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Relational Database:
Organizes data into tables with rows and columns, ensuring strong data integrity. Commonly uses SQL for querying.
Document Database:
Stores and retrieves data in flexible, JSON-like documents. Ideal for handling diverse data structures
In-Memory Databases:
Stores data in system memory for faster access. Beneficial for high-performance applications that require rapid data retrieval.
Graph Databases:
Focuses on relationships between data points. Efficiently manages complex relationships often found in social networks or organizational structures.
Time-Series Databases:
Optimized for handling time-ordered data, making it ideal for applications dealing with timestamps and temporal patterns.
Spatial Databases:
Manages spatial data, facilitating efficient storage and retrieval of geographical or location-based information.
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