Distributed Databases
Replication
Maintain copies of data on multiple nodes:
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Distributed Databases
Learning Objectives
- •Understand distributed concepts
- •Learn CAP theorem
Lesson Outline
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Distributed Databases
Sharding (Partitioning)
Split data across multiple databases:
CAP Theorem
Distributed systems can only guarantee 2 of 3:
- Consistency: All nodes see same data
- Availability: Every request gets response
- Partition Tolerance: System works despite network failures
CAP Trade-offs
| Choice | Sacrifice | Example |
|---|---|---|
| CP | Availability | MongoDB, HBase |
| AP | Consistency | Cassandra, DynamoDB |
| CA | Partition Tolerance | Traditional RDBMS |