IBM Db2

Db2 is a family of data management products, including the relational database. It is famous for running on Mainframes (z/OS) but also runs on Linux/Unix/Windows (LUW).

When to Use

• Legacy/Mainframe: The backbone of banking and insurance legacy systems.
• Hybrid Cloud: IBM’s “Cloud Pak for Data” strategy makes Db2 run anywhere (OpenShift/Kubernetes).
• Analytics: Db2 Warehouse (formerly BLU Acceleration) offers column-store in-memory acceleration.

Core Concepts

BLU Acceleration

Columnar storage + In-memory computing. Drastically speeds up analytics queries without complex indexes.

pureScale

Clustering technology (similar to Oracle RAC) for unlimited scalability and high availability on distributed systems.

SQL Compatibility

Db2 has good compatibility with Oracle PL/SQL, making migrations easier.

Best Practices (2025)

Do:

• Use In-Database AI (2025): Use watsonx.ai integration to run ML models or Vector similiarity search directly inside DB2.
• Cloud Modernization: Move to Db2 on Cloud or containerized Db2 on OpenShift for easier management.
• Administration Foundation: Use the new browser-based admin tools instead of the deprecated Data Studio.

Don’t:

• Don’t ignore maintenance: Runstats (statistics collection) is critical for the DB2 optimizer to pick the right path.

References

• IBM Db2 Documentation