<!-- 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 · MOLO17
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

![IBM i (AS400) real-time data replication: Gluesync upgrades to native CDC APIs featured image](https://molo17.com/wp-content/uploads/2026/05/IBMi_NEW.png)

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.

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)
