Need a Snowflake alternative?

Snowflake Intelligence brought agentic AI and MCP to the platform. But those agents reason over data that's been replicated into the warehouse and pushing operational changes back out through connectors like Salesforce Sync Out can lag.

Commercient's Data Lake keeps ERP, CRM, and eCommerce data up-to-date at the source and queryable directly through REST, GraphQL, webhooks, MCP, and the CLI. Agents reason over the current state of the business.

Snowflake can hold ERP and CRM. What it doesn't do is keep those operational source systems synchronized with each other. If the ERP and CRM disagree, loading both into Snowflake just puts the disagreement in one place.

Commercient's whole job is making the source systems agree first. That's the foundation an AI answer actually needs, and it's the part a warehouse leaves to you.

Getting value from Snowflake means getting data in through replication pipelines, transformations, and credit-based compute every time you query. For operational questions, that's a lot of machinery between the question and the record.

Commercient's Data Lake governs and serves operational data directly with scoped keys, role permissions, row-level security, and an audit trail. Without the need to first copy everything into a separate analytical platform. Developers and agents hit it through the CLI, REST, GraphQL, or MCP.

Choosing Snowflake is choosing where your organization's analytical data will live. This requires a strategic platform commitment, priced on consumption, that scales into serious money as usage grows.

If the actual goal is AI agents and applications working from current ERP and CRM data, Commercient delivers that as a focused layer on the systems you already run, not a platform you migrate onto to get there.