We are pleased to announce that IBM’s Operational Database Management Systems (OPDBMS) was recognized as a 2020 Gartner Peer Insights Customers’ Choice. One of our greatest joys is delivering the advanced data management capabilities clients need to fit the unique needs of their business to drive success.
Customer reviews that contributed to this distinction focused on the implementation strategy, evaluation and contracting, integration and deployment, service and support, and overall capabilities throughout IBM’s OPDBMS suite of offerings and extended data management offerings.
IBM is continuing to double down on the benefits of its offerings with the introduction of Cloud Pak for Data, a focus on AI, and the capability to flexibly access data across an even wider range of sources.
Ease of use
Customer comments that contributed to the Gartner Peer Insights Customers’ Choice distinction indicated a “willingness to recommend” IBM’s OPDBMS. We think this is in part due to the trained teams of experts that partner with our clients to ensure the right fit. This extends into documentation and support that educates a company on solutions or best practices to make the implementation go more smoothly. And should there ever be a question or problem, a robust community of users is available to provide advice.
An example of IBM’s OPDBMS’s ease of use is the IBM Db2 database; Db2 is now even easier to deploy and implement due to recent simplification efforts. There are three versions of Db2 which are all available with the full set of features. Start with the free community edition to test the performance with 4 cores and 16 GB RAM. Since all three editions share a common download if you decide you want to upgrade to the standard edition with 16 cores and 128 GB RAM, or the advanced edition with unlimited cores and RAM, you can do so without app changes or migration. A single command line is used to apply the new license, and each version is based on hardware limits, you can’t unintentionally overshoot them.
Performance and optimization
The list of high-powered capabilities within IBM’s OPDBMS is nearly endless. For example, the compression and data skipping technologies allow businesses to preserve valuable space and avoid processing data not needed for a particular query. This saves both storage costs and time as insights can be delivered faster. Optimization features were also praised by respondents with some going so far as to list it as what they like about Db2 the most.
To deliver even greater performance and optimization, IBM is pursuing a strong focus on AI. Built for and powered by AI, Db2 is driving additional ways to speed competitive advantage. Optimizers are a good example of the “powered by AI” technologies. Where normal query optimizers may continue to suggest the same query path even after it proves to be less effective than hoped, a machine learning query optimizer can learn from experience, mimicking neural network patterns. This helps it constantly improve as opposed to optimizing at intervals.
Built for AI technologies will help users of IBM OPDBMS to take advantage of exciting new opportunities around graph and blockchain. Previously, data would need to be taken out of a relational database and put into a graph database adding cost and time through duplication and migration. Db2 Graph integrates graph functionality into the relational database, eliminating the need to duplicate data, providing a different level of insight than SQL analytics, and providing the ability to update graphs in real-time for transaction processing and analytics. Similarly, the Db2 Blockchain connector links blockchain data stores to Db2 databases opening it up to analysis and use in AI apps.
Access to as much data as possible helps drive better insight by enabling more perspectives to be taken into account. This is doubly true when building out a corpus of data for AI. The way to achieve it is through strong connections between all data sources no matter data management solution they sit within or how they’ve been deployed: on premises, on private cloud, or on public cloud. A hybrid, multicloud approach must be taken.
Using Db2 as part of IBM Cloud Pak for Data makes this much easier. It uses data virtualization, achieved by combining data federation and an abstraction layer, to let users interact with all data from a single access point. All data in this case includes all formats, types, sizes, and locations. Again, the lack of migration saves time and the single access point makes governance much easier by isolating a single point to watch. Cloud Pak for Data is also built on Red Hat OpenShift Container Platform allowing it and Db2 to be run on any cloud supporting RedHat. Moreover, many other solutions across IBM’s AI Ladder are included within Cloud Pak for Data such as Watson Studio Open Scale and can be activated by purchasing more VPCs.
Gartner Peer Insights Customers’ Choice constitute the subjective opinions of individual end-user reviews, ratings, and data applied against a documented methodology; they neither represent the views of, nor constitute an endorsement by, Gartner or its affiliates.