Best Data Replication Software for IBM i

Find and compare the best Data Replication software for IBM i in 2026

Use the comparison tool below to compare the top Data Replication software for IBM i on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Robot HA Reviews
    In the event of an emergency or disaster, quickly switch to your on-premise or cloud backup server, allowing your business operations to resume in just a matter of minutes. Utilize your secondary system to handle nightly backups, execute queries, and carry out planned maintenance tasks without disrupting your primary production setup. You have the flexibility to replicate either your entire production environment or just specific libraries and programs, ensuring that your data is accessible on the target server almost immediately. With the use of remote journaling combined with a high-speed apply routine, Robot HA is capable of replicating an astounding 188 million journal transactions per hour, regardless of the distance—whether physical or virtual—and applies the data instantaneously upon receipt, ensuring that your hot backup remains a real-time reflection of your production environment. This system provides you with the reassurance that you can initiate a role swap whenever necessary. You have the option to manually trigger an audit for the role swap whenever you deem it necessary or schedule it to occur at regular intervals. Additionally, the audit can be customized to focus on the objects that are most critical to your data center, thereby enhancing the overall reliability of your backup strategy and ensuring your business's resilience.
  • 2
    Rocket Data Replicate & Sync Reviews
    A change data capture (CDC), replication, and synchronization solution for hybrid estates. It securely captures and applies sub-second data changes across mainframe, distributed, and cloud systems—enabling real-time and bidirectional replication where needed—so analytics, AI, and operational apps run on current data. Key capabilities: • Real-time CDC capture/apply with low latency • Bidirectional replication and sync across heterogeneous endpoints • Mainframe-to-cloud replication for modernization and migrations • High-throughput pipelines with minimal disruption to production workloads • Delivery to modern targets (e.g., Snowflake, AWS) without custom code • Security + resilience: encryption and built-in recovery controls Outcomes: fresher data for AI/analytics, faster modernization, and lower mainframe CPU by offloading downstream processing to cloud compute.
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