Data Stores

Data Storage Strategy

Multi-Store Architecture

The system uses specialized data stores for different use cases:

MongoDB (Primary Store):

• Document-oriented storage for flexible video metadata
• Rich querying capabilities for complex data relationships
• Atomic operations for data consistency
• Horizontal scaling through sharding

Elasticsearch (Search Engine):

• Full-text search across video titles, descriptions, and tags
• Advanced filtering and aggregation capabilities
• Near real-time search updates
• Distributed architecture for high availability

Valkey/Redis (Cache & Queue):

• Message queues for inter-service communication
• Rate limiting data storage
• Session management and caching
• High-performance in-memory operations

Data Consistency

The system implements eventual consistency between stores:

• MongoDB serves as the source of truth
• Elasticsearch indices are updated asynchronously
• Failed indexing operations are retried automatically
• Data inconsistencies are detected and resolved