Azure Table Storage: A NoSQL Key-Value Store
• Uses a schema-less data model, allowing each entity to have different properties.
• Unlike traditional relational databases, it is schema-less, allowing for property addition without modifying a predefined schema.
• Stores data as key-value pairs, uniquely identifying each entity using a partition key and row key.
• Designed for massive scalability, able to handle large amounts of data with high throughput.
• Supports basic querying based on the partition key and row key, but secondary indexes are not natively supported.
• Supports distributed storage across multiple nodes for fault tolerance and performance.
• Common use cases include logging, telemetry data, and scenarios requiring a flexible data model.
• It's important to consider the specific requirements and characteristics of your application when choosing a data store.