Calculate your Cloud Data Platform savings with Mosaic

Estimate your 1-year savings and projected impact over the next 3-years.

Mosaic uses intelligent in-memory caching to reduce repeated cloud data platform compute while accelerating analytics performance.

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Why Strategy Mosaic?

Strategy Mosaic's Universal Semantic Layer Savings Calculator helps data leaders, BI teams, analytics architects, and IT executives assess the financial and operational value of modernizing their analytics architecture. By evaluating licensing costs, cloud spend, engineering effort, governance complexity, and AI readiness, the calculator estimates potential savings and productivity gains.

STRATEGY MOSAIC BUSINESS IMPACT

These outcomes reflect operational gains reported by Strategy Mosaic customers, including lower warehouse compute costs from semantic-aware caching, less duplicated metric maintenance across tools, faster KPI delivery, and more reliable AI outputs grounded in governed business definitions.

551%

Average ROI

$3.4M

Average net annual impact

22%

Fewer AI hallucinations

46%

End-user time reclaimed

44%

Fewer redundant metrics

^Sources:^{UserEvidence ROI research}^{across retail, telecom, and financial services customers, and CIO Dive Studio 2026 survey of 100 senior data leaders at organizations with $2B or more in revenue.}

Every dashboard refresh, every repeated query, every calculation shouldn’t reset your budget. Mosaic allows:

Predictable analytics spend as data, users, and Al scale.

Lower warehouse and cloud costs.

No-over provisioning to meet peak demand.

One shared semantic layer across all Bl and Al tools.

Zero disruption with no changes to your existing stack.

Mosaic cuts your costs without changing your stack

Our universal semantic layer sits between your AI agents, BI tools, LLMs, and data, automatically caching repeated queries. When the same analysis runs again, Mosaic serves results from memory.

Find out how much Mosaic can save on your cloud data platform spend

Step 1 — Company Size

What is your annual cloud data platform spend?

🏢

Starter

$100K–$1M / yr

✓

🏙️

Growth

$1M–$10M / yr

🌐

Enterprise

$10M–$50M / yr

Step 2 — Cloud Platform(s)

Select all platforms you use — then set the spend slider to your total combined spend.

✓

Snowflake

Databricks

BigQuery

Azure Synapse

AWS Redshift

Other

Step 3 — Cloud Spend

Total Cloud Platform Spend (all selected platforms)

Combined annual spend across your cloud data platforms

$5.0M

$1.0M$10M

Typical Growth company range: $1M–$10M. Default midpoint: $5M.

Year 1 Savings

Estimated Annual Savings

$1.3M

per year off your consumption bill

% of Bill Saved

26.1%

of total spend

Cloud Spend

$5.0M

across platforms

Queries Deflected

2.2M

per year from cache

Cost Per Query

$1.03

on consumption layer

Variable → Predictable Cost Model

Without Mosaic

Consumption

$1.9M

Cost model

Variable

Year 3

$2.9M

With Mosaic

Consumption

$572K

Cost model

Fixed layer

Year 3

$894K

Mosaic replaces unpredictable query-driven consumption with a fixed semantic layer — every new user, dashboard, or AI agent you add doesn't automatically drive up your cloud bill.

Before vs. After Mosaic

Annual consumption spend

$1.9M

→

$572K

Live queries hitting cloud

1.8M

→

554K

Cost per query

$1.03

→

$0.31

3-Year Cumulative Savings

Cloud spend growth rate:

15%

25%

35%

Year 1

$5.0M spend

$1.3M

Year 2

$6.3M spend

$1.6M

Year 3

$7.8M spend

$2.0M

3-Year Total Savings with Mosaic

As your cloud spend grows, so does what Mosaic saves you

$5.0M

Growth rates: Snowflake 27% YoY (Q3 FY26), Databricks 55% YoY (Series L), IDC 28% CAGR cloud data mgmt, Gartner 25–35% enterprise cloud data spend growth through 2027.

Query Distribution After Mosaic

Mosaic Cache (free)

70%

Live Cloud Queries (charged)

30%

Ready to cut your consumption costs?

Join leading enterprises saving on data warehouse compute while delivering faster analytics