Back to Tools
Database Sizing Tool
Estimate storage requirements, performance characteristics, and sharding strategies for your database workloads.
Database Configuration
Total Storage
19.0 GB
3,650,000 records
Daily Growth
0.05 GB
per day
Read QPS
5,000
queries/sec
Shards
1
recommended
Storage Breakdown
Base Data
Raw data without indexes
7.0 GB
With Indexes
+30% overhead
9.1 GB
After Compression
30% savings
6.3 GB
With Replication
x3 replicas
19.0 GB
Performance Characteristics
Throughput
Read QPS
Concurrent read queries
5,000
Write QPS
Concurrent write queries
2,000
Max Connections
Concurrent client connections
2,000
Latency
Average Latency
Query response time
20ms
Index Lookup
B-tree index traversal
<5ms
Full Table Scan
Worst case scenario
2s
Recommended Sharding Strategies
Hash-based ShardingRecommended
Distribute data using hash function on primary key
Pros
- •Even distribution
- •Simple implementation
- •Good for read/write balance
Cons
- •Difficult to reshape
- •No range queries across shards
Range-based Sharding
Partition data by ranges of key values
Pros
- •Efficient range queries
- •Easy to add/remove shards
- •Intuitive
Cons
- •Hot spots possible
- •Uneven distribution
- •Needs rebalancing
Geographic Sharding
Partition by geographic region or data center
Pros
- •Low latency
- •Regulatory compliance
- •Fault isolation
Cons
- •Complex routing
- •Uneven load
- •Cross-shard queries
💰 Estimated Monthly Costs
Storage
$1.90
~$0.10/GB/month
Compute
$200.00
~$200/instance/month
Total
$201.90
estimated monthly
Export & Integrate
Use this database sizing analysis in your architecture design and projects.