Distributed Databases
Distributed databases store and process data across multiple networked nodes to improve scalability, availability, or locality.
Architectural Styles
- Homogeneous: Same DBMS at all nodes.
- Heterogeneous: Different DBMS implementations across nodes.
Key Issues
- Data fragmentation and replication
- Distributed query processing
- Transaction management and distributed commits
- Network latency and partial failures
Distributed Transactions
Protocols like Two-Phase Commit (2PC) and Three-Phase Commit (3PC) coordinate commits across nodes, but add latency and complexity.
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