Amazon DynamoDB data modeling for Multi-Tenancy – Part 1

This article discusses data modeling strategies for multi-tenant applications using Amazon DynamoDB, focusing on key considerations and best practices for designing efficient and scalable database solutions.

• Multi-tenant applications require careful data partitioning and tenant isolation strategies
• The authors recommend a pool deployment model with a single table for all tenant data
• On-demand capacity mode is suggested as the default approach for multi-tenant applications
• Key steps include:
  • Defining core entities (Ticket, Comment)
  • Documenting access patterns
  • Analyzing performance requirements
• Maintaining a consistent data model across different tenant partitioning models is crucial

The article is part of a three-part series exploring DynamoDB data modeling for multi-tenant applications, with a focus on creating an efficient and scalable solution.