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04

TCO & Sizing Calculator

Rough-order-of-magnitude 3-year cost comparison across five platforms, tuned to your workload profile.

Best Value Platform
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Highest Cost Platform
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3-Year Savings vs Highest
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by choosing best value
Platform Compute Storage ML / AI Pipelines Year 1 Year 2 Year 3 3-Year Total
Key Assumptions & Unit Prices

⚠ Illustrative ROM — based on public H1 2026 list pricing. Actual costs vary by region, negotiated discounts, and committed use. Data egress costs excluded.

Base unit prices (before profile multipliers)

PlatformStorage/TBCompute/userPipeline/dayML modelFTE/mo
Snowflake$6.50¹$120$18$380$0
Databricks$20$130$22$95$4,167
MS Fabric$21$110²$20$150$4,167
AWS Native$18$95$65³$220$8,333
OSS on K8s$15$60$28$75$25,000

Platform licenses (flat/mo): Snowflake $2k · Databricks $1.5k · Fabric $1.8k · AWS $0 · OSS $0

¹ Snowflake compresses ~3.5× ($23 list ÷ 3.5)

² Fabric adds capacity floor: +$800/mo at ≥50 users, +$2,400/mo at ≥150 users

³ AWS Glue DPU-hour model — 0.25 hr/run × $0.44/DPU

Snowflake concurrency multipliers (active users)

UsersMultiplierReason
< 501.0×Single warehouse
50–991.3×Concurrency scaling begins
100–1991.7×Multi-cluster active
200+2.2×Full multi-cluster

Workload profile ML multipliers

ProfileSnowflakeDatabricksFabricAWSOSS
Mixed1.0×1.0×1.0×1.0×1.0×
SQL Analytics2.0×0.8×1.0×1.5×0.5×
ML-First3.5×0.6×1.2×2.5×0.4×
Real-Time1.0×1.0×1.0×1.0×1.0×

FTE assumption: $100k/year loaded cost ($8,333/mo). OSS requires 3 platform engineers. Annual growth compounds variable costs only — FTE and license are fixed.

Estimates are illustrative ROM only — based on public H1 2026 list pricing. Actual costs vary by region, committed use discounts, and negotiated agreements.