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Which databases are used in the Spatial Computing Technology Stack?
Which databases are used in the Spatial Computing Technology Stack?

Diverse databases for robust data management

Updated over 2 months ago

The stack employs a combination of databases for optimal performance:

  • Data Warehouse: For reporting and analytics.

  • NoSQL: For flexible, non-tabular data storage.

  • AWS Cloud DB: For scalable cloud-based relational databases.

  • SQL: For structured, relational data management.

  • Redis: For real-time caching and data processing.

Each database type is selected for its unique strengths, ensuring that the stack’s diverse data needs are met. Data Warehouses support strategic decision-making by consolidating and analyzing large datasets. NoSQL databases offer flexibility for handling unstructured data, while SQL databases ensure reliable management of structured information. AWS Cloud DB provides scalability and reliability for growing data demands. Redis enhances performance by caching frequently accessed data, ensuring quick response times for real-time applications. This multi-database approach guarantees a robust and efficient data management system.

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