Skip to main content
GPTfy - Salesforce Native AI Platform

Run AI on Snowflake Data Inside Salesforce

Connect Snowflake data warehouse to Salesforce with GPTfy. Enrich AI responses with enterprise data stored in Snowflake. Zero data replication required.

91%

of CRM data is incomplete, and siloed warehouse data rarely reaches the AI prompts that need it (Salesforce)

Your warehouse data is invisible to Salesforce AI

Petabytes of customer data sit in Snowflake while your CRM AI operates on a fraction of the picture.

80%

Of enterprise data lives outside Salesforce

Customer transaction history, behavioral analytics, and product affinity data sit in Snowflake - inaccessible to your AI prompts and agent workflows.

GPTfy accurately understands user input and generates high-quality content in the right format.

- Ankita Dhamgaya, Director and Founder, AlgoCirrus

Solve this with API Data Sources
0 Replicas

Required - query data where it lives

Traditional integrations copy warehouse data into Salesforce, creating stale duplicates and storage costs. Your single source of truth becomes multiple conflicting sources.

The implementation was smooth and the results exceeded expectations.

- Rishi Golyan, Salesforce Consultant, Algocirrus

Secure this with Security Layer
<5 Sec

Query response time for warehouse analytics

Snowflake's query optimization delivers sub-5-second responses even for complex analytical queries - fast enough for real-time AI enrichment during live conversations.

Liked the easy and click/no-code way to configure GPT LLMs on any Salesforce object and go-live in days.

- Gurditta Garg, Chief Salesforce Evangelist, Motorola

Automate with Flow Integration

Developers, Connect Snowflake Data Warehouse

REST API Connector for Snowflake Queries via AIDataSourceInterface Implementation

Implement ccai.AIDataSourceInterface to connect to Snowflake's REST API, query your data warehouse in real-time, and natively integrate query results into Salesforce AI workflows. This follows the same pattern used across all API Data Sources to extract insights from petabytes of data without moving data into Salesforce.

Secure Authentication Through Salesforce Named Credentials with OAuth Support

Use Salesforce Named Credentials with OAuth authentication to securely connect to Snowflake without exposing credentials. Configure query templates through Prompt Builder to structure how Snowflake data enriches your AI responses. Snowflake's production-grade security model is preserved through the entire integration chain.

REST API Connector for Snowflake Queries via AIDataSourceInterface Implementation

Data Teams, Enrich Salesforce Context

Real-Time Data Enrichment via On-Demand Snowflake Queries

Query Snowflake's data warehouse on-demand to pull customer behavioral patterns, purchase history, product preferences, and engagement metrics directly into Salesforce AI responses. Pair this with RAG to ground AI outputs in your warehouse data. No data replication required — query your single source of truth.

Advanced Analytics Through Combined Snowflake and Salesforce Data Sources

Combine Snowflake's analytical power with Salesforce operational data. Snowflake is one of many connectors available in the integrations hub — let AI analyze customer lifetime value from Snowflake alongside opportunity data in Salesforce to deliver personalized recommendations and next-best-actions.

IT Teams, Ensure Enterprise Security

Zero Data Replication via REST API On-Demand Query Architecture

Keep data in Snowflake where it belongs. Query on-demand via REST API without duplicating data into Salesforce, maintaining data residency, governance, and reducing storage costs while improving data freshness. GPTfy's zero-trust architecture ensures every query is authenticated and authorized.

Centralized Audit and Compliance Tracking Through Salesforce Security Records

Every Snowflake query is logged in Salesforce security audit records with request/response JSON. Apply data masking to sensitive fields before they reach AI providers, and trigger automated compliance workflows through Flow integration. Maintain compliance with GDPR, CCPA, and SOC 2 requirements while using enterprise data assets.

Why Choose Snowflake Integration

Real-Time Data Access

Query Snowflake data in real-time without replication. Your AI agents always work with the latest enterprise data from your data warehouse.

Enterprise Security

Use Snowflake's native security and OAuth authentication through Named Credentials. All queries are logged with complete audit trails for compliance.

Simple Apex Implementation

Implement a lightweight Apex connector class to query Snowflake. Use standard SQL to access any table, view, or object in your warehouse.

Powerful Capabilities

REST API Connector

Implement ccai.AIDataSourceInterface to connect to Snowflake's REST API and natively integrate query results into Salesforce AI workflows.

Named Credential Auth

Use Salesforce Named Credentials with OAuth authentication to securely connect to Snowflake without exposing credentials in code or debug logs.

Zero Data Replication

Query Snowflake on-demand via REST API. Data stays in your warehouse with no duplication into Salesforce, preserving data residency and governance.

Full Audit Trail

Every Snowflake query is logged in Salesforce security audit records with complete request/response JSON for GDPR, CCPA, and SOC 2 compliance.

Frequently Asked Questions

The integration uses Salesforce Named Credentials with OAuth 2.0 or key-pair authentication to securely connect to Snowflake. All queries are executed with your Snowflake user's role-based permissions, ensuring data access follows your existing security model. Every API call is logged in Salesforce audit records with complete request/response JSON for compliance tracking.

No, replication is not required. The integration queries Snowflake data on-demand via REST API. Data remains in Snowflake and is only accessed when needed for AI processing. This maintains data freshness, reduces storage costs, and preserves data residency requirements.

You can access any data accessible through standard SQL queries in Snowflake, including tables, views, materialized views, and stored procedure results. The integration supports SELECT queries with JOINs, WHERE clauses, and aggregations. You can query customer transaction history, behavioral analytics, product affinity data, or any other enterprise data stored in your Snowflake warehouse.

Snowflake's query optimization and caching ensure fast responses even for complex analytics. GPTfy executes queries asynchronously when needed and caches results when appropriate. For high-volume scenarios, you can implement query result caching or use Snowflake's materialized views to optimize performance. Typical query response times are under 5 seconds.

Yes, the integration supports calling Snowflake stored procedures and user-defined functions (UDFs) via the REST API. This allows you to use complex business logic, data transformations, and ML models already built in Snowflake without rewriting them in Salesforce.

While External Objects provide standard CRUD operations, the Snowflake integration through GPTfy's API Data Source enables on-demand analytical queries. External Objects are designed for transactional data access, while this integration focuses on enriching AI context with analytical insights from your data warehouse, including aggregations, window functions, and complex business logic.

See Snowflake + Salesforce AI in Action

See how GPTfy connects Snowflake with Salesforce AI to deliver insights from petabytes of enterprise data. Book a demo to see real-time query execution and AI enrichment in action.