<!-- Generated from the rendered page by scripts/write-llm-mirrors.mjs. Do not edit by hand. -->
Canonical: https://molo17.com/blog/ibm-i-as400-real-time-data-replication-native-cdc-apis/
Markdown mirror: https://molo17.com/blog/ibm-i-as400-real-time-data-replication-native-cdc-apis/index.md
Title: IBM i (AS400) native CDC APIs upgrade
Description: Gluesync upgrades its IBM i (AS400) agent from DSPJRN to native QjoRetrieveJournalEntries APIs.

[← All articles](/blog/)

Article

# IBM i (AS400) real-time data replication: Gluesync upgrades to native CDC APIs

27 May 2026  [Gluesync integrates](/blog/?category=gluesync-integrates)  2 min read

We have officially migrated our IBM i connector from DSPJRN to the IBM’s native QjoRetrieveJournalEntries system API.

![](https://molo17.com/wp-content/uploads/2026/05/IBMi_NEW.png)

Unlocking data from legacy infrastructures without impacting core operations has always been one of the biggest challenges in enterprise data integration. To solve this, today we are announcing a major architectural upgrade to our **IBM i (AS/400) agent**. Specifically, it fundamentally redefines how [Gluesync](https://molo17.com/get-gluesync/)replicates data from this platform. 

## From DSPJRN to QjoRetrieveJournalEntries: why it matters

We have officially migrated our IBM i connector from the traditional, file-based Display Journal (DSPJRN) approach to the IBM’s native QjoRetrieveJournalEntries **system** **API**.

DSPJRN was a well-established but inherently limited method. For instance, it reads journal data by spawning system commands, introducing latency and consuming CPU cycles.  
In contrast, QjoRetrieveJournalEntries is a different paradigm entirely. It reads journal entries directly via IBM’s programmatic API layer. As a result, it enables event-driven, low-overhead change data capture with no intermediate file generation.

The results are significant:

-   **Ultra-low latency**: true real-time CDC with throughput speeds consistently under 500-350ms. Consequently, data moves seamlessly from IBM i to targets like Kafka, Snowflake, or PostgreSQL.

-   **Minimal host impact:** dramatic reduction in CPU overhead on the IBM i machine, preserving the performance of ERP and mission-critical business systems running on the same infrastructure.
-   **Enterprise-grade scalability:** capable of handling high-throughput transaction volumes without risk of data loss or bottlenecks.

## A modern alternative to legacy IBM i replication software

Implementing stable, production-grade CDC on IBM i via QjoRetrieveJournalEntries requires deep, low-level system expertise. Historically, this level of native integration was restricted to a select few legacy replication suites, such as **Precisely with MiMiX**.

However, with this update, **Gluesync** joins an extremely narrow group of modern data integration platforms worldwide to offer this level of IBM i replication. The same engineering depth as traditional industry incumbents delivered within a cloud-native, container-based and cost-effective platform built for modern data architectures.

The updated IBM i agent is fully production-ready and available for enterprise deployments. For technical requirements, journal configuration and permission setup, refer to the [official IBM i Series Agent documentation](https://docs.molo17.com/gluesync/v2.2/agents/ibm-i-series-change-data-capture-journal.html).

[← Older article Gluesync 2.2.7: advanced enterprise security with OIDC & RBAC, enhanced UI and token management](/blog/gluesync-2-2-7-oidc-rbac-security-ui-update/) [Newer article → Gluesync 2.2.8: smart alerting, rebuilt OTA updates and rich technical metadata](/blog/gluesync-2-2-8-smart-alerting-rebuilt-ota-updates-and-rich-technical-metadata/)

## Keep reading

1.  [Gluesync integrates How we achieve sub-45ms real-time replication with log-based CDC Gluesync achieves sub-45ms real-time data replication using log-based Change Data Capture (CDC) with near-zero impact on your source database. 10 Jul 2026](/blog/real-time-replication-log-based-cdc/)
2.  [Gluesync integrates Amazon RedShift target agent: high-performance cloud data warehousing with Gluesync Stream real-time data into Amazon Redshift with Gluesync. Leverage AWS S3 staging and native COPY commands for high-throughput bulk loads and batch CDC ingestion. 5 May 2026](/blog/amazon-redshift-target-agent-high-performance-cloud-data-warehousing-with-gluesync/)
3.  [Gluesync integrates SAP HANA agent for Gluesync: real-time CDC for SAP environments Gluesync now offers full real-time CDC for SAP HANA. Use our shadow table technique to capture changes as a source or leverage high-performance target capabilities. 4 May 2026](/blog/sap-hana-agent-for-gluesync-real-time-cdc-for-sap-environments/)

[Back to all articles](/blog/) [More in Gluesync integrates →](/blog/?category=gluesync-integrates)
