Datasheet
Adabas Event Replicator for z/OS: Data updates in real time
Make better decisions by sharing real-time data. Adabas Event Replicator proactively and efficiently delivers data updates in real time. It’s especially valuable when you need to feed Adabas data to a data warehouse or synchronize data between Adabas, popular SQL databases, major RDBMS, JMS and any user-defined destination.
Adabas Event Replicator is a highly flexible event-publishing tool that enables real-time data replication to target systems. It proactively pushes fresh data, based on predefined rules, to automatically transform and deliver selected Adabas data in real time to Adabas, third-party databases, or messaging systems. This true real-time replication automatically updates target applications when changes occur in the production Adabas database.
Key benefits
Reduce operational costs
Adabas Event Replicator publishes discrete data elements and selected content, unlike Change Data Capture (CDC)-based products that replicate data at the table level and process the entire PLOG. By publishing only the changes instead of all data, Adabas Event Replicator for z/OS lowers your overall system costs.
Improve performance
Achieve the high performance you expect from your production applications. Adabas Event Replicator can provide a complete copy of your Adabas production database for read-only queries and reporting by business users. It proactively pushes fresh data to target applications, eliminating impact on production transactions.
Ensure business continuity
By updating hot standby systems at one or more remote locations in real time, Adabas Event Replicator ensures business continuity. It helps you avoid time-consuming recovery procedures in the event of a software or hardware failure, power outage, or natural disaster.
Increase productivity
By feeding changes from Adabas into your data warehouse in real time, Adabas Event Replicator eliminates the need for cumbersome ETL batch jobs that often cause end users to perform business analytics on out-of-date information.
This enables you to:
- Increase business responsiveness to keep customers satisfied
- Improve decision-making with access to the latest data
- Improve high availability
Features
Target adapters
Write replicated data to target RDBMS environments—including DB2®, Oracle®, SQL Server®, MySQL®, Teradata®, Terracotta, and PostgreSQL—with these time-saving adapters. Leverage and manipulate individual data subscriptions to reach multiple targets by defining the source and target handling in the target adapter.
User-defined target adapters
Replicate data to any user-defined destination, such as files, non-relational stores, or real-time streaming platforms. Create your own target adapters using the provided framework and manage them via the Event Replicator standard administration interface.
Initial state/load process
Leverage mass load utilities of RDBMS to create a fast initial state.
Subscription mapping
Easily create fine-grained source-target definitions using Predict metadata; map replication to target table structures; normalize MU/PE data structures; and specify primary or compound keys with this GUI-based mapping tool.
Recovery facility
Count on data and system integrity during planned and unplanned outages with this facility, which restarts/recovers replicated transactions via communication checkpoints between origin and target adapters.
Dynamic data selection
Change replication targets easily as Event Replicator flushes all queues/buffers of replication data and restarts without stopping the replication server or database.
Data security replication
Replicate Adabas security data, so you don’t have to manually keep security up to date. Adabas Encryption for z/OS is also fully supported.
Enhanced data filtering
Allows subscription criteria to be based on partial field values. For example, a delete operation can be handled in a subscription exit by turning it into an update request to the target or by ignoring it entirely.
Re-synchronization
In the event of an interruption, the source database can re-synchronize with the target system by “re-playing” Adabas log data (PLOG).
Process monitoring
Monitor, control, and audit the entire replication process.
Adabas utility support
Data manipulation executed by Adabas utilities on the source database is also replicated to target systems.
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