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Turn Snowflake into an agentic system

As Snowflake scales, metadata fragments, ownership drifts, and technical debt compounds. Sweep brings Snowflake into the Agentic Layer, building a structured model of your warehouse’s metadata, SQL logic, execution chains, RBAC roles, and cross-system lineage.

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Built into Sweep’s Agentic Layer

Sweep continuously indexes Snowflake metadata across databases, schemas, tables, views, tasks, streams, stored procedures, UDFs, roles, grants, and ownership structures.

Sweep provides the visibility. The Agentic Layer reasons on top of it.

Metadata Agents & Impact Analysis

Ask natural-language questions about tables, views, stored procedures, tasks, and dependencies. Simulate change impact before modifying SQL or refactoring pipelines.

Automated Documentation & Dependency Mapping

Generate always-current documentation grounded in real metadata and SQL logic. Every object includes purpose, usage, execution context, and dependency relationships.

Visual Workspace & Metadata Mapping

Explore Snowflake data lineage and dependencies in a shared, interactive workspace. Sweep maps how Snowflake metadata relate to each other and to upstream business systems.

What you unlock with the Snowflake Platform

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Ship changes without breaking analytics

As pipelines evolve, logic layers stack, ownership blurs, and warehouse structure drifts from original intent.

Sweep creates a structured metadata model that makes system architecture visible again, restoring clarity to how your warehouse is actually built.

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Restore trust in warehouse logic

In complex systems, small changes carry hidden downstream impact.

Sweep surfaces dependency relationships across transformations and workflows so teams can assess risk before deploying change, reducing incidents and deployment anxiety.

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Eliminate technical debt and optimize warehouse spend

When metrics shift or dashboards break, teams waste time reverse engineering logic and tracing execution paths.

Sweep provides structured visibility into how data was built and transformed, enabling faster root-cause analysis and more reliable reporting.

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Govern Snowflake roles, grants, and access paths

As organizations scale, role hierarchies and ownership boundaries become difficult to audit.

Sweep maps structural access paths and object ownership, helping teams enforce governance and reduce over-privileged access without introducing risk.

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Prepare Snowflake for AI and advanced analytics

AI and advanced analytics require explainable lineage and structured system context.

Sweep builds a metadata graph agents can safely reason over, grounding automation in real architectural relationships rather than brittle assumptions.

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Visualize end-to-end lineage across systems

Business logic rarely lives in Snowflake alone. Salesforce objects feed raw tables. Stored procedures calculate metrics. Views power executive dashboards. Downstream systems activate insights.

Sweep maps these flows visually in a shared workspace so teams can see how CRM changes propagate into warehouse transformations and analytics. Cross-system lineage becomes visible, explainable, and actionable.

Frequently Asked Questions

Connecting Snowflake to Sweep means Sweep securely ingests Snowflake metadata—not data values—and builds a structured understanding of how your warehouse is configured and how logic flows. This includes schemas, tables, views, tasks, streams, stored procedures, UDFs, and their dependencies. Sweep continuously refreshes this context so documentation, lineage, and impact analysis stay current as your warehouse evolves.

Sweep supports core Snowflake metadata types including databases, schemas, tables, views, tasks, streams, stages, sequences, stored procedures, and UDFs. For each object, Sweep captures properties such as owner, warehouse, schedules, and execution history, along with upstream and downstream dependencies.

Sweep builds deterministic dependency mapping across Snowflake objects. This allows teams to see upstream and downstream impact for changes like modifying a column, updating a procedure, or refactoring a task. Instead of guessing or manually auditing SQL, teams can assess risk instantly before deploying changes.

Yes. Sweep connects to Snowflake using read-only, metadata-only access by default. It does not ingest customer data values. Sweep is SOC 2 Type II compliant and provides full audit trails and explainability, making it suitable for enterprise and regulated environments.


Yes. Sweep is SOC 2 Type II compliant, encrypts data in transit and at rest, and operates exclusively on metadata. It supports enterprise governance and regulated environments.

After connecting Snowflake, teams can generate automated documentation, explore dependencies visually, perform impact analysis before changes, troubleshoot issues faster, and maintain a shared source of truth for how warehouse logic works. Over time, this reduces risk, improves velocity, and makes Snowflake easier to operate as systems scale.

Understand your warehouse. Change it safely.

The Snowflake Platform brings clarity to complex data systems by making logic, dependencies, and cross-system impact visible.