We rebuild the Data Platform capabilities your team actually uses — purpose-built with agentic AI, hosted in your AWS environment, fully under your control.
Interactive Cost Calculator
Save $2,964,740 over 5 years
Based on build estimate of $300K–$700K
Current Cost with Snowflake
- Annual license$480,000
- Implementation (Year 1)$1,200,000
- Annual maintenance$86,400
- Annual integration$75,000
- Annual escalation rate9%
- 5-year projected total$4,964,740
Moonshot Alternative
- One-time build$300K–$700K
- Annual AWS hosting$180,000
- Annual AgentOps$120,000
- 5-year projected total$2,000,000
What You're Really Paying For
| Feature | Used by Most Teams? | Agent-Replaceable? |
|---|---|---|
| Data Warehousing | ||
| Data Sharing | ||
| Query Processing | ||
| Data Lake | ||
| Snowpark | ||
| Cortex AI | ||
| Marketplace | ||
| Streams & Tasks |
Most enterprises use 3 of 8 features but pay for all of them.
What We Build Instead
Data Pipeline Agent
Orchestrates data ingestion, transformation, and loading across sources
Query Optimization Agent
Analyzes query patterns, suggests optimizations, and manages warehouse sizing
Data Quality Agent
Monitors data quality metrics, detects anomalies, and enforces validation rules
ETL Orchestration Agent
Manages extract-transform-load workflows with scheduling and error handling
Cost Management Agent
Tracks compute costs, optimizes warehouse usage, and provides spend forecasts
Built on AWS
Key Differentiators
- Runs in your VPC — no shared tenancy
- Data stays in your environment at all times
- Full audit trail for every agent action
- Policy-as-code governance and compliance controls
TCO Comparison at 1,000 Users
| Snowflake | Moonshot | |
|---|---|---|
| Year 1 Total | $3.6M | $800K |
| 3-Year Total | $6.4M | $1.4M |
| 5-Year Total | $9.6M | $2M |
| Ownership | Vendor-owned | You own it |
| Runs in Your VPC | No | Yes |
| Annual Price Increases | 9%+ | $0 |
| Customization | Limited / expensive | Unlimited |
| Compliance | Vendor-dependent | Your controls |
| Exit Cost | High | $0 |
Migration Timeline
Discovery
Audit current usage, integrations, and data flows. Identify the features your teams actually use.
Design
Architect the agentic replacement. Define agent boundaries, data models, and AWS services.
Build
Develop, integrate, and iterate on the purpose-built solution in your AWS environment.
Test & Cutover
Parallel run, data migration, user acceptance testing, and production cutover.
AgentOps
Continuous monitoring, optimization, and evolution of your agentic applications.