About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Snowflake and Salesforce Integration Takes Customer Personalisation to Next Level

Subscribe to our newsletter

Snowflake and Salesforce have extended their existing partnership by integrating Salesforce’s customer data platform (CDP) with Snowflake’s data cloud. The integration allows customers to share data in real time between Salesforce and Snowflake, minimising the risks and costs of traditional data synchronisation methods.

The integration will be available in pilot mode in autumn 2022, and will offer uninterrupted  access to Salesforce data from the Snowflake data cloud and vice versa. It will also enrich CDP profiles by providing direct connectivity to the Snowflake data cloud and offering real-time data access to enhance customer profiles for hyper-personalisation without moving or copying data. Analytics will be unified across the platforms to gain new insights, and data from both platforms will be visualised using Tableau.

The integration is backed by Snowflake’s data collaboration capabilities that allow users to discover, acquire, and share data, data services, and applications across clouds and industry standard open data platform technologies.

“Companies struggle to deliver real-time personalisation at scale and automation because data resides across different clouds, technology stacks, and enterprise systems,” says David Schmaier, president and chief product officer at Salesforce. “These data sharing innovations grant secure, native, and open access to data where it lives, and allow organisations to deliver intelligent, memorable experiences based on a single source of truth for each customer.”

Christian Kleinerman, senior vice president of product at Snowflake, adds: “This integration will empower companies to break down data silos, unify data for rich insights and analytics, and enable a real-time, single view of customers across both our platforms.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

Informatica Data Capabilities Drive Salesforce’s Agentic Platform

Informatica’s integration into the Salesforce architecture has proceeded at pace since it was acquired by the customer relationship management software platform last year. The extent of that transformation is being demonstrated in a worldwide Salesforce touring showcase. In the glitzy shows, the role of the artificial intelligence-powered data management specialist’s capabilities within Agentforce – Salesforce’s...

EVENT

Digital Assets & Tokenisation Briefing, New York

A-Team Group’s Digital Assets & Tokenisation Briefing assembles an exclusive group of CxOs and senior technology innovators. These leading market practitioners and infrastructure providers are collectively building the digital rails and decentralised networks that will power Wall Street 2.0.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...