Computer & IT
Analytics Warehouse Storage Calculator
Translate daily raw data into retained raw volume, apply compression and replica count, project ingestion growth through the selected horizon, and reconcile current and forecast storage cost with access and egress charges.
Current retained raw data-
Current stored data after compression and replicas-
Daily raw volume at forecast end-
Forecast retained raw data-
Forecast stored data after compression and replicas-
Current storage cost per month-
Forecast storage cost per month-
Forecast storage, access, and egress cost-
Annualized forecast run rate-
Stored-capacity growth through horizon-
Decision view
Analytics Warehouse Storage capacity forecast
Analytics Warehouse Storage capacity forecastForecast month is horizontal; retained raw volume and stored capacity share one GB scale. Monthly cost is separated into its own chart.
Analytics Warehouse Storage monthly costForecast month is horizontal and modeled storage, access, and egress cost is vertical.
Exact scenario comparisonRetention period (days) changes while all other entered assumptions remain constant.
| Retention period (days) | Current retained raw data | Current stored data after compression and replicas | Daily raw volume at forecast end | Forecast retained raw data | Forecast stored data after compression and replicas | Current storage cost per month | Forecast storage cost per month | Forecast storage, access, and egress cost | Annualized forecast run rate | Stored-capacity growth through horizon |
|---|
Period-by-period detail
analytics warehouse monthly capacity and cost forecast
How to use Analytics Warehouse Storage Calculator
- Measure billable daily ingestion after confirming whether logs, staging files, failed loads, and transformed tables are included.
- Use observed compression and actual physical-copy policy rather than logical table size alone.
- Compare the forecast with partition expiration, archive tiering, materialized views, indexes, and workload-specific access charges.
Calculator guide
Understanding Analytics Warehouse Storage Calculator
Analytics-warehouse storage is not raw ingestion alone: retention, compression, replicas, growth, access charges, and data-lifecycle policy determine the stored footprint and monthly run rate.
Calculation method
How the calculation works
Translate daily analytics warehouse creation into retained raw volume, apply compression and replica count, project monthly growth, and reconcile current and forecast storage capacity and run-rate cost. Multiply daily raw volume by retention days, divide by compression ratio, multiply by stored copies, compound daily ingestion by monthly growth, and apply the entered storage price plus access and egress cost.
Cost-control map
Match each storage lever to its operational consequence
Reducing bytes is useful only when required data and recovery objectives remain intact.
Worked situations
Practical examples
- Ninety retained days of 85 GB per day creates 7,650 GB of raw retention before compression and replicas.
- A 2.5-to-1 compression ratio with two stored copies converts raw retention into a different billable footprint.
- Access and egress can dominate a small warehouse even when storage price per GB is low.
Better inputs
Useful tips
- Reconcile calculator output with provider billing exports rather than catalog metadata alone.
- Separate immutable raw, curated, temporary, and backup storage when they have different retention rules.
- Run a lower-growth case after planned deletion, compaction, or tiering work.
Before relying on the result
Limitations and common mistakes
- Deduplication, micro-partition overhead, indexes, snapshots, time travel, failed loads, caches, and minimum billing units are not modeled separately.
- Growth, compression, pricing, and access charges remain constant in the forecast.
- Query compute, orchestration, observability, and engineering labor are outside storage cost.
Reference
Key terms
- Raw retention
- Daily raw volume multiplied by retained days before compression or replicas.
- Compression ratio
- Entered raw-to-stored reduction factor.
- Replica count
- Number of separately stored billable copies included in the footprint.
- Run rate
- Forecast monthly cost expressed as an annualized reference.
Important note
Calculated from the entered technical values using the displayed model. Validate topology, workloads, capacity, security, redundancy, and observed performance before implementation.
Frequently asked questions
Should I enter logical table size or billed storage?
Use raw ingestion and ratios consistent with the provider's billable physical storage definition.
Are backups included?
Only when they are represented in the entered replica count or daily volume.
Does the result include query compute?
No.
Why is access and egress separate?
Those charges may not scale directly with stored GB and can remain material after storage optimization.