{"id":5822,"date":"2022-03-31T01:30:00","date_gmt":"2022-03-31T08:30:00","guid":{"rendered":"https:\/\/en.pingcap.com\/?p=5822"},"modified":"2025-11-14T02:06:42","modified_gmt":"2025-11-14T10:06:42","slug":"why-enterprises-should-move-on-from-legacy-database-infrastructure","status":"publish","type":"post","link":"https:\/\/www.pingcap.com\/ko\/blog\/why-enterprises-should-move-on-from-legacy-database-infrastructure\/","title":{"rendered":"Why Enterprises Should Move on from Legacy Database Infrastructure"},"content":{"rendered":"

Executives around the world have been prioritizing digital transformation, with global spending predicted to reach 2.8 trillion<\/a> U.S. dollars in 2025, up from 1.5 trillion today. At the same time, with enterprises growing rapidly, the volume of data they are collecting, managing, and analyzing daily has increased exponentially. Despite this massive growth, only 30% <\/a>of digital transformation efforts are successful. While numerous factors may impede technological advancements, one common burden continues to be outdated database models that simply cannot keep up with the speed of business growth and the resulting surge of data flooding in. <\/p>\n\n\n\n

Enterprises leveraging legacy databases could be stunting their digital transformation roadmap and, ultimately, their growth. Traditional databases are costly to manage, cannot process large-scale data transactions, and are highly prone to single-point failures. Enterprises must move beyond the use of obsolete technologies to fully embrace digital transformation.    <\/p>\n\n\n\n

<\/span>Drawbacks of obsolete databases   <\/span><\/h2>\n\n\n\n

Modern organizations are rapidly expanding their business by developing new applications, bringing new services to market, increasing their customer base, processing large-scale transactions, and more.  <\/p>\n\n\n\n

To meet these growing business demands, executives must make intelligent and informed decisions in real time. This means that data must be accessible and viewable when it is generated and collected. Through real-time insights, leaders can better understand their business performance, make business decisions based on the freshest data available, and proactively determine how to better cater to their customers or improve their business operations. Unfortunately, the lack of efficient database technology across enterprises often creates barriers to access and results in data silos.  <\/p>\n\n\n\n

Traditional systems designed for on-premise instances struggle to perform data analytics in real-time. These models require extract, transform, and load (ETL) tools and processes to transfer data between unique databases. The ETL process is time-consuming and laborious, as it can take days to complete data migration, and organizations are left making decisions based on outdated collations.   <\/p>\n\n\n\n

Furthermore, this approach can result in failures, out-of-sync issues, and constant, expensive maintenance, causing businesses to lose more money over time. Legacy databases cannot adapt to rapidly expanding data volumes and requests because they are built for smaller amounts of data and users. To alleviate these pain points, enterprises must move beyond obsolete platforms onto those relevant to their present and future needs.  <\/p>\n\n\n\n

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<\/span>Core components of a modern database  <\/span><\/h2>\n\n\n\n

To solve the challenges captured above, enterprises need a flexible and reliable database that will enable them to make faster, more intelligent business decisions. With businesses becoming increasingly complex and supporting larger volumes of data and customer transactions, the ability to access concurrent data and conduct real-time analytics is crucial.  <\/p>\n\n\n\n

There are several key features of a modern database that enterprises should look out for when making their selection: <\/p>\n\n\n\n