
- Improved auditing and data governance: The AR_H_USER header can now be used in transformation expressions. This is invaluable for auditing and data governance, as it allows you to identify the specific user who performed operations in the source SAP HANA database, providing crucial lineage and accountability.
- SAP OData Enhancement: The addition of the Client identifier setting enhances integration with SAP OData sources, providing more granular control and better traceability for data extraction from SAP applications.
IBM Mainframe
- New IBM IMS Endpoint (Preview): We are making a significant development for organizations with mainframe IMS data, by simplifying configuration and improving stability for extracting valuable data from these critical legacy systems. The first phase of enhancements eliminates the need for the ARC change-router. Don't hesitate to get in touch with your Qlik rep if you are interested in gaining access to this endpoint while it is in preview.
- IBM DB2 for iSeries Source Endpoint: Expanded support for BINARY-DECIMAL and ZONED-DECIMAL data types ensures more accurate and complete data capture from critical IBM iSeries (AS/400) systems, reducing the need for manual transformations and improving data fidelity.
Amazon
- Amazon S3 On-premises Support: This new capability allows organizations to replicate data to S3-compatible storage systems deployed on-premises, such as DELL ECS, MinIO, and Apache Ozone. This is vital for hybrid cloud strategies, data sovereignty requirements, and maintaining data within your own infrastructure while still leveraging the benefits of S3's object storage.
Kafka
- Kafka-based Target Endpoint Enhancements:
- Tombstone Support: A new option to send tombstone messages on DELETE operations is critical for maintaining data consistency in streaming architectures. It signals to Kafka consumers that a record has been logically deleted, enabling proper data synchronization in downstream systems. 7
- Proxy Support: Customers can now connect to Confluent Schema Registry via a proxy server, providing greater network flexibility and security for Kafka-based data pipelines.
MongoDB
- MongoDB Source Endpoint: Enhanced Authentication: This enhancement provides greater security for MongoDB sources by adding the option for using Client Certificate (X.509). Mutual authentication was also added in Replicate November 2024 Service Release 1 for all authentication methods, such as SCRAM-SHA-256, ensuring secure communication channels.
Newly Supported Endpoint and Driver Versions:
Qlik Replicate continuously updates its compatibility. This release adds support for the latest versions of MariaDB, MySQL, PostgreSQL, IBM DB2 for LUW, IBM DB2 for z/OS, and Teradata Database ODBC Driver. This ensures that customers can leverage the newest features and security updates of their source and target databases while maintaining seamless data replication.
Qlik Replicate Server Enhancements
- Notification Suppression: This new feature allows administrators to suppress task notifications based on specific conditions (e.g., last notification time, error message content, task recovery status) and event duration (e.g., only notify if high memory utilization lasts longer than 5 minutes). This significantly reduces ‘alert fatigue’, allowing teams to focus on truly critical issues and improve operational efficiency.
- Log Rollover and Cleanup Defaults for New Installations: For new Qlik Replicate installations, automatic log file management is now enabled by default. Logs will roll over if larger than 100 MB or older than 7 days, and files older than 45 days will be automatically deleted. This simplifies maintenance, prevents disk space issues, and ensures efficient log management from day one.
Qlik Enterprise Manager May 2025 Enhancements
- Clone Task API – we have introduced a new API to clone tasks, allowing you to programmatically clone existing tasks and optionally specify new names for various settings. This and all our APIs in Qlik Enterprise Manager are supported by REST, .NET, and Python
As always, each new release is fully supported for two years. To check the status of support for your currently installed version, please see the relevant product lifecycle pages.
- Qlik Replicate Product Lifecycle
- Qlik Compose Product Lifecycle
- Qlik Enterprise Manager Product Lifecycle
We hope you enjoy using Qlik Talend Data Integration products and would love to hear your feedback and success stories, especially in any improvements you achieve.
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