PostgreSQL Storage Estimator: How Much Disk Space Do 100 Million Rows + 3 Indexes Require?
Storing 100 million PostgreSQL rows averaging 250 bytes of payload plus 24-byte heap tuple headers, 3 B-Tree indexes, and 20% MVCC bloat buffer requires ~59.3 GB of NVMe storage. Includes interactive SQL Database Storage, Index Overhead & IOPS Size Estimator pre-loaded with this exact scenario plus step-by-step formula breakdown. (Storing 100 million PostgreSQL rows averaging 250 bytes of payload plus 24-byte heap tuple)
In-Depth Analysis — PostgreSQL 100M Row Storage
Storing 100 million PostgreSQL rows averaging 250 bytes of payload plus 24-byte heap tuple headers, 3 B-Tree indexes, and 20% MVCC bloat buffer requires ~59.3 GB of NVMe storage.
Why this scenario matters: Estimate database table storage size in GB, B-Tree index overhead, and 3-year growth for PostgreSQL, MySQL, or D1. Using the pre-loaded interactive SQL Database Storage, Index Overhead & IOPS Size Estimator above, you can test how small adjustments to the baseline inputs impact the final outcome in real time.
Formula & Verification Methodology: Deterministic RFC & standard specification engine. Benchmarked against industry quantitative standards. Compare the 6-tier Reference Benchmark Table above to evaluate conservative, baseline, and aggressive parameter scaling.
Scenario Comparison & Benchmark Table (Database Size Estimator)
Compare how scaling Total Table Rows affects your output (click any row to load those values into the calculator above):
| Total Table Rows | Total Database Storage (Data + Indexes) | Raw Table Heap Size | Index Storage Overhead |
|---|---|---|---|
| 5,000,000 | 2.35 GB | 1.42 GB | 0.93 GB |
| 7,500,000 | 3.52 GB | 2.12 GB | 1.40 GB |
| 10,000,000 (Baseline) | 4.70 GB | 2.83 GB | 1.87 GB |
| 12,500,000 | 5.87 GB | 3.54 GB | 2.34 GB |
| 15,000,000 | 7.05 GB | 4.25 GB | 2.80 GB |
| 20,000,000 | 9.40 GB | 5.66 GB | 3.74 GB |
Mathematical Formula & Step-by-Step Guide
Primary mathematical equation used by this model:
- Enter your Total Table Rows and Average Row Payload (Bytes) (or load Lower (6,000,000), Baseline (10,000,000), Higher (15,000,000) with one click) to establish your baseline scenario.
- Adjust Number of Secondary Indexes to see how the primary result and visual breakdown bar respond in real time.
- Scan the 6-tier Database Size Estimator Reference Benchmark Table below or click Download CSV / Print PDF to save your analysis.
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