Gartner Reports: Prerelational Database Management Systems, Worldwide IaaS Public Cloud Services and Worldwide Information Security Spending: Gartner Inc.

Position:DATABASE AND NETWORK INTELLIGENCE: OPINION
 
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Organisations Must Replace Their Prerelational Database Management Systems as Part of IT Modernisation Efforts.

Diminishing Skill Base and Increasing Maintenance Costs Drive Data and Analytics Leaders to Look for Modern Options.

Prerelational database management systems (DBMSs) are aging technology, and the number of applications using these systems is declining. The market share for prerelational DBMS products continues to decrease. Gartner, Inc. predicts that by 2020, prerelational DBMS revenue will account for less than I per cent of the overall DBMS market.

"This trend will continue, and more and more organisations will move on to more modern solutions," said Donald Feinberg, vice president and distinguished analyst at Gartner. "Migrating to a modern DBMS offers several benefits, including lower maintenance costs, greater system flexibility and agility, and a bigger skill base. The time is now, and it is urgent to begin modernising systems and databases."

Aging Applications Are Slow, Expensive and Not Compatible There are many factors and motivations for replacing prerelational DBMS technology, the most obvious being that it's simply outdated. Prerelational DBMSs were originally designed for database sizes measured in megabytes and gigabytes. "Managing today's big data systems is too much to ask from software that is decades old," said Mr Feinberg. "In addition, the tools for managing and accessing these large systems don't support prerelational databases. To be used, the data must be moved to a modern DBMS platform, adding additional latency."

In contrast, today's relational database management systems (RDBMSs) support operations such as multiterabyte online transaction processing applications with thousands of concurrent users. The modern engines can do everything the prerelational DBMS can but with added scalability, flexibility and functionality.

"Another factor to consider is the cloud," Mr Feinberg added. "In the era of prerelational DBMSs, the cloud did not yet exist. Today, many systems and applications such as software as a service (SaaS) make use of cloud resources. Services to extract data from or connect cloud data to prerelational databases are rare, so it's almost impossible to bring cloud and prerelational technology together in an effective and economic way. Database platform as a service (dbPaaS) offerings are a valid and up-to-date alternative."

Organisations that do not wish to part with their prerelational DBMS must assign more budget for maintenance and consulting. As the installed base...

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