**In-Memory Computing**When discussing computers, "in-memory" refers to data storage methods where data is stored in the main memory (RAM) instead of being stored on traditional hard disks. This approach allows for faster data retrieval and processing times, as accessing data in RAM is quicker than accessing it from disk storage. In-memory computing is particularly advantageous for applications that require real-time data processing and analysis.**NoSQL Databases**Here are four databases that fall under the "NoSQL" category, each with unique characteristics:1. **MongoDB**: A document-oriented database that stores data in JSON-like formats. It is highly scalable and allows for flexible querying and indexing.2. **Cassandra**: A wide-column store database designed for handling large amounts of data across many commodity servers, ensuring no single point of failure.3. **Redis**: An in-memory key-value store known for its speed and support for complex data structures like strings, hashes, lists, and sets.4. **Neo4j**: A graph database that excels in managing data relationships. It stores data as graphs, making it suitable for applications with complex interconnections.Each of these databases serves different use cases, providing solutions for various data management needs.

What does "in-memory" mean when talking about computers? Exactly what qualifies as one of them, in your opinion? Give four databases that fall under the umbrella term "NoSQL" and explain what makes each one unique.

What does "in-memory" mean when talking about computers? Exactly what qualifies as one of them, in your opinion? Give four databases that fall under the umbrella term "NoSQL" and explain what makes each one unique.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

**In-Memory Computing**

When discussing computers, "in-memory" refers to data storage methods where data is stored in the main memory (RAM) instead of being stored on traditional hard disks. This approach allows for faster data retrieval and processing times, as accessing data in RAM is quicker than accessing it from disk storage. In-memory computing is particularly advantageous for applications that require real-time data processing and analysis.

**NoSQL Databases**

Here are four databases that fall under the "NoSQL" category, each with unique characteristics:

1. **MongoDB**: A document-oriented database that stores data in JSON-like formats. It is highly scalable and allows for flexible querying and indexing.

2. **Cassandra**: A wide-column store database designed for handling large amounts of data across many commodity servers, ensuring no single point of failure.

3. **Redis**: An in-memory key-value store known for its speed and support for complex data structures like strings, hashes, lists, and sets.

4. **Neo4j**: A graph database that excels in managing data relationships. It stores data as graphs, making it suitable for applications with complex interconnections.

Each of these databases serves different use cases, providing solutions for various data management needs.

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