Building a better data management ecosystem with IBM Cloud Pak for Data v3.5

By | 2 minute read | November 19, 2020

The launch of IBM Cloud Pak for Data v3.5 has expanded the data management options available to clients. The introduction of two open source databases, EDB and MongoDB, and upgrade of Db2 capabilities create a larger and more flexible ecosystem with the ability to drive greater efficiency and effectiveness. This combination of benefits is perfect for companies seeking digital transformation to keep up with dynamic markets and businesses that are looking for data management savings alike.

A wider range of database options including EDB, MongoDB and Db2

The availability of open source options like EDB and MongoDB as part of a data and AI platform aid digital transformation by allowing DBAs to tailor their database selection to fit new data types and workloads. Expanding the database ecosystem provides more tools specialized for certain jobs. For example, EDB lets you build out custom functions, write code from various programming languages, and define data types without needing to recompile the database. Features for data integrity and fault-tolerance alongside ACID-compliance bolster the enterprise-readiness of the EDB option too. These are both important for innovation because it means a company need not be held back either by a less flexible database or enterprise-level concerns.

MongoDB similarly helps to address rapidly changing data models or schemas and support digital transformation with its ability to let users explore and use JSON data. This helps take data from the Internet of Things and mobile and use them to deliver applications for both operations and insight across several relational and nonrelational data sources. When combined with technologies such as machine learning and AI, this can become a powerful force for digital transformation.

As part of IBM Cloud Pak for Data, this ecosystem of options spans not only data management, but governance and analytics as well. A collection of base services and extensions are available such as Watson Knowledge Catalog and Watson Studio. The presence of these options means it’s not only easier to collect and manage data, but to clean, safeguard and turn it into insight also. This is increasingly important for digital transformation due to the high volumes of data and the need for it to be quickly used for machine learning and AI. Furthermore, with Db2’s in database machine learning operation, the development and deployment of AI applications is accelerated.

Optimizing your database architecture for greater savings and efficiency

IBM Cloud Pak for Data’s bundling of these products together also helps businesses pay less than they might have otherwise if each component was selected individually. The open source database options can also provide a less expensive alternative to some traditional databases. Certainly, when you look at comparisons between EDB and Oracle, you’ll note an absence of long-term contracts with EDB. This greater level of flexibility allows companies to better balance their costs as needed.

Greater flexibility and optimization is also built into Db2 11.5.5. Take storage support as an example. By providing the option of IBM Spectrum Scale, Microsoft Azure Blob Storage, Amazon S3 Cloud object storage, Red Hat OpenShift Container storage and Portworx Db2 gives companies the ability to weigh the cost/benefit considerations and pick the most efficient option to fit their needs. These enhancements to the storage capabilities, build upon the software defined storage capability of Db2 that enables clients to choose storage options based on your performance and scalability needs and scale the storage as needed to reduce costs.

For additional information on IBM Cloud Pak for Data v3.5 watch our recent on-demand webinar.