Databases Intermediate

What is NoSQL?

A category of databases that store data in non-tabular formats, optimized for specific data models and access patterns.

NoSQL databases sacrifice some relational features for scalability and flexibility. Types include document stores (MongoDB — JSON documents), key-value stores (Redis — simple lookups), column-family stores (Cassandra — wide columns), and graph databases (Neo4j — relationships).

NoSQL databases often provide eventual consistency rather than strong consistency, horizontal scaling, and schema flexibility. They excel at specific use cases like caching, real-time analytics, and content management.

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MongoDB Fundamentals: Building Scalable NoSQL Applications with Document Databases

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SQL for Absolute Beginners

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Redis Fundamentals

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Related Terms

An advanced open-source relational database known for its reliability, feature richness, and standards compliance.

Row-Level Security (RLS)

A database feature that restricts which rows a user can access in a table based on security policies.

The process of copying and maintaining database data across multiple servers for redundancy, failover, and read scaling.

A database object that enables row-by-row processing of query results, useful for operations that cannot be done in bulk.

A database that uses graph structures with nodes, edges, and properties to store and query highly connected data.

A centralized repository optimized for analytical queries that integrates data from multiple operational sources.

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