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Data management with IBM Db2

Make your data management easy and flexible with IBM Db2 and get deep insights into your data.

What is IBM Db2?

System for simple and flexible management of your data.

The IBM Db2database is a commercial relational database management system and has been considered the leading data warehouse database in the market for many years. IBM Db2is based on an AI data management system with an integrated data and AI platform.

Why should IBM Db2 be used?

Improved data management to enable faster and more flexible insights into your data.

The major advantages of Db2, besides accelerating data exploration, are its low cost of ownership (containerised deployments with automated management) and productivity gains. Because Db2 is able to meet the highest demands for performance and scalability, it is successfully used by many of our customers.

We are here for you.

Consulting. Strategy. Cloud. Accompaniment.

Decades of experience, partly acquired directly at IBM, distinguish our competence with IBM Db2. Especially when Db2 is used in the data warehouse, our customers can benefit from the wealth of experience of our consultants. Whether technical details, deployment strategies, in the (private) cloud or classically "on-premises", or in technical questions concerning data warehouse architectures: our consultants have the solution.

Here we use IBM Db2:

Technical functionalities of Db2:

A significant further development in recent years has been the introduction of so-called BLU technology, a column-oriented in-memory storage option for data in analytical systems. By means of smart caching, single instruction multiple data (SIMD), data skipping and several other functionalities, the evaluation of data is very close to the hardware and memory-efficient. 

In addition, new functions have been built into the database in recent years that significantly simplify the implementation, administration and operation of the data warehouse. For example, so-called temporal tables are available in Db2 as a functional feature that automatically historises the table contents for Slowly Changing Dimensions as an internal function and stores a time reference for the respective row. In addition, table areas can be automatically assigned to different storage areas depending on how often they are needed (Multi Temperature Data Management).

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