Compare IBM DB2 pureScale with any other offering being considered for implementing a clustered, scalable database configuration see how they deliver continuous availability and why they are important. Download now!
In this era of digital transformation, business and IT leaders across all industries are looking for ways to easily and cost-effectively unlock the value of enterprise data and use it to deliver new customer experiences while fueling business growth. The digital economy is changing the way organizations gather information, gain insights, reinvent their businesses and innovate both quickly and iteratively.
This white paper discusses the concept of shared data scale-out clusters, as well as how they deliver continuous availability and why they are important for delivering scalable transaction processing support.
IBM's recently released DB2 version 11.1 for Linux, Unix and Windows (LUW) is a hybrid database that IBM says can handle transactional and analytic workloads thanks to its BLU Acceleration technology, which features an in-memory column store for analytical workloads that can scale across a massively parallel cluster.
DB2 is a proven database for handling the most demanding transactional workloads. But the trend as of
late is to enable relational databases to handle analytic queries more efficiently by adding an inmemory
column store alongside to aggregate data and provide faster results. IBM's BLU Acceleration
technology does exactly that. While BLU isn't brand new, the ability to spread the column store across
a massively parallel processing (MPP) cluster of up to 1,000 nodes is a new addition to the technology.
That, along with simpler monthly pricing options and integration with dashDB data warehousing in the
cloud, makes DB2 for LUW, a very versatile database.
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
