Compare Rocket Data Replicate & Sync vs. BMC AMI Strobe

BMC AMI Strobe

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What is Rocket Data Replicate & Sync?

Stale, inconsistent, or incomplete data slows decisions, breaks reporting, and undermines AI and customer experiences—especially when core records live on the mainframe while new applications run in the cloud. Rocket® Data Replicate and Sync™ keeps hybrid systems aligned by capturing and delivering data changes as they happen across mainframe, distributed, and cloud environments. Key capabilities: • Real-time change data capture (CDC) to replicate updates with low latency • Bidirectional replication and synchronization to keep systems consistent • Connect legacy sources to modern targets such as AWS and Snowflake without custom code • Reduce mainframe costs by offloading downstream processing to cloud compute • Enterprise security and resilience with encryption and built-in recovery controls Results: fresh, complete, accurate data for faster decisions, smoother modernization, and fewer operational surprises.

What is BMC AMI Strobe?

BMC AMI Strobe is a mainframe application performance monitoring solution that helps teams find, understand, and fix performance problems with precise code-level insight. It is built for developers and performance analysts who need to identify inefficient statements, resource-heavy jobs, costly SQL, wait time issues, and production bottlenecks without relying on guesswork. The platform supports shift-left performance management by enabling measurements inside CI/CD pipelines, helping teams catch problems earlier in the software delivery process. BMC AMI Strobe offers comprehensive coverage for mainframe environments that include CICS, Db2, IMS, Java, COBOL, IBM Language Environment, and file access. Its iStrobe browser-based analytics provide visual tools such as CPU usage treemaps, wait reports, tuning categories, and detailed views of statements that consume excessive resources. The Java dashboard helps teams monitor JVM activity, while BMC AMI Strobe Advisor identifies SQL access paths, catalog statistics, high-cost SQL, and Db2 cost information. AutoStrobe improves productivity by making performance measurements predictable, repeatable, and easier to configure for users with different experience levels. Global Batch Monitoring uses SMF data, rolling CPU averages, and elapsed time metrics to detect high-consuming jobs and initiate measurements automatically. The platform also supports soft capacity peak time reporting, helping teams understand R4HA MSU usage and identify what ran during peak periods. Integrations with Jenkins, Azure, REST APIs, extensions, plugins, and JCL cards make it easier to embed performance monitoring into existing DevOps workflows. BMC AMI Strobe helps mainframe organizations improve application performance, reduce resource consumption, prevent service-level issues, and support more efficient modernization practices.