Native App vs Full Platform: Your Complete Guide to Choosing the Right Anavsan Solution

Yesterday, we launched the Anavsan Native App on Snowflake Marketplace. Within hours, our inbox filled with variations of the same question:

"What's the difference between the Native App and your Full Platform?"

It's a great question—and answering it properly requires understanding that these aren't competing products. They're different stages in the same optimization journey.

Let me break down exactly what each solution does, who it's for, and how to choose the right starting point for your team.

The Core Difference

Here's the simplest way to understand the difference:

Native App = Credit MONITORING
Answers: "Where are my credits going?"

Full Platform = AI-POWERED OPTIMIZATION
Answers: "How do I fix it?"

Before you can optimize Snowflake costs, you need visibility into what's actually consuming credits. That's where the Native App comes in. Once you understand the problem, the Full Platform helps you solve it at scale.

Think of it like health tracking:

• Native App = Fitness tracker (shows you steps, heart rate, calories)

• Full Platform = Personal trainer + nutritionist (helps you actually get fit)

Both are valuable. Which you need depends on where you are in your journey.

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Anavsan Native App: Deep Dive

What It Does

The Native App is a 100% Snowflake-native monitoring tool that provides instant visibility into credit consumption.

Install from Snowflake Marketplace → Refresh → See where every credit is going.

Key Features

1. Instant Credit Visibility

Within minutes:

• Identify top credit-consuming warehouses

• Surface most expensive queries

• Track storage growth trends

• Understand historical spend patterns

Real example: A healthcare company discovered their "dev_analytics" warehouse consumed 40% of total credits—despite being meant for testing only.

2. Warehouse Intelligence

• Size distribution (XS, S, M, L, XL, 2XL counts)

• Idle time vs. active time analysis

• Utilization metrics

• Right-sizing recommendations

Real example: Fintech found 5 Large warehouses at <15% utilization. Recommendation: downsize to Medium. Potential savings: $18K/month.

3. Query Performance Insights

• High-credit consumption queries

• Slow-running queries

• Failed query patterns

• Estimated credit impact per query

Real example: Top 10 queries = 62% of compute spend. Three had obvious fixes (SELECT *, missing filters). Estimated savings: $12K/month.

4. Storage Optimization Overview

• Database storage consumption

• Time-travel retention costs

• Fail-safe storage tracking

• Stage storage growth

Real example: Discovered 8TB of forgotten time-travel snapshots from cloned test databases. Cleanup savings: $4K/month.

5. Advisory Recommendations

• Prioritized optimization opportunities

• Best-practice guidance

• Credit reduction strategies

• Industry benchmarks

Important note: The Native App provides informational recommendations—it tells you what to fix, but doesn't fix it automatically.

Architecture & Security

Why "100% native" matters:

✅ Runs entirely inside your Snowflake account
✅ Read-only metadata access (cannot modify anything)
✅ Never accesses business data or PII
✅ No data export (everything stays in Snowflake)
✅ Native OAuth security
✅ No agents to deploy

This architecture makes InfoSec approval easy. Multiple customers have told us:

"We tried 5 monitoring tools. All blocked by security for exporting data. Anavsan Native App was approved in one meeting because it's 100% native."

Pricing

Unlimited free trial. No credit card. No time limit.

Use it as long as you need to understand your environment and identify opportunities.

Who Should Use It

✅ Teams starting their optimization journey
✅ Need to understand current spend before making changes
✅ Want to build business cases with real data
✅ Have security requirements preventing data export
✅ Manage a single Snowflake account
✅ Prefer manual control over optimizations

Anavsan Full Platform: Deep Dive

What It Does

The Full Platform is an AI-powered optimization engine that goes beyond monitoring to actually help you fix inefficiencies and automate ongoing optimization.

Everything in the Native App + AI automation + team collaboration + enterprise features.

What You Get (Beyond Native App)

1. Agentic AI Query Optimization

The flagship differentiator.

How it works:

• AI analyzes your query using an organizational knowledge graph

• Understands your specific data architecture and table relationships

• Provides context-aware recommendations

• Can rewrite queries with projected savings

Example:

Native App says:
"This query consumed 2,000 credits and took 45 seconds."

Full Platform AI says:
"This query consumed 2,000 credits. Here's why:

• Full table scan (missing WHERE on partition key)

• Repeated CTE computation (runs 3x)

• SELECT * pulls 40 unnecessary columns

Optimized version:

[Shows rewritten query]

Projected impact:

• 1,200 credits per run (40% reduction)

• 18 seconds execution (60% faster)

• $1,800/month savings based on run frequency"

The AI doesn't just identify problems—it shows you exactly how to fix them.

2. Credit Simulator

Test optimizations before deploying to production.

Use case: You want to optimize a critical production query but are nervous about changing it.

Solution:

1. Input optimized query into simulator

2. Runs against your actual data (sandbox)

3. Compares credits vs. original

4. Validates results match

5. Gives confidence before deployment

Value: Engineering guardrails. Prove savings before risky changes.

3. Team Collaboration Workflows

Bridge the FinOps ↔ DataOps gap.

Query Assignment System:

• FinOps identifies expensive query → assigns to engineer

• Engineer gets notification (email/Slack)

• Engineer reviews, optimizes, updates status

• FinOps tracks progress and ROI

• Complete audit trail

Real example: Retail company identified 47 expensive queries. Using Assignment System, tracked across 5 engineers, completed in 3 weeks vs. 3+ months with manual coordination. Result: $22K/month savings.

4. Query Vault with Version Control

• Git-based version control

• Track all query changes

• Compare versions side-by-side

• Rollback if needed

• Tags and metadata

Value: Never lose optimization work. Understand query evolution.

5. Multi-Account Management

For organizations with multiple Snowflake accounts:

• Consolidated view across all accounts

• Organization-wide governance

• Cross-account analytics

• Centralized reporting

Example: Enterprise with 8 accounts (dev, staging, prod × regions) sees all consumption in one dashboard instead of logging into 8 separate accounts.

6. Custom Dashboards

Build organization-specific views:

• Executive dashboard (high-level trends)

• FinOps dashboard (budget tracking)

• Engineering dashboard (query metrics)

• Storage dashboard (cleanup priorities)

Different stakeholders need different views. Custom dashboards deliver exactly that.

7. Real-Time Alerts & Anomaly Detection

Proactive monitoring:

• Credit consumption spikes

• Unusual query patterns

• Storage growth anomalies

• Budget threshold breaches

Example: Query that normally runs 1x/hour suddenly runs every 5 minutes. Alert fires immediately. Team investigates misconfigured scheduler before it costs thousands.

8. Advanced Integrations

GitHub:

• Sync optimized queries to repository

• Include in CI/CD pipelines

• Code review for query changes

API Access:

• Programmatic access to optimization data

• Custom workflows

• Internal tool integration

Webhooks:

• Trigger external actions on events

• Custom alert routing

• ITSM integration

9. Enterprise Governance

Automatic Tagging & Attribution:

• Tag queries by team/project/cost center

• Automatic chargeback reporting

• Budget allocation by department

End-to-End Lineage:

• Data flow from source to destination

• Impact analysis before changes

• Compliance and audit support

Policy-Driven Budgets:

• Set budgets at any level

• Automatic threshold notifications

• Optional enforcement policies

Credit Forecasting:

• ML-based consumption predictions

• Proactive budget planning

• "At current rate, you'll exceed by X%"

Pricing

• Individual: $49/user/month

• Team: $239 for 5 users/month

• Enterprise: Custom (% of Snowflake spend)

14-day free trial available.

Who Should Use It

✅ Identified >$10K/month savings potential
✅ Ready to automate optimization workflows
✅ Manage multiple Snowflake accounts
✅ Need team collaboration (FinOps + DataOps)
✅ Want AI-powered query optimization
✅ Require advanced governance and forecasting

Side-by-Side Feature Comparison

*Full Platform runs primarily in cloud with Snowflake integration

The Optimization Journey: A Roadmap

Most successful teams follow this progression:

Phase 1: Discovery (Weeks 1-4)

Tool: Native App

Activities:

• Install from Marketplace (5 minutes)

• Analyze credit consumption

• Identify top inefficiencies

• Build optimization opportunity list

• Estimate potential savings

• Create business case

Outcome: Clear understanding of where credits go

Typical Findings:

• $20-50K/month identifiable waste

• 5-10 quick wins worth $10-20K/month

• 20-50 queries worth optimizing

Phase 2: Manual Wins (Weeks 5-12)

Tool: Native App + Your Team

Activities:

• Implement quick wins (warehouse right-sizing, storage cleanup)

• Manually optimize top 10-20 queries

• Set up monitoring practices

• Educate team on best practices

• Track improvements

Outcome: Initial cost reduction, momentum built

Typical Results:

• 15-25% credit reduction

• $10-30K/month savings

• Team buy-in established

• Optimization culture started

Phase 3: Scale & Automate (Month 3+)

Tool: Full Platform

Activities:

• Upgrade for AI optimization

• Enable team workflows

• Automate query analysis

• Implement real-time monitoring

• Expand to all accounts

Outcome: Sustained, scalable optimization

Typical Results:

• 30-60% total reduction

• Continuous optimization (not one-time)

• 70%+ less manual effort

• Proactive cost management

How to Decide: Decision Framework

Start with Native App if:

✅ You're in discovery phase
✅ Need to understand current state first
✅ Want to build business case with data
✅ Have security constraints (100% native required)
✅ Manage single Snowflake account
✅ Team prefers manual control
✅ Budget approval not yet secured

Upgrade to Full Platform when:

✅ Identified >$10K/month savings potential
✅ Manual optimization too time-intensive
✅ Need to scale across multiple accounts
✅ Team collaboration is bottleneck
✅ Want AI-powered automation
✅ Require governance and forecasting
✅ ROI clear and budget approved

Frequently Asked Questions

Can I try the Full Platform before committing?

Yes. After using Native App, start a 14-day free trial of Full Platform.

Do I have to migrate from Native to Full?

No migration needed. Full Platform includes everything from Native App plus additional capabilities. Your insights carry over.

Can I use both simultaneously?

You can, but most teams graduate from Native to Full. Once you have Full Platform, Native App capabilities are included.

What if I just want monitoring forever?

That's fine! Native App has unlimited free trial. Use it indefinitely for monitoring—no obligation to upgrade.

Is there a middle ground?

Team tier ($239 for 5 users) is a sweet spot. You get AI optimization and collaboration without enterprise features you may not need yet.

How long does setup take?

• Native App: 5 minutes

• Full Platform: 15-30 minutes (includes all accounts, team setup)

What if my security team has concerns?

Native App runs 100% inside Snowflake with read-only access. We've had teams with strict security requirements approve it in single meetings. Happy to join your security review.

Can I see a demo of the Full Platform?

Absolutely. Book a demo with our team (all SnowPro-certified).

The Bottom Line

Native App and Full Platform aren't competing products—they're stages in a journey.

The Native App gives you visibility to understand your Snowflake environment. It's the perfect starting point, especially when building a business case or satisfying security requirements.

The Full Platform is where you go to scale, automate, and sustain optimization across your organization.

Most successful teams:

1. Start with Native App (free)

2. Prove value with manual optimizations

3. Upgrade to Full Platform to scale and automate

The question isn't "which should I choose?"

The question is: "which phase am I in?"

Get Started

Try Native App (Free)

Install from Snowflake Marketplace
👉 Get Native App

Explore Full Platform

Book a demo or start 14-day trial
👉 Contact Us

Questions?

Our team (all SnowPro-certified) is here to help.
Drop us a line: contactus@anavsan.com