Rapid increases in data volume have been observed as technology continues to advance. It has been a significant part of the widespread adoption of technology not just in Asia but also globally.
The global volume of data generated, captured, copied, and consumed grew significantly in 2022, reaching 64.2 zettabytes. Looking ahead to 2025, this figure is projected to exceed 180 zettabytes, indicating a substantial increase in global data creation over the next five years.
The deluge of data has become a critical concern for many businesses, prompting them to seek solutions that can manage and handle vast amounts of data securely and effectively, ensuring data integrity and availability without the risk of loss.
DBMS as a Solution to Data Deluge
Database Management Systems (DBMS) have allowed enterprises to navigate the influx of data. It functions in the background, ensuring that interactions with data are seamless, effective, and dependable. A DBMS is a software application that allows users to efficiently store, manage, and retrieve data. It plays a critical role in ensuring the smooth operation of an organization's data infrastructure.
Additionally, it serves as a mediator between databases, users and application programs, ensuring that data is consistently structured and readily available. Without DBMS, managing the immense quantities of data produced on a daily basis would be disorderly and ineffective.
The origins of DBMS can be traced back to the 1960s, a period when organizations began increasingly utilizing computers in their operations. Several advancements have been made since then, making managing data more convenient and efficient. Currently, emerging DBMS includes NoSQL, NewSQL, and cloud-native databases, each with their own distinct advantages.
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NoSQL Databases
NoSQL databases are designed to efficiently manage and process substantial amounts of unstructured data. NoSQL databases, in contrast to traditional relational databases, do not necessitate a rigid schema, which grants them exceptional flexibility and scalability. This attribute is especially advantageous for Asian businesses that handle a wide range of data formats and constantly changing data needs.
There are four common categories for NoSQL: document databases, graph databases, key-value stores, and wide-column stores; each of which use distinct data models.
NewSQL databases, such as Google Spanner and CockroachDB, seek to integrate the scalability of NoSQL systems with the dependability and ACID (Atomicity, Consistency, Isolation, Durability) characteristics of conventional relational databases. These databases are well-suited for transactional applications that need to be highly available and consistent across distributed environments.
NewSQL databases are gaining major traction in the financial sector, where ensuring transaction integrity is of utmost importance. The deployment of this DBMS is deemed to not only improve operational efficiency, but also strengthen customer trust by ensuring the accuracy and accessibility of data.
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DBMS Use Cases and Implementations
Amid the challenges posed by the data deluge, several companies are leveraging Database Management Systems (DBMS) as a solution to manage and utilize vast amounts of data efficiently. Huawei, for instance, has launched the AI-native database GaussDB and the high-performance distributed storage system FusionStorage, providing robust solutions for data management and storage.
ZTE has been significantly investing in key business areas including databases, with its GoldenDB being implemented in China CITIC Bank's credit card core banking system and planned for deployment in additional core banking systems within the financial sector.
Furthermore, the Indian government is aiming to create a digital map or database to precisely identify the geographic location of each infrastructure element, ensuring efficient coordination and management of these resources.
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Notably, Amazon introduced Amazon Security Lake in May 2023, a service designed to streamline and accelerate security data management across hybrid and multi-cloud systems by consolidating data from AWS environments, SaaS providers, on-premises configurations, and other cloud sources into a dedicated data lake.
Moreover, in 2023, KDDI Corporation chose Oracle Database to modernize its online payment brand, au PAY, and its customer loyalty program, au Ponta Points Program, enhancing their data management capabilities.
Finally, M1, a telecom company, has successfully streamlined over 200 databases into a single data lake, optimizing its data management processes.
These initiatives demonstrate how DBMS solutions are crucial in helping organizations address the complexities of data overflow, ensuring efficient, secure, and scalable data management.
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Future Trajectory
The DBMS market is constantly evolving due to the increasing use of open-source software, the shift towards cloud computing, and the use of hybrid transaction/analytical processing (HTAP). PostgreSQL and MySQL, which are open-source databases, are becoming more widespread. Meanwhile, cloud-based DBMS services are becoming the standard for data management.
Incorporating different database engines into a single DBMS is becoming increasingly popular as this structure enables enhanced adaptability and productivity.
The global DBMS market has consistently been growing due to several factors including the rapid growth in data due to digital transformation, the Internet of Things (IoT), and social media, which requires the use of robust DBMS solutions for efficient management and analysis.
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Additionally, there is a growing demand for scalable, flexible, and cost-effective cloud-native databases due to the increasing adoption of cloud-based solutions. The integration of artificial intelligence (AI) and machine learning (ML) has also contributed to this growth by enabling advanced analytics, predictive insights, and automation. Businesses are compelled to adopt secure and compliant DBMS solutions due to the implementation of strict data protection regulations.
Businesses should prioritize investing in cloud-native and AI-integrated DBMS solutions to ensure strong security measures and compliance with data protection regulations, which will help build consumer trust. Additionally, these solutions offer customizable and scalable options to meet various enterprise requirements. Forming partnerships with technology providers and industry partners will further enhance product offerings and expand market reach, allowing businesses to utilize the full potential of the growing DBMS market.
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