Database Growth Projection Calculator

Database Growth Projection Calculator

Project future database size from current storage, inserted rows, average row size, index multiplier, WAL or binlog retention, compression, capacity threshold, and the selected forecast window.

Database presetsLoad a common home server workload
InputsUse production averages where possible
Current on-disk size including tables and existing indexes.
New rows kept in the database each day after pruning.
Include payload, row overhead, and common TOAST/blob side data.
0.8 means indexes add 80% of new table data size.
Retained local transaction logs or archive logs.
Percent reduction when estimating compressed backup size.
Forecast length used for future size and growth CAGR.
Usable database volume limit or alert threshold.
Sets the log volume multiplier used for retention storage.
WAL/binlog GB per 1 GB of inserted table row data.
Extra index growth from page splits, deletes, and vacuum lag.
Planning reserve used for the capacity status message.
Core formula: future size = current DB GB + daily inserts x KB/row x projected days + index bloat + retained WAL/binlog. Backup size applies the compression reduction to the projected database plus retained logs.
Future size 0 GB Current plus growth and logs
Growth CAGR 0% Annualized from window
Threshold runway 0 mo Until capacity threshold
Backup size 0 GB After compression reduction
Enter database details to calculate storage runway.
0 GB
Daily table data

Rows per day multiplied by average row KB.

0 GB
Projected index growth

New table data times index multiplier and bloat.

0 GB
Retained logs

Rolling WAL/binlog storage from retention days.

Low
Storage IOPS note

Insert rate produces light write pressure.

Growth breakdown

ComponentFormulaResultStorage role
Table dataRows x KB x days0 GBPrimary growth
IndexesData x index x bloat0 GBQuery speed
WAL/binlogDaily data x log x days0 GBRecovery logs
BackupFuture x compression0 GBBackup target

Database profile assumptions

ProfileLog multiplierIndex rangeBest fit
PostgreSQL WAL0.9x-1.4x0.5x-1.2xApp data
MySQL binlog0.6x-1.1x0.5x-1.5xWeb apps
SQLite0.1x-0.4x0.2x-0.8xSingle node
Time-series0.6x-1.0x0.2x-0.7xMetrics
Analytics logs0.8x-1.8x0.3x-1.0xEvent ingest

Capacity planning signals

UtilizationStatusActionReason
Under 60%ComfortableWatch trendRoom for spikes
60%-80%PlanSchedule growthLess buffer
80%-95%TightAdd capacityOps risk
Over 95%CriticalReduce growthLow free space

Common workload references

WorkloadRows/dayRow sizeIOPS note
Home automation history50k-500k1-4 KBMostly light
MQTT telemetry250k-2M0.5-2 KBSteady writes
NVR event metadata25k-250k4-24 KBBurst inserts
Log analytics1M-10M1-8 KBSSD advised
Projection tipsKeep the model conservative
Use measured row size. Export a sample or inspect table statistics, then include row overhead and common payload fields.
Separate logs from data. WAL and binlog retention can consume storage even when table growth looks modest.
Watch index multipliers. Secondary indexes, full-text indexes, and JSON indexes can grow faster than table data.
Treat IOPS as a signal. High inserts per second plus index writes usually matters before raw GB becomes the only limit.

It’s often just one little mistake that triggers all the problems with storage. Suddenly you start running a telemetry service or installing a new sensor without thinking about disk space. Initially it feels like there’s plenty of room, and then it fills up fastly. Self-hosted projects fails for many reasons, most of which have nothing to do with broken software. The data outgrows your expectations. Plan accordingly so you don’t get caught in crisis mode.

How long before it runs out? That’s where the calculator comes in. It tells you when that will be.

How to Plan Your Storage Space

It translates your row sizes and insert rates into an expiration date. It calculates the cost of index bloat and transaction logs which can consumes just as much room. They often consume as much space as actual table data.

It then lets you know what workload you have. What is your average number of rows per day? For a busy server this could be millions, while on a home system maybe only ten thousand events per day. The total volume is important, but even more important is the size of those entries. A single temperature reading doesn’t consume much room, whereas a complex video event consumes far more then.

Indexes uses a lot of storage. Adding one row updates all the indexes pointing to it. More indexes = more speed, but they gobble up storage faster than just adding rows would suggest. The tool applies a multiplier to account for this. It also accounts for index bloat (waste due to page splits and deleted rows). This is overhead that’s too easily ignored.

“Hey,” you think, “I’ve got a whole year of space left.” But with log files and indexes, it could be only three months.

Another issue is transaction logs. To allow for replication and durability, systems such as MySQL or PostgreSQL maintains these on disk for a period (usually several days, up to weeks). Even when table data remains constant, this log space never shrinks. Your backup plan must account for these logs, which the calculator sizes for you. Compression can reduce backup storage requirement, but won’t affect usage at runtime.

Then there is the output. This is a clear runway. Does it tell you how much longer until you reach the limit? Yes! And that figure is the one telling you what to do next.

If you have a long runway, wait. Short runway: either upgrade hardware or prune some old data.

The reference tables are there for input-checking purposes. How does my workload look relative to typical? Are my numbers far off base compared with norms? Likely you’ve got an indexing problem or an incorrect row size estimate.

Prevention is cheaper than an outage. Grow the storage on your own terms. Don’t wait until 3 a.m. You find that the disk is full.

Look at the tool, and let it tell you what the math looks like. Assume worst-case scenarios. Better to be over-estimating by some amount then under-estimating by the same amount. Make good guesses for your future selfs sake.

Database Growth Projection Calculator

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