Snowflake Native App ecosystem · 2026
Austin · Remote · Global

Data intelligence,
native to Snowflake.

Innovateck builds the Snowtify Suite — a fleet of observability, cost, and catalog apps that live inside your Snowflake account — and provides senior consulting for teams architecting, migrating, and scaling on the platform.

4
Native apps shipping
100%
Your data stays in-account
$249/mo
Full-suite starting price
10+
Years Snowflake depth
Built on · Built for
Snowflake Native Apps Streamlit in Snowflake Cortex AI Snowflake Marketplace dbt Snowpark Snowflake Native Apps Streamlit in Snowflake Cortex AI Snowflake Marketplace dbt Snowpark
Why we exist

The best data platforms don't need another dashboard tool.
They need intelligence that lives where the data already is.

Most data tooling was built for a world where your warehouse was a dumb pipe. You'd extract, transform, export to yet another SaaS, log in somewhere else, and hope the numbers matched.

Innovateck takes the opposite bet. We build inside Snowflake. Our apps are Snowflake Native Apps — they run in your account, on your compute, under your governance. Your data never moves. Your security team doesn't file a ticket.

And when software isn't enough, we show up the old-fashioned way: senior consultants, fixed scope, real deliverables, no six-month discovery phases.

Let's make your data warehouse work harder.

Install a Snowtify app today, or scope a consulting engagement for Q2. Either way, you'll talk to the founder.

The Snowtify Suite · v2.0

Four pillars.
One Native App.
Total data intelligence.

Monitoring, Cost, Catalog, and Access — one Snowflake Native App with four sidebar pillars. Priced for real teams, integrated so tightly the apps share context: a stale table doesn't just alert, it shows up in your cost report as wasted compute. Install from the Marketplace; your data never leaves your account.

4
Sidebar pillars
1285
Release cycles shipped
0
Outbound data flows
1-click
Install & upgrade
The Suite

Built as a system, not a stack.

Each app is powerful on its own. Installed together, they share context: the catalog knows your cost, the monitor knows your usage, and the dashboards finally agree.

Flagship

Snowtify Monitoring

AI-powered data quality, SLA tracking, and health scoring for every table in your warehouse.

  • Automated freshness, volume, and schema checks
  • Cortex AI root-cause analysis on every incident
  • SLA heatmaps & A–F health grades per table
  • Alerts to Slack, Teams, PagerDuty, and email
  • Status page generator for stakeholder comms
Cost intel

SnowGuard Cost Intelligence

Warehouse spend tracking, anomaly detection, and waste-hunting — with CFO-ready narratives.

  • 7-category waste detection with dollar estimates
  • Warehouse & query-level cost attribution
  • Spend anomaly alerts before the invoice lands
  • AI-generated executive summaries
  • Storage cost forecasting at $23/TB benchmarks
Discovery

SnowCatalog

Auto-cataloging data discovery with column profiling, PII detection, and ownership tracking.

  • Auto-generated catalog across all schemas
  • Column-level profiling & sample distributions
  • AI-powered PII & sensitive-data detection
  • Ownership, lineage, and access-pattern graphs
  • Cross-app: shows health grades & cost inline
Access intel

SnowAccess

Access audit, role-grant drift, privilege escalation detection, and dormant-account flagging — one schema, one source of truth.

  • Continuous access audit across every role
  • Role-grant drift detection vs. baseline
  • Privilege-escalation alerts in real time
  • Dormant-account & orphaned-grant flagging
  • Per-table, per-role access timelines
Built across 1285 release cycles

Mature where it matters.

Snowtify is not a Friday-afternoon side project. The codebase has shipped one cycle per invocation, daily, for over two years — with structural tests, behavioral tests, and a hard rule that every cycle ends in a user-visible change.

1285
Cycles shipped

One per invocation. Daily cadence since v0.

14
Cross-pillar consumers

Adoption receipts across Monitoring, Cost, Catalog, Access.

4
Sidebar pillars

One Native App, four user-facing pillars.

0
Outbound flows

Zero requests.post. Zero exfil. By design.

~daily
Release cadence

5-agent loop · QA-gated · circuit-broken on drift.

Recent cadence.

cycles 1225 → 1285 · rolling 60-cycle window
cycle 1225 cycle 1255 cycle 1285 (today)
/* the codebase explains itself */ CALL SNOWTIFY.INSTALL();
Live in your account

Read your warehouse. Out loud.

Snowtify queries ACCOUNT_USAGE the way your senior engineer would — then asks Cortex to rewrite it. No data leaves the account.

snowsql · SNOWTIFY_ADMIN · ACCOUNTADMIN
snow>
Why it matters

One suite. One context.

Other tools sell you four products and call it a platform. With Snowtify, the apps actually talk to each other — through native Snowflake GRANTs, not webhooks or integrations you have to configure.

Browse SnowCatalog, and you'll see health grades from Snowtify Monitoring and cost estimates from SnowGuard — inline, next to every table. No tab-switching. No mental context-rebuild.

SnowCatalog › Schema: RAW.EVENTS
TableHealthCost/moPII
customer_orders A $412 yes
session_events B $1,240 none
stripe_invoices A $87 yes
legacy_export_v1 D $2,890 none
user_profiles B $156 yes
clickstream_raw C $3,412 none
Pricing

Priced for real teams.

One price for the whole suite. No per-seat games. No "contact sales" mystery. Cancel in the Marketplace anytime.

Free
Kick the tires. No card required.
0 forever
Limited to 50 monitored objects
  • Snowtify Monitoring (core)
  • SnowCatalog (read-only)
  • Slack & email alerts
  • 14-day history
  • Community support
Install free
Enterprise
For enterprise data platforms.
$ 599 / month
Includes Usage Tracker + priority support
  • Everything in Pro
  • Snowtify Usage Tracker (BI)
  • White-label status pages
  • SSO / SCIM
  • Priority SLA (4h response)
  • Quarterly review with founder
  • Dedicated Slack channel
  • Custom Native App development credits (4 hrs/mo)
  • On-call data architect office hours
Start Enterprise
Find the money

Your Snowflake savings, modeled live.

Drag the sliders. We'll model recovered waste against industry benchmarks (18–32% of monthly spend) and show payback against the Pro and Enterprise tiers. No backend, no signup — the math runs in your browser.

Inputs

Drag · your numbers stay local

Monthly Snowflake spend $50,000
Number of warehouses 12
Team size 25
// benchmark range applies SNOWGUARD waste posture: 18–32%

Modeled savings

Annual recurring · conservative band

$9,000 / mo recovered
Conservatively, $9k$16k a month, or $108k$192k annually — modeled against 18–32% waste benchmarks for your spend, fleet, and team.
Payback vs. Pro $249/mo ≈ 0.8 days/mo
Payback vs. Enterprise $599/mo ≈ 1.9 days/mo
Idle warehouses$2,250
Oversized clusters$1,800
Query inefficiency$1,500
Storage rot$900
Redundant pipelines$1,050
Zombie dashboards$750
Dev-env sprawl$750
Try it

Health-grade simulator.

Move the thresholds and watch six toy tables re-grade in real time. Same scoring model as production Snowtify Monitoring — just running in the browser instead of a Streamlit-in-Snowflake app.

Thresholds

Freshness threshold 6 hrs
Size threshold 100 GB
// grade = f(freshness, size, drift, null_rate)
// F = stale && oversized
// A = fresh && well-sized
TableGrade$/moStatus
Architecture

Compute. Metadata. All in your account.

Snowtify is a single Snowflake Native App with four pillars. It reads your ACCOUNT_USAGE, ORGANIZATION_USAGE, and GRANTS_TO_ROLES through reference-usage grants — never through HTTP.

YOUR SNOWFLAKE ACCOUNT · PERIMETER ACCOUNT_USAGE ORGANIZATION_USAGE GRANTS_TO_ROLES QUERY_HISTORY ACCESS_HISTORY Snowtify NATIVE APP SP_SCAN_ACCOUNT SP_GENERATE_RECS SP_COMPUTE_HEALTH CORTEX.COMPLETE Monitoring Cost Catalog Access — ZERO OUTBOUND HTTP · ZERO PIPELINES · ZERO EGRESS —
All compute. All metadata. All in your account.
Built the right way

Why Native Apps matter.

The architectural choice behind Snowtify isn't incidental. It's the product.

i.

Your data never leaves

Snowtify runs entirely inside your Snowflake account. No outbound HTTP. No metadata exfil. No third-party SaaS with its own breach surface. Your security team will actually smile.

ii.

Install in one click

Find it on the Marketplace, click install, run the unified onboarding wizard. No Terraform. No service accounts. No pipelines to build. You're monitoring within 10 minutes.

iii.

Governed by you

Every Snowtify app respects your existing RBAC, masking policies, and network rules. We can't bypass them — by design. It's your account, your rules, our code.

The suite installs itself.

Find Snowtify on the Snowflake Marketplace, or let us walk you through it on a 20-minute call.

Pillar 01 · Monitoring · Flagship

Watch every table. Grade them all. Hear about it first.

Snowtify Monitoring is the original product — data quality, freshness, schema drift, and SLA tracking on every table in your warehouse. Cortex AI writes the root-cause analysis for you. Status pages publish themselves. You stop being the last to know.

AF
Per-table health grade
<60s
Alert latency p95
14+
Built-in check types
freshness checks
Health grades

Every table gets a letter grade.

We score freshness, completeness, schema stability, drift, and access. Then we compress all of it into a single A–F grade so engineers, analysts, and execs can speak the same language at standup.

  • Composite score: freshness 25% · completeness 20% · drift 20% · access 15% · cost 20%
  • Recomputed on every load + nightly drift sweep
  • Grade history retained 365 days for trend analysis
  • Cortex-written natural-language explanation per grade
SP_COMPUTE_HEALTH_SCORES()
customer_orders · last computed 12:42
A−
Freshness97%
Completeness99.4%
Drift0 events / 30d
SLA breach riskLow
Cortex root-cause

Every incident explains itself.

When a table breaches its SLA, Cortex doesn't just alert — it writes a one-paragraph explanation that names the upstream job, the rows that changed, and the engineer to ping. Senior-engineer briefings, automated.

  • Fallback chain: AI_COMPLETE → CORTEX.COMPLETE → static template
  • Cites upstream job, query history, and last good run
  • Tags the owner role + Slack handle from your directory
  • One-click "Acknowledge with note" updates the status page
ALERT-291 · session_events · freshness breach
01// Cortex root-cause · auto-generated 02DETECTED stale partition on session_events 03last successful load: 2h 14m ago 04upstream: DBT_ANALYTICS.stg_sessions 05cause: source S3 prefix returned 0 files 06 between '10:00' and '12:14' 07owner role: ANALYTICS_ENG · oncall: '@maya' 08recommendation: replay job load_sessions 09 CALL REPLAY('load_sessions', '10:00');
Auto monitors

14 check types. One install.

Snowtify ships with freshness, row count, null-rate, distinct count, schema drift, uniqueness, referential integrity, range, deviation, custom SQL, source-vs-target, file landing, ML anomaly, and SLA monitors. They wire themselves on install.

  • Sensible default thresholds drawn from ACCOUNT_USAGE
  • Tune in the UI or version-control in YAML — up to you
  • Time-Travel forensics scrub on every breach
  • Pre-flight clone diff before merging a dbt PR
Snowtify · monitors enabled (rolling 30d)
Freshness412
Row count338
Null rate301
Schema drift224
Uniqueness168
Referential141
Custom SQL102
ML anomaly63
Real shapes

Where teams put it to work.

stack: dbt + Fivetran

Catching silent failures in dbt nightlies.

A mid-market fintech wired Snowtify to their dbt run table. Within a week we surfaced 6 silent failures that had been corrupting a finance dashboard for 38 days.

stack: Streaming Snowpipe

Freshness for real-time pipelines.

A logistics team replaced a brittle pager-duty integration with Snowtify freshness monitors on Snowpipe-fed tables. MTTA dropped from 17 minutes to under 2.

stack: dbt + Cortex

Cortex-explained schema drift.

A platform team uses Snowtify's schema-drift monitor + Cortex narrative to file PRs automatically against affected dbt models within minutes of the source change.

Install Monitoring. Or all four, while you're there.

One Native App, four pillars, one upgrade path. Monitoring is the front door; the rest light up the moment you grant the suite.

Pillar 02 · Cost · SnowGuard

Find the wasted credits. Before the invoice.

SnowGuard reads ACCOUNT_USAGE.WAREHOUSE_METERING_HISTORY the way a senior architect would. Seven waste categories, dollarized; spend anomalies caught two weeks before the bill; CFO-ready narratives generated by Cortex.

7
Waste categories
18–32%
Recovered range
$23/TB
Storage forecast benchmark
idle warehouses
Spend anomaly detection

Spot the spike two weeks before billing closes.

A 2.4σ deviation on WH_INGEST at 11pm Tuesday becomes a Slack message at 11:02pm. Cortex names the user, the query, and the budget impact — in plain English.

  • Per-warehouse and per-role z-score against 28-day baseline
  • Configurable alert thresholds: σ, % deviation, dollar floor
  • Adaptive seasonality — respects business-day patterns
  • Forecasted month-end credit posture, updated daily
SNOWGUARD.SPEND_ANOMALY()
WH_ANALYTICS · 28-day credit trend
Today: $4,210 / day+18% vs 28d avg · flagged
Waste hunter

Seven kinds of waste. Dollarized.

Idle warehouses, oversized clusters, query inefficiency, storage rot, redundant pipelines, zombie dashboards, dev-environment sprawl — each category gets its own dollar estimate, plus a one-click "apply fix" where it's safe.

  • Each finding lists exact tables / queries / warehouses to act on
  • "Apply fix" wraps the change in a transaction with rollback
  • "What changed?" diff before and after every action
  • Monthly CFO export (PDF) auto-generated by Cortex
SnowGuard · waste breakdown · current month
Idle warehouses$4.1k
Oversized clusters$3.4k
Query inefficiency$2.7k
Redundant pipelines$2.1k
Storage rot$1.8k
Zombie dashboards$1.3k
Dev-env sprawl$1.0k
CFO narratives

A monthly cost story your CFO will actually read.

First-of-the-month: SnowGuard hands you a Cortex-written executive summary — "Spend rose 6.4%, three drivers. Two are temporary. Here's the projection for next month with confidence bands."

  • Two-page PDF, plain prose, no jargon
  • Trend + chargeback + forecast in three sections
  • Pre-loaded with your fiscal calendar & reporting tags
  • Distribution: Slack DM, email, or Teams — pick once
Cortex narrative · cfo_report_2026_04.md
01# April 2026 — Snowflake cost story 02 03Spend rose +6.4% month-over-month. 04 05Three drivers explain 87% of the change: 06 · Marketing data lake rebuild — temporary 07 · Two oversized warehouses — recoverable 08 · CDC backfill from Postgres — one-off 09 10Projection May: $48,100 ± $2,400 (90% band)
$9.4k
Average monthly waste recovered (mid-band)
Calibrated on $50k/mo spend, 12 warehouses, 25-person team. Drop the calculator on the Overview page for your numbers.

Plug SnowGuard in. Pay back the install in week one.

SnowGuard runs alongside Monitoring and reads the same ACCOUNT_USAGE views — zero extra wiring, zero extra grants beyond what you already gave us.

Pillar 03 · Catalog · SnowCatalog

Every table, discovered. Every column, profiled. Every owner, named.

SnowCatalog walks your schemas the day you install it. Column-level profiling. AI-detected PII. Ownership graphs. Lineage from raw to gold. And health grades + cost shown inline, because data discovery without context is a glorified spreadsheet.

auto
Schema discovery
12+
PII detectors
cross-app
Health · cost inline
column profiles
Auto-discovery

Catalog yourself in under 30 seconds.

First run walks INFORMATION_SCHEMA.TABLES, VIEWS, COLUMNS and assembles a complete catalog. Every subsequent run is incremental: ~6s on 50k-table warehouses.

  • Catalog refresh runs on a Snowflake Task you control
  • Object descriptions auto-drafted by Cortex; you accept/edit
  • Tags inherited from upstream tables when lineage is unambiguous
  • Search across name, description, owner, tag in one query
CALL SNOWCATALOG.SCAN()
lineage · ANALYTICS.DAILY_REVENUE
stripe_raw users · PII events stg_revenue daily_revenue
PII fingerprints

Find every place a social security number is hiding.

SnowCatalog runs 12+ pattern detectors over your column samples and emits a sensitivity score for every column. Cortex confirms the marginal cases. You get a single inventory of where PII actually lives.

  • SSN, credit card, email, phone, address, DOB, IP, MAC, IMEI, GUID, name, password
  • Pattern + ML classifier + Cortex review — three layers
  • Sample masking at detection time — we never store the value
  • Output routes to your tag & masking policy — or just to a report
PII heatmap · 196 columns scanned · 14 flagged
Ownership graphs

Find the human responsible. Quickly.

SnowCatalog crosses GRANTS_TO_ROLES with QUERY_HISTORY and ACCESS_HISTORY to infer ownership when you haven't tagged it explicitly — then surfaces it on every table page.

  • "Likely owner" = creator + last 30d writer + dbt model author
  • Slack/Teams handle inferred from your directory schema
  • One-click "ask owner" message with full context
  • Override + lock so the graph stays sane after churn
customer_orders · ownership inference
01// inferred ownership graph 02table: ANALYTICS.customer_orders 03creator: 'priya.kapoor' (2024-08-11) 04top writer 30d: 'svc_dbt_prod' (412 writes) 05dbt model: models/marts/customer_orders.sql 06dbt owner: 'analytics-eng' 07 08RESULT · likely owner: @priya · ping?

Browse your warehouse. The way you wish you'd written the docs.

SnowCatalog ships with every Snowtify install. Profiles, lineage, PII, ownership, in one queryable place — with Monitoring and SnowGuard signals inline.

Pillar 04 · Access · SnowAccess

Every role. Every grant. Every minute.

SnowAccess is the newest pillar — continuous access audit, role-grant drift detection, privilege-escalation alerts, dormant-account flagging. Built for the security team that doesn't want to be a query writer to do their job.

continuous
Audit cadence
365d
Default retention
SOC2
Type II ready
grant drift
Grant drift detection

Snapshot your RBAC. Watch it drift. Catch it early.

Set a baseline. SnowAccess snapshots GRANTS_TO_ROLES hourly and tells you the moment something changes that shouldn't have — including grants made by users who shouldn't be making grants.

  • Baseline as code (YAML) or as a captured snapshot
  • Diff every hour; alert on policy-violating mutations
  • Time-series replay of grants for any role over 90d
  • One-click revert wrapped in a transaction
SNOWACCESS.GRANT_DRIFT()
role · ANALYTICS_RW · grant timeline 30d
day -28baseline
day -21stable
day -14+1 grant
day -7+2 grants
day -2flag
todayalert
Privilege escalation

Spot the sudo moment.

When a role grants itself something it shouldn't have, or someone uses USE ROLE to step into a privileged role at 2am for the first time in 30 days, SnowAccess sees it and pages security — with the full action chain attached.

  • Behavioral baseline of role-usage patterns, per user
  • "First time in 30 days" + "outside business hours" + "from new IP"
  • One-click time-travel replay of the session
  • Routes to PagerDuty, Slack, or a SIEM via Snowflake stages
SECURITY_ADMIN · privilege escalation feed
01// 03:14 UTC · security feed 02USE ROLE SECURITY_ADMIN 03 by user: 'kyle.rosen' 04 last seen for this role: 42 days 05 ip: '73.118.x.x' (new) 06 followed by: 07 GRANT ROLE SECURITY_ADMIN TO 'svc_etl' 08 classification: SUSPICIOUS · routed to PagerDuty 09 replay: SNOWACCESS.SESSION('kyle.rosen', 03:14)
Dormant accounts

Find the ghosts. Deactivate them.

Every account that hasn't logged in for 90 days. Every role with no recent USE ROLE. Every service account whose only recent activity is the heartbeat ping that proves it's still configured.

  • Per-account last login, last query, last grant exercise
  • Service-account "actually used" detector (excludes heartbeats)
  • Suggested action: disable, downgrade, or notify owner
  • Monthly access review report in Cortex-narrative form
dormant accounts · last 90d
LEGACY_ANALYST187d
OLD_ETL_USER142d
SVC_FORMER_VENDOR128d
QA_DEMO_ROLE99d
M_PEREZ_OFFBOARD92d
0
External SaaS access required
SnowAccess runs entirely inside your account. Your security team's lawyers will appreciate that.

Lock down access. From the same install.

SnowAccess is included with Snowtify Pro and Enterprise. No additional licenses, no separate scan permissions, no four-month procurement cycle.

Pricing · plans · cancel anytime

Three tiers. One marketplace checkout.

All four pillars on Pro and Enterprise. Free is functional, not a 14-day trial that expires on you. Pay through the Snowflake Marketplace; cancel in the same screen. No PO forms, no procurement dances unless you want them.

Tip: this page mirrors the pricing block from the Overview tab so you can deep-link teammates and finance directly here.

Free
Kick the tires. No card required.
0 forever
Limited to 50 monitored objects
  • Snowtify Monitoring (core)
  • SnowCatalog (read-only)
  • Slack & email alerts
  • 14-day history
  • Community support
Install free
Enterprise
For enterprise data platforms.
$ 599 / month
Includes Usage Tracker + priority support
  • Everything in Pro
  • Snowtify Usage Tracker (BI)
  • White-label status pages
  • SSO / SCIM
  • Priority SLA (4h response)
  • Quarterly review with founder
  • Dedicated Slack channel
  • Custom Native App development credits (4 hrs/mo)
  • On-call data architect office hours
Start Enterprise
Frequently asked

The boring questions, answered.

Q1
Is the Free tier real?
Yes. 50 monitored objects, indefinite. No upgrade nag, no banner ads, no time limit.
Q2
Where is my data while Snowtify runs?
In your account, on your compute, under your governance. There is no outbound HTTP.
Q3
Does Cortex see my data?
Only what your role lets it see. Cortex runs inside Snowflake; same boundary as Snowtify itself.
Q4
Can I bring my own warehouse?
Yes — configure SNOWTIFY_WH or point it at an existing warehouse during the unified onboarding wizard.
Q5
Annual discount?
17% off either tier. Cancel anytime in the Marketplace dashboard.
Q6
Enterprise procurement?
If you need an MSA, SOC2, vendor questionnaire — email the founder and you'll have it the same week.

Already installed? Skip the form.

If you've got the Free tier today, upgrading to Pro is a single click in the Marketplace listing. The new pillars light up immediately; your existing monitors carry over untouched.

Data intelligence & architecture

Senior Snowflake consulting.
Fixed scope.
Delivered by the founder.

Most data consulting is a six-month discovery phase dressed up as a statement of work. We do the opposite: scoped packages, clear deliverables, flat pricing, and a senior engineer on the tools from day one.

Everything below is Snowflake-native. If your problem is adjacent — Databricks, Redshift migration, data governance — we'll still talk. If it's outside our lane, we'll tell you that too.

Packages · 2026

Ten ways to accelerate.

Package 01 · Flagship 2 weeks

Snowflake Accelerator

The complete greenfield setup — from first login to production-ready. Warehouse sizing, role hierarchy, resource monitors, network policies, naming conventions, and a reference pipeline that your team can extend. Everything documented, everything reviewed.

  • Account-wide RBAC design with functional + access roles
  • Warehouse + resource-monitor strategy with kill-switches
  • Reference dbt project with CI/CD to GitHub
  • 90-page runbook: ops, onboarding, incident response
  • Two live workshops with your engineering team
FLAT $15,000
Book scoping call →
02 · Finance 1 week

Cost Audit

One week, one deep look at your bill. We identify the top waste vectors, model savings, and hand you a 90-day action plan.

  • Executive cost report
  • Waste-by-warehouse breakdown
  • 90-day savings roadmap
FLAT $8,000
Start →
03 · Engineering 2 weeks

Performance Tuning

Your slowest queries, profiled and rewritten. Clustering keys, materialized views, search optimization — applied where they actually matter.

  • Top-20 slow query rewrites
  • Clustering strategy
  • Query profile walkthroughs
FLAT $12,000
Start →
04 · Architecture 4 weeks

Data Architecture Blueprint

A month-long architecture engagement for teams ready to build the warehouse right. We design your medallion layers, modeling conventions, dbt project structure, governance framework, and analytics engineering playbook — tailored to your business, not a generic template.

  • Medallion (bronze / silver / gold) architecture
  • Source-to-mart data modeling patterns
  • dbt project structure + macros library
  • Naming & documentation conventions
  • Governance framework: RBAC, tags, masking
  • PR review process + CI/CD templates
  • Team enablement: 3 deep-dive workshops
  • 90-day rollout roadmap with owners
FLAT $35,000
Scope this →
05 · Migration 8–16 weeks

Migration to Snowflake

From Redshift, BigQuery, Synapse, on-prem SQL Server, or legacy Hadoop. We plan the cutover, convert the DDL and DML, migrate the data, re-platform the pipelines, and run parallel operations until you're ready to decommission the source.

  • Source assessment + migration strategy doc
  • DDL/DML conversion with automated tooling
  • Historical + CDC data transfer
  • Parallel-run validation framework
  • Cutover playbook + rollback plan
STARTING AT $50,000
Request scope →
06 · AI 4–6 weeks

Cortex AI Integration

Put Snowflake Cortex to work on your data — without leaving the warehouse. We build production-grade RAG pipelines, text-to-SQL agents, summarization workflows, and forecasting models. All grounded in your governed data, all running on Cortex.

  • Use-case discovery + ROI modeling
  • RAG pipeline with hybrid search
  • Text-to-SQL agent with guardrails
  • Graceful fallback chains (AI_COMPLETE → CORTEX.COMPLETE → static)
  • Monitoring + eval harness
FLAT $25,000
Book intake →
07 · Product 6–10 weeks

Native App Development

We build the Snowflake Marketplace Native Apps we're known for — for your product, your data, your customers.

  • Architecture + Streamlit UI
  • Marketplace listing prep
  • HMAC licensing + tiering
STARTING AT $40,000
Discuss →
08 · Security 3 weeks

Governance & Compliance

PII detection, masking policies, row-level security, tag-based governance, and audit logging — set up for SOC2 or HIPAA readiness.

  • PII inventory + masking
  • Row-access policies
  • Audit + lineage setup
FLAT $20,000
Start →
09 · Leadership Ongoing

Fractional Data Leader

One to two days a week, embedded with your team. Architecture reviews, mentorship, roadmap ownership, vendor management. The senior hire you can't fill yet.

  • Weekly architecture reviews
  • Team mentorship + 1:1s
  • Quarterly roadmap ownership
RETAINER $8,000/mo
Inquire →
10 · Enablement 2–3 days

Team Training

Custom Snowflake curriculum for your team — from SQL fundamentals to Snowpark, Cortex, and advanced performance topics. Remote or onsite.

  • Custom curriculum design
  • Hands-on lab exercises
  • Certification prep materials
FLAT $10,000
Book →
Find your fit

What would you build?

Three questions, no email gate. We'll suggest 1–3 packages from the bento grid above and pre-fill an email to the founder so you can hit send.

How big is your data team?

How we work

Four steps. No surprises.

i.

Scoping call

30 minutes with the founder. You describe the problem; we confirm fit or refer you elsewhere.

ii.

Written proposal

Within 72 hours: scope, deliverables, timeline, flat price. No phase-two sales pitch hidden inside.

iii.

Kickoff & build

Senior engineering on the keys from day one. Weekly async updates, live sessions on demand.

iv.

Handoff & warranty

Runbooks, docs, walkthroughs. 30-day warranty on every deliverable at no extra charge.

Got a Snowflake problem we didn't list?

Custom engagements welcome. The worst we'll say is "that's outside our lane" — and then we'll tell you who to call instead.

Package 01 · Flagship · 2 weeks · $15,000 flat

From day one to production, in two weeks.

The Snowflake Accelerator is the complete greenfield setup. We design the account, build the RBAC, stand up the warehouses, wire the resource monitors, ship a reference dbt project, and hand you a 90-page runbook your team can actually use. No discovery month, no slide phase.

Duration
2 weeks
Price
$15k flat
Delivery
Founder-led
Warranty
30 days
Deliverables

What you'll actually receive.

01
Account topology
Organization, account, database, schema, and stage hierarchy designed to your business shape — not a generic template.
02
Functional + access RBAC
Two-layer role design: functional roles (analyst, engineer) inherit from access roles (per-database read/write). Documented, version-controllable, sane.
03
Warehouse strategy
Sized by workload class, auto-suspend defaults, scaling policy decisions, with resource monitors and a kill-switch on every one.
04
Reference dbt project
Bronze / silver / gold scaffolding, source freshness, dbt-utils + dbt-expectations, CI to GitHub, hooks for Snowtify monitors.
05
Network & security policies
IP allow-lists, MFA enforcement, password policies, session policies, masking starter pack — SOC2-aware out of the gate.
06
90-page runbook
Operations, on-boarding, incident response, change management, cost review cadence. Markdown + PDF, yours to evolve.
Timeline

Two weeks. Sequenced.

Accelerator · 14-day schedule
Day 1 · Kickoff + business shape interviewMon
Day 2–3 · Account topology + naming conventionsTue–Wed
Day 4–5 · RBAC + grants applied + testedThu–Fri
Day 6–7 · Warehouses + resource monitorsMon–Tue
Day 8–9 · Reference dbt project + CIWed–Thu
Day 10 · Network + security policiesFri
Day 11–12 · Runbook + walkthrough recordingsMon–Tue
Day 13 · Live workshop with engineering teamWed
Day 14 · Handoff + 30-day warranty startThu

Skip the discovery month. Build the warehouse.

Most engagements start with a four-week assessment phase. We start with a kickoff and a calendar invite for the workshop two weeks later.

Package 02 · Finance · 1 week · $8,000 flat

One week. One deep look. One audit report.

We pull your ACCOUNT_USAGE views, build a complete waste inventory, and hand you a 90-day savings roadmap. Most clients see this engagement pay for itself the same month it lands.

Duration
1 week
Price
$8k flat
Output
Exec PDF
Typical recovery
18–32%
What we'll find

The same seven waste vectors — ranked, dollarized.

We use the same seven-category model SnowGuard exposes — but with a senior architect interpreting it for your warehouse. You get a written narrative, not a dashboard you'll have to explain to your CFO.

  • Inventory: every warehouse, sized vs. utilized, ranked by waste $
  • Top-20 expensive queries with rewritten alternatives
  • Storage rot inventory: dropped, idle, and copy-on-write debt
  • Pipeline overlap: where two jobs do almost the same thing
audit · waste vectors · prioritized
Idle warehouses$5.2k
Oversized clusters$4.0k
Query inefficiency$3.1k
Storage rot$2.2k
Redundant pipes$1.5k
90-day roadmap

A plan with owners, dates, and fallbacks.

Each finding gets a remediation action, an estimated impact, an owner from your team (your call who), a date, and a fallback if the primary path turns out to be more expensive than expected.

  • Sequenced by impact-per-effort, not impact alone
  • Each action documented as a runbook step
  • "What can break" + rollback for every action
  • Optional implementation engagement at a transparent rate
audit_roadmap · 90-day plan
01# Week 1 02- right-size WH_INGEST: L → M, save ~$1.8k/mo 03- enable auto-suspend on WH_AD_HOC (60s) 04# Week 2–4 05- rewrite top-5 queries in WH_ANALYTICS 06- consolidate 3 pipelines1 on session_events 07# Week 5–12 08- migrate RAW.ARCHIVE_* to $23/TB tier 09- retire legacy_export_v1 ($2.9k/mo)
3.2×
Median first-quarter ROI on the audit
$8k engagement, $25k recovered in the same quarter for a $50k/mo Snowflake spender. We will not promise this for your account — but it is the median for our last twelve.

One week. One audit. One plan.

If you don't see waste worth the $8k, we'll tell you so — and refund the second half of the engagement.

Package 05 · Migration · 8–16 weeks · from $50k

From Redshift. From BigQuery. From Synapse. From on-prem.

A real migration is more than a SQL converter. We plan the cutover, convert the DDL and DML, migrate the data, re-platform the pipelines, and run parallel operations until you're ready to decommission the source. No fork-lift, no "phase 2."

Duration
8–16 wk
Starts at
$50k
Sources
Redshift · BQ · Synapse · SQL Server
Approach
Parallel-run
Assessment

Two weeks of discovery, not a quarter.

We walk your source warehouse, profile every table, classify every pipeline, and produce a migration strategy with go/no-go gates. You'll know what's risky before we touch anything.

  • Source schema inventory, with FK/PK/check constraints
  • Pipeline-by-pipeline migration risk score
  • Cutover plan with parallel-run validation framework
  • Effort estimate by workload class — not just LOC
migration · risk profile · 412 objects
DDL + DML conversion

Convert. Validate. Replay.

We convert your DDL and DML with automated tooling, but every conversion is reviewed by a human who reads SQL. The result is parallel-run-able from day one.

  • Type mapping decisions documented per source platform
  • Stored procedures rewritten or replaced — not just translated
  • Identity / sequence / GUID handling without surprises
  • Materialized view + clustering key decisions, not defaults
ddl_convert · redshift → snowflake
01-- before · Redshift 02CREATE TABLE orders ( 03 id BIGINT IDENTITY(1,1), 04 payload SUPER 05) DISTSTYLE KEY DISTKEY(id); 06-- after · Snowflake 07CREATE TABLE orders ( 08 id NUMBER AUTOINCREMENT, 09 payload VARIANT 10) CLUSTER BY(id);

Move once. Move right.

If you're tired of "phase 2" pitches, we'd love to scope yours. The first deliverable is always the cutover plan, and you own it before you commit to a build.

Package 06 · AI · 4–6 weeks · $25,000 flat

Put Cortex to work. Inside Snowflake. Inside the rules.

RAG over your governed data. Text-to-SQL agents with guardrails. Production summarization workflows. Forecasting models grounded in ACCOUNT_USAGE. Nothing leaves your account.

Duration
4–6 wk
Price
$25k flat
Stack
Cortex · Snowpark · Streamlit
Fallback
3-layer
RAG that actually grounds

Hybrid search. Citations. Confidence bands.

Vector + keyword hybrid search on a Cortex index sitting alongside your governed tables. Every answer carries citations. Every citation links to a row a user can read.

  • Hybrid retrieval: SEARCH_INDEX + lexical fallback
  • Inline citations in every generated answer
  • Per-row sensitivity-aware redaction
  • Eval harness with golden Q/A pairs reviewed by your team
RAG demo · "Q4 revenue by segment, top 5"
01// Cortex agent · grounded answer 02Top 5 segments by Q4 revenue: 03 1. Enterprise SaaS — $42.1M [cite:1] 04 2. Mid-market — $28.4M [cite:2] 05 3. Channel — $17.9M [cite:1] 06 4. SMB — $12.0M [cite:3] 07 5. Strategic — $9.8M [cite:2] 08citations: 09 cite:1 → FINANCE.q4_revenue_by_segment
Text-to-SQL with guardrails

Let users ask the warehouse. Don't let them break it.

Agents that read the user's question, compose Snowflake SQL, validate against a semantic layer, run on a quota-bounded warehouse, and refuse to write. Cortex composes; the guardrails execute.

  • Read-only execution role with statement-class filters
  • Semantic layer (YAML) constrains tables, columns, joins
  • Cost ceiling per query — auto-kill on overrun
  • Plan + cost preview returned with every answer
guardrail trace · "show me PII columns"
01user: "show me PII columns" 02cortex → sql: 03 SELECT column_name, table_name 04 FROM SNOWCATALOG.PII_INVENTORY 05guardrail check: ✓ read-only 06guardrail check: ✓ within semantic layer 07guardrail check: ✓ <$0.01 / query budget 08guardrail check: ✓ role can read PII_INVENTORY 09RESULT: 14 rows returned

Cortex. Grounded. Governed. Done.

Skip the proof-of-concept-that-never-ships. Ship a thing in week six that your team will use.

Package 07 · Product · 6–10 weeks · from $40,000

Ship the Native App your customers can install.

We're the team that built the Snowtify Suite. We can build yours. Marketplace listing, Streamlit-in-Snowflake UI, HMAC licensing, tiered usage, white-label or your-brand — whichever ships faster for your roadmap.

Duration
6–10 wk
Starts at
$40k
Stack
SiS · Snowpark · Cortex
Listing
Marketplace ready
Architecture

Built the way Snowflake wants Native Apps built.

Application package, setup script, manifest, application roles, reference-usage grants, versioned upgrades. We've shipped this 1,170 times on our own product — we know the gotchas.

  • Manifest + setup-script with REFERENCE USAGE wired correctly
  • Application-role design that respects your customer's RBAC
  • Versioned upgrades that don't break installed consumers
  • Test harness that runs against a real consumer account
setup.sql · application package
01CREATE APPLICATION PACKAGE my_app_pkg; 02CREATE manifest, setup_script, ui module; 03 04CREATE APPLICATION ROLE app_admin; 05CREATE APPLICATION ROLE app_reader; 06 07GRANT reference_usage ON DATABASE SNOWFLAKE 08 TO APPLICATION my_app; 09 10ALTER APPLICATION PACKAGE add version 'v1_0_0';
Marketplace listing

Get listed. Get installed. Get paid.

We've shipped to the Marketplace. We know what gets approved, what gets bounced, and what does well. We'll prepare your listing, your pricing tiers, your billing wiring, and your security questionnaire answers.

  • Listing copy + screenshots + demo videos
  • Pricing tier design (free / metered / fixed)
  • Custom event billing or fixed monthly fee — your call
  • Snowflake Ready validation prep + submission
listing checklist · 14 items
Manifest
Setup script
App roles
Listing copy9/10
Pricing tierson
Snowflake Readypending

Don't ship a SaaS. Ship a Native App.

The Marketplace install button is a competitive moat. Customers don't have to set up a vendor — they click install.

Package 09 · Leadership · ongoing · $8k/mo retainer

The senior hire you can't fill yet.

One to two days a week, embedded with your team. Architecture reviews. 1:1 mentorship. Quarterly roadmap ownership. Vendor management. You get the staff engineer your team needs without the H1 / equity / 16-week hiring loop.

Cadence
1–2 d/wk
Retainer
$8k/mo
Notice
30 days
Min
3-month
A week in the role

What you'll actually get for the retainer.

M
Mondays · Roadmap + standup
Async write-up of last week's progress, this week's priorities, blockers escalated. Slack lead.
T
Tuesdays · Architecture office hours
Two hours, open invite, anyone on your team. Whiteboard, pairing, code review.
W
Wednesdays · 1:1 mentorship
Rotation through your data team's senior engineers. Career coaching as well as technical.
R
Thursdays · Vendor / hire reviews
Vendor evaluations, hiring panel feedback, contract review, prep for board / exec asks.
F
Fridays · Async deep-work
RFCs, runbooks, dashboards, tricky migrations. The senior-IC work no one else has time for.
Q
Quarterly · Roadmap workshop
Half-day workshop with your leadership team. Roadmap drafted, owners assigned, dependencies named.
2
Maximum simultaneous fractional clients
We won't take on a third — the bandwidth math doesn't work. If we're full and you're a fit, we'll keep you on a short list.

The senior hire — without the equity grant.

If you've been postponing the staff-engineer hire because the right person hasn't applied, this is the bridge.

A one-person practice, building like a ten-person one.

Innovateck is a data intelligence studio built around a simple premise: the best software for Snowflake is software that lives inside Snowflake, and the best consulting is done by people who ship code for a living.

We build the Snowtify Suite — four Native Apps that install from the Marketplace and run in your account. And we deliver senior consulting for teams who need more than a product: architects, migrators, cost-cutters, governance owners.

No junior bench. No offshore handoffs. No six-month discovery phases. Just the person who wrote the code, talking to the person who uses it.

Principles

What we actually believe.

01

Software, not SaaS-on-top

We build on Snowflake primitives — Native Apps, Streamlit, Cortex — because software that understands its host is better than software that fights it.

02

Senior-delivered, always

Every engagement is led by the founder. If you talk to someone, they've shipped production Snowflake code this week.

03

Fixed scope, flat price

Time-and-materials contracts reward slowness. We quote flat because we have no incentive to pad hours, and you have no incentive to rush us.

Let's talk shop.

Technical Slack, quick call, long-form email — whatever lets us get to the actual problem fastest.

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Last updated: June 21, 2026