Which technology is primarily used for real-time processing of Big Data? SQL Server MongoDB Apache Kafka Oracle DB

Breakdown of the Problem

1. Identify the context of real-time processing of Big Data.
2. Analyze the technologies provided in the options.
3. Determine which technology is best suited for real-time processing.

Relevant Concepts

• Real-time Processing: This involves the continuous input and output of data, processing it instantly to provide immediate insights.
• Big Data Technologies: Various technologies are designed for handling large volumes of data, but their suitability for real-time processing can vary.

Analysis and Detail

1. SQL Server: Primarily a relational database management system (RDBMS), it is designed for structured data and may not be optimized for real-time Big Data analytics.
2. MongoDB: A NoSQL database that can handle large volumes of data and provides good performance for certain types of queries but doesn’t specialize in real-time processing.
3. Apache Kafka: A distributed event streaming platform capable of handling real-time data feeds. It's designed for high-throughput, fault-tolerant, and low-latency processing capabilities, making it ideal for real-time processing of Big Data.
4. Oracle DB: While it offers real-time analytics capabilities, it typically focuses more on traditional database management and may not match the real-time processing efficiency of Kafka.

Verify and Summarize

Among the options, Apache Kafka stands out for its core functionality in real-time processing of data streams. It is built specifically for this purpose, which is essential in applications requiring immediate feedback based on incoming data.

Final Answer

The technology primarily used for real-time processing of Big Data is Apache Kafka.