In a rapidly evolving data landscape, traditional relational databases struggle to meet modern demands due to their inability to manage diverse data types and scalability challenges. Businesses require real-time analytics and cloud-native architectures, which traditional systems cannot provide. The growing data explosion, projected to reach 175 zettabytes by 2025, necessitates the adoption of modern database solutions capable of handling unstructured formats, ensuring agile and efficient data management to support AI and analytics.
...traditional databases, such as Oracle and MySQL, are ill-equipped to handle the diverse and exploding data types and volumes businesses encounter today.
As data grows exponentially, traditional systems face difficulties in scaling horizontally, which is essential for managing the massive data modern organizations require.
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