IBM Db2 Analytics Accelerator for z/OS details
Deep Db2 integration within IBM Z
Deep integration with IBM Db2® for IBM z/OS® can ensure every query workload runs in the most efficient way, and each query is executed in an optimal environment.
High-performance query execution
Transparently routes complex queries from Db2 for z/OS to an optimized high-performance environment. This helps ensure rapid responses for these queries without application changes.
In-database transformation
Helps simplify and reduce your infrastructure by pushing SQL data transformations into the accelerator. Reduces the need to move data across different platforms and simplifies the data transformation process.
Flexible deployment options
Deploy the form factor that best suits your organization’s requirements — either as an appliance on the IBM Integrated Analytics System appliance — and/or directly on IBM Z®.
Advanced data synchronization technique
Integrated synchronization provides an integrated, low-latency data coherence protocol between Db2 for z/OS and the accelerator. This enables analytical queries to run against the latest committed data without delay. Thus, transactional and analytical queries have the same currency of data, ensuring transactionally consistent analytical query results.
Expanded scalability for Db2 Analytics Accelerator on IBM Z
Offers a wide range of scalability, from small single-node to very large multi-node deployments. Any organization, from those with smaller deployments to those with large, demanding workloads, can take advantage of the accelerator’s capabilities.
Customer case studies
Baldor Electric Company
Builds real-time manufacturing capabilities to drive customer satisfaction
SGK (Social Security Institution)
Gains real-time analytics and reduces costs while improving services for citizens
Technical details
Software requirements
The Db2 Analytics Accelerator for z/OS software requires:
- z/OS V2.1, or later
- Db2 V11.1 for z/OS, or later
- Db2 Utilities Suite for z/OS V11.1, or later
Hardware requirements
Minimum hardware requirements must be met for successful installation. Size is determined by:
- Required performance given amount of data
- Number of users
- Complexity of queries
- Their arrival rate
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