Databases and Persistent Storage for Conversation Data
Blog post from Symbl.ai
A conversation-enabled application requires an extensible and scalable storage strategy that doesn't impact availability, performant data access with a 50/50 read/write ratio, and the ability to query relationships between data points. Additionally, considerations such as backup and disaster recovery solutions, regulatory compliance, hybrid or multi-cloud architecture, and data mobility are crucial for deployment and operational aspects. Graph databases can efficiently capture metadata relationships, enabling queries based on relationships between datasets. Data mobility allows for relocation of data from one location to another, ensuring portability and selectivity, which is essential for enterprises with diverse storage requirements.
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