IDUG EMEA 2026

There are several flavors of compression in Db2 for z/OS.
You can reduce the space required for a table by using data compression. Compressing the data in a table space can significantly reduce the amount of disk space that is needed to store data and can help improve buffer pool performance.
You can also compress your indexes to significantly reduce the physical space requirements for most indexes.
You can also reduce the size of data in a LOB table space to ensure that the LOB table space and its associated base table space remain available for inserting data.
In this presentation you will learn the different algorithms used for compression in Db2, comparing the cost and benefit of each of them. You will learn how to measure the effect of compression, the space savings but also the effect on applications and utility processing and of course the recent changes in the latest versions and function levels of Db2 for z/OS.