Replication Cost Calculator

Calculator

Enter your data volumes, replication behavior, and unit rates.

Show advanced options

Base dataset size (GB)

Total data replicated per destination before deltas.

Number of replica destinations

Example: 2 regions, or 1 region + 1 on-prem target.

Replication frequency (hours)

How often changes are shipped (e.g., 1 = hourly).

Daily change input

Use % if you track churn rather than GB.

Daily change value

If % mode, enter 0–100. Otherwise GB/day.

Retention for deltas (days)

Extra storage for versions/snapshots at destination.

Storage rate (per GB-month)

Destination storage price for replicated data.

Transfer rate (per GB)

Replication network egress/transfer cost.

Requests per day

API ops used by replication (PUT/LIST/GET, etc.).

Request rate (per 1,000)

Enter blended request pricing for your workload.

Compute time per run (hours)

Used if replication jobs consume worker/agent time.

Compute rate (per hour)

Example: instance/worker hourly price.

Currency symbol

Example: $, €, £, Rs.

Billing days in month

Use 30.44 for average month.

Advanced options

Compression ratio

2.0 means data shrinks to half for transfer.

Dedup savings (%)

Percent of bytes avoided due to deduplication.

Protocol overhead (%)

Accounts for TLS, headers, retries, etc.

Delta storage factor

1.0 = raw deltas; increase for copy-on-write overhead.

Metadata overhead (%)

Extra space for small objects, indexes, manifests.

Management overhead (%)

Optional add-on for monitoring, tooling, support.

Optional initial seeding / migration

If you pay to ship the first full copy, amortize it.

Include seeding cost

Seeding transfer rate (per GB)

Use a different rate if migration pricing differs.

Amortize over (months)

Spreads one-time costs across your chosen period.

What counts as seeding?

Bulk transfer, import jobs, or initial sync labor.

Example data table

Use this sample scenario to test the calculator quickly.

Scenario	Base (GB)	Change/day (GB)	Replicas	Frequency (hrs)	Retention (days)
Web app backups to two regions	1,000	50	2	1	7
Analytics lake to one archive target	25,000	600	1	6	30
Critical database with short RPO	2,500	180	3	0.25	14

Adjust rates and advanced options to match your provider.

Formula used

The calculator estimates monthly costs using volume and unit-rate components. It models incremental replication transfer, replica storage, request charges, compute time, and optional seeding.

1) Daily change (GB/day)

If % mode: change = base_gb × (percent ÷ 100)
Else: change = gb_per_day

2) Monthly transfer (GB)

transfer = change × days × replicas × dedup_factor ÷ compression_ratio × protocol_factor

dedup_factor = 1 − dedup%/100, protocol_factor = 1 + overhead%/100

3) Replica storage (GB-month)

base_storage = base_gb × replicas
delta_storage = change × retention_days × delta_factor × replicas
replica_storage = (base_storage + delta_storage) × (1 + metadata%/100)

4) Monthly cost

storage_cost = replica_storage × storage_rate
transfer_cost = transfer × transfer_rate
requests_cost = (requests_per_day × days × replicas ÷ 1000) × request_rate
compute_cost = (runs_per_month × hours_per_run × replicas) × compute_rate
total = subtotal + (subtotal × management_overhead%)

How to use this calculator

Enter your base dataset size and number of replica destinations.
Choose a daily change rate in GB or as a percent.
Set replication frequency to match your RPO needs.
Fill in storage and transfer unit rates from your provider.
Optionally include requests, compute time, and seeding amortization.
Click Calculate to view totals and a breakdown.
Download CSV or PDF to share the estimate.

FAQs

1) What does “replica destinations” mean?

It’s the number of separate copies you maintain, such as additional regions, clouds, or backup targets. Each destination usually multiplies transfer, storage, and request activity.

2) Should I enter change rate in GB or percent?

Use GB/day when you can measure actual deltas from logs or snapshots. Use percent/day when you track churn relative to dataset size and it scales with growth.

3) Why does retention increase storage?

Keeping versions or snapshots stores historical blocks or objects. The calculator approximates this as daily change multiplied by retention days, scaled by your delta factor.

4) What is the protocol overhead setting?

It accounts for encryption overhead, request headers, retries, and inefficiencies that increase transferred bytes. If you see frequent retries or small-object replication, use a higher value.

5) Do compression and dedup affect storage too?

They often affect transfer more than stored bytes, depending on your system. This calculator applies compression and dedup primarily to transfer and seeding; storage overhead is modeled separately for clarity.

6) How do I estimate requests per day?

Start with replication logs: object puts, list operations, metadata reads, and integrity checks. Multiply your observed daily API calls by the number of destinations for a reasonable estimate.

7) When should I include seeding cost?

Include it when the first full copy is billable, such as initial migration egress, import jobs, or bulk sync labor. Amortize to reflect the cost over your expected usage period.

8) Is this calculator provider-specific?

No. It’s a generalized estimator that works across vendors. Enter the exact rates, discounts, and minimum billables from your provider to align the estimate with your invoice.