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Asked by Murali Last Modified
Big Data and relational database management systems (RDBMS) serve different purposes and are often used in conjunction rather than as direct substitutes. While Big Data technologies have gained prominence for handling massive volumes of diverse and unstructured data, RDBMS continues to play a crucial role in managing structured data and supporting transactional applications. It's essential to understand the characteristics and use cases of each to appreciate their coexistence:
Use Cases:
Scalability:
Data Variety:
Latency and Real-time Processing:
In summary, rather than replacing RDBMS, Big Data technologies often complement them in modern data architectures. Many organizations adopt a polyglot persistence approach, using different data storage and processing tools based on the specific requirements of each use case. RDBMS remains a critical part of the overall data landscape, especially for applications with structured data and transactional requirements.
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