Sharding Visualizer
Visualize and analyze database sharding strategies and data distribution
4
Active Shards
Sharding Configuration
216
100K10M
Hash-Based Sharding
horizontal shardingDistribute data using hash function on shard key
Algorithm
hash
Scalability
medium
Complexity
low
Advantages:
- Even data distribution
- Simple implementation
- Good for random access
- Predictable performance
Considerations:
- Difficult to add/remove shards
- Range queries are expensive
- Hot keys can cause imbalance
- No locality preservation
Best Use Cases:
High-throughput OLTP systems, user data, session storage
Data Distribution
Distribution Metrics
Total Records0
Total Size0.0 MB
Avg UtilizationNaN%
Imbalance RatioNaNx
Hotspots0
Performance Impact
Good Distribution
Well-balanced load distribution
Recommendations
• Set up monitoring for shard utilization
• Plan for capacity based on growth patterns