Terminologies Related To Cloud Spanner And Traditional Databases
- Database: Structured collection of data organized for efficient retrieval and management.
- Table: Basic unit of organization within a database where data is stored in rows and columns.
- Row: Single entry or data point within a table, representing a record.
- Column: Defines a specific type of data within a table, representing an attribute.
- Schema: Blueprint defining the structure of a database, including tables, columns, and relationships.
- Primary Key: Unique identifier for each record in a table, ensuring uniqueness and retrieval.
- Index: Data structure enhancing data retrieval speed by providing quick access based on criteria.
- ACID Transactions: Properties ensuring reliability and integrity of database transactions (Atomicity, Consistency, Isolation, Durability).
Cloud Spanner vs. Traditional Databases
Cloud Spanner and traditional databases represent two distinct paradigms in the world of data management. While traditional databases adhere to well-established relational models and are typically deployed on single nodes, Cloud Spanner offers a distributed, horizontally scalable approach to database management. This allows Cloud Spanner to deliver higher levels of performance, global scalability, and strong consistency across geographically distributed data, making it particularly suited for modern, cloud-native applications that require global reach and high concurrency.
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