Trusted AI-powered analytics layer for Snowflake

PowerMetrics sits on top of your Snowflake Data Cloud to provide a single, governed entry point for all your business metrics. Stop paying for redundant queries and start delivering trusted answers.

Why Snowflake teams need a metrics layer

Snowflake is a powerhouse for data scale and performance. But scale alone doesn't solve the core problem: how do you ensure every team is working from the same definition of truth?

The Snowflake paradox is real. You have the most powerful data sharing and scaling capabilities in the world, yet your business users still can't get a straight answer on a KPI without a data analyst in the middle. Teams end up with slightly different versions of the same metric. Queries proliferate. Credit spend creeps up. And you're stuck in meetings about the data instead of meetings about the business.

PowerMetrics bridges that gap. It's the intelligence layer that turns Snowflake's high-performance compute into high-velocity business decisions. A metrics layer sits between your data warehouse and your business applications, ensuring consistency and governance.

The challenge: credit inefficiency

Snowflake makes it easy to scale, but unoptimized BI queries and constant warehouse resumptions lead to unexpected credit consumption. Every team writing their own SQL, every dashboard refreshing independently, every "let me just check this one thing" query—it all adds up.

The PowerMetrics solution: Compute optimization. PowerMetrics reduces query noise by caching results and optimizing the SQL sent to Snowflake. You only spend credits on fresh, meaningful insights. Governed metrics mean less redundancy, smarter refresh schedules, and visibility into what's actually being queried.

The challenge: metric drift in the cloud

With Snowflake's ease of cloning and sandboxing, different teams end up with slightly different versions of the same truth. One team's "Active User" doesn't match another's. Finance calculates revenue one way, Sales another. You're not arguing about data—you're arguing about definitions.

The PowerMetrics solution: Unified truth. Define your KPIs in a central semantic layer. Whether it's a dashboard, an AI query, or an ad-hoc exploration, the logic is identical. Prevent drift before it starts. Ownership, access controls, and calculated metrics keep definitions clean and consistent across your organization.

The challenge: the "last mile" bottleneck

Snowflake is built for data engineers and analysts. Business teams need access to insights, but they don't speak SQL. So you become a report factory—fielding requests, writing custom views, maintaining dashboards that never quite answer the right question.

The PowerMetrics solution: Self-serve exploration. Unlock Snowflake for non-SQL users. Business teams can explore governed metrics, build dashboards, and ask questions in plain language without needing a data engineer to write a custom view for every request. Your data team moves from being a report factory to a governance architect.

Benefits of integrating PowerMetrics with Snowflake

Centralized logic, decentralized access. Map your Snowflake schemas to a governed semantic layer. Your data stays in Snowflake; your metric definitions, formulas, and business logic live in PowerMetrics. One source of truth. Infinite uses.

Cross-platform data orchestration. Seamlessly blend Snowflake data with external feeds, other warehouses, or semantic layers like dbt and Cube. Create calculated metrics that span your entire tech stack without complex ETL. Query once, use everywhere.

Zero-copy governance. Leverage Snowflake's native security model while adding a layer of metric-level permissions. Ensure the right people see the right numbers without managing 1,000 individual SQL roles. Audit trails keep every metric decision transparent.

Create metrics directly from Snowflake. Query tables or views and turn results into governed metrics in minutes. No code required. No new infrastructure. Just connect, define, and ship.

Built for scale. Handle large datasets while using your Snowflake controls for performance and concurrency. PowerMetrics respects your warehouse settings and cost model.

Trusted by design. One metric definition, many uses. The catalog keeps names, formulas, and filters consistent across dashboards, reports, AI queries, and exports.

True self-serve. Data teams keep the keys. Business users explore safely without touching raw data or writing SQL. Permissions are enforced at the metric level.

AI that stays grounded. Get visualizations and explanations in natural language, based on governed metrics and source-backed responses. Your AI doesn't guess based on column names—it queries your Snowflake-backed metrics using the precise formulas and business logic your data team has already approved.

For Snowflake admins

Regain control of your credit spend. Move from being a report factory to a governance architect by shipping a self-serve metric catalog. Your team defines the metrics once; the business uses them everywhere. You reduce redundant queries, optimize refresh schedules, and gain visibility into what's actually being queried and by whom.

For business leaders

Get Snowflake-speed answers without the Snowflake complexity. Trusted, audit-ready KPIs at the speed of thought. Your teams make faster decisions because they're all working from the same numbers. No more "let me check with the data team" delays. No more conflicting reports.

Ready to empower your organization

The Snowflake Data Cloud is built for scale. PowerMetrics is built to make that scale meaningful. Together, they turn raw compute power into business intelligence that everyone can trust and use. Learn more about metric-first analytics and how PowerMetrics integrates with Snowflake.

Get started with a free trial or talk to our team to see how PowerMetrics can govern your Snowflake environment.