COST ESTIMATOR v2.4.1
REAL-TIME OUTPUT
CURRENT STACK PARAMETERS
01
$
e.g. 85000 for $85K/month
02
databases, APIs, streams, flat files
03
total queries executed per month
04
avg 58% reduction rate for Snowflake
LAKEHOUSE PROJECTION
AWAITING INPUT

ENTER MONTHLY SPEND TO INITIALIZE

ESTIMATES BASED ON 847 PRODUCTION MIGRATIONS · RESULTS VARY BY WORKLOAD
LIVE
SCROLL
CURRENT STATE — UNMANAGED

This is what your stack looks like
right now.

COMPUTE CREDITS
$142,880
+38% MoM
STORAGE COSTS
$28,340
+22% MoM
QUERY SCAN FEES
$19,720
+61% MoM
IDLE WAREHOUSES
$31,200
+0% MoM
DATA TRANSFER
$8,940
+14% MoM
SUPPORT TIER
$4,500
+0% MoM
IDJOB NAMESTATUSDURATIONCOSTERROR
job_8820ctransform_events_v3TIMEOUT6h 00m$1,204Query exceeded 21600s timeout
job_8818daggregate_revenue_wkRUNNING11h 33m$2,118No termination — runaway cluster
job_8816eingest_stripe_eventsQUEUED$0Blocked by job_8820c
SIMULATED FROM REAL MIGRATION AUDIT DATA · 847 PRODUCTION ENVIRONMENTS
UNMANAGED
THE TRANSFORMATION
PHASE 01 — COST CONTROL

Runaway spend, stopped cold.

Intelligent workload routing eliminates 58% of compute waste on day one.

BEFORE

Snowflake credits burning at 3× projected rate. No visibility into which queries are responsible.

AFTER LAKEHOUSE

Lakehouse routes every query through a cost-aware optimizer. Idle warehouses auto-suspend in 90 seconds. Credits reconciled to the dollar.

−58%compute spend, week one
LAKEHOUSE MONITOR
LIVE
COMPUTE CREDITS
$59,900
IDLE WAREHOUSES
$1,200
QUERY SCAN FEES
$7,820
AUTO-SUSPEND
ENABLED
COST ALERTS
3 ACTIVE
SAVINGS MTD
$83,000
PHASE 02 — INGESTION

No more 2 a.m. alerts.

Self-healing pipelines with automatic schema drift detection and retry logic.

BEFORE

6 Spark jobs failed overnight. Platform engineer paged at 2:14 a.m. Root cause: schema change in upstream Salesforce object.

AFTER LAKEHOUSE

Lakehouse detects schema drift before it breaks pipelines. Automatic quarantine, root-cause log, and self-heal — no human required.

99.97%pipeline success rate, 90-day avg
LAKEHOUSE MONITOR
LIVE
PIPELINE STATUS
ALL GREEN
SCHEMA DRIFT
AUTO-HANDLED
FAILED JOBS (MTD)
0
LAST INCIDENT
94 DAYS AGO
ONCALL PAGES
0 THIS MONTH
SOURCES ACTIVE
47 / 47
PHASE 03 — GOVERNANCE

Every table. Owned. Documented. Clean.

Unified data catalog with automated lineage, ownership assignment, and quality scoring.

BEFORE

3,200 tables across 14 schemas. No owner tags. No lineage. Finance can't audit the revenue number. Compliance is a quarterly fire drill.

AFTER LAKEHOUSE

Lakehouse auto-catalogs every asset on ingest. Column-level lineage traced. PII flagged. Every table has an owner, a freshness SLA, and a quality score.

100%catalog coverage, day one
LAKEHOUSE MONITOR
LIVE
TABLES CATALOGED
3,200 / 3,200
OWNERSHIP GAPS
0
PII CLASSIFIED
847 COLUMNS
LINEAGE TRACED
FULL DEPTH
QUALITY SCORE
96 / 100
COMPLIANCE READY
SOC2 + GDPR
FINAL STATE — FULLY MANAGED

This is what your stack looks like
after Lakehouse.

One unified dashboard. Every metric green. Zero 2 a.m. pages. Zero unexplained overages. Your engineers ship features instead of fighting fires.

LAKEHOUSE OPERATIONS CENTER — ALL SYSTEMS NOMINAL
UPTIME 99.99%
PIPELINES RUNNING
47 / 47
100% success rate
MONTHLY SPEND
$98,440
−58% vs. baseline
QUERY P99
1.2s
down from 34s
INCIDENTS (30D)
0
last: 94 days ago
DATA FRESHNESS
< 5 MIN
all critical tables
CATALOG COVERAGE
100%
3,200 assets tagged
ONCALL PAGES
0
this month
ENG HOURS SAVED
340 HRS
redirected to product
PRODUCTION RESULTS
847
Production migrations
across all cloud providers
$340M
Cloud spend optimized
for clients in the last 24 months
99.97%
Pipeline success rate
90-day rolling average
< 6 wks
Time to live
from signed contract to production
Meridian Analytics
Financial Services
CLIENT
$1.4M saved
in year one after migrating off Snowflake Enterprise

"The CFO stopped asking about the analytics line item. That alone was worth it."

DR
Daniel Reyes
VP Data Engineering
Northgate Commerce
E-commerce
CLIENT
0 incidents
in 14 months post-migration across 83 production pipelines

"My team hasn't been paged at 2 a.m. since we went live. That's not a small thing."

PN
Priya Nambiar
Head of Platform Engineering
Arclight Health
Healthcare Tech
CLIENT
6 weeks
to full HIPAA-compliant lakehouse from signed contract

"We tried to build this ourselves for 18 months. Lakehouse shipped it in six weeks."

MC
Marcus Chen
CTO
TRUSTED INFRASTRUCTURE FOR
Financial ServicesHealthcareE-commerceSaaSMedia & Publishing
ARCHITECTURE REVIEW

See exactly where your
money is going.

In 45 minutes, our engineers will map your current stack, identify every dollar of waste, and show you a line-item projection for what a managed lakehouse looks like for your workload. No deck. No pitch. Just numbers.

TYPICAL ENGAGEMENT
45 MIN
no-prep architecture call
MIGRATION TIME
< 6 WKS
from contract to production
CONTRACTS
MONTH-TO-MONTH
no lock-in, ever
GUARANTEE
30-DAY
full refund, no questions