Trusted AI-powered analytics - informed by Amazon Redshift

Amazon Redshift is powerful. But raw warehouse data isn't enough. Teams need a governed metric layer that transforms Redshift from a storage bucket into a trusted, AI-ready analytics engine.

PowerMetrics sits on top of your Redshift warehouse as a semantic layer for metrics. It eliminates logic silos, reduces compute costs, and empowers business teams to explore data independently—without writing SQL or waiting for reports.

The Redshift challenge

Redshift teams face three critical friction points:

The "Wild West" of SQL Every department defines metrics differently. Finance calculates "Revenue" one way, Sales another. The result: conflicting reports, endless debates about which number is "correct," and constant requests for clarification. There's no single source of truth—just competing versions of the same metric.

Runaway compute costs Unoptimized queries from BI tools and ad-hoc analysis spike your Redshift bill. Business users don't see the cost of inefficient queries. Data engineers can't control what gets queried. Without visibility and governance, costs climb unpredictably.

The data bottleneck Your Redshift warehouse is too complex for business users to navigate alone. Raw tables, unfamiliar schemas, and SQL requirements mean every insight request lands on the data team's desk. "Can you pull this report?" becomes the default. Speed to insight suffers. Data engineers drown in tickets.

Why PowerMetrics transforms Redshift

PowerMetrics acts as the governance layer between your warehouse and your team. It solves these problems by design.

The single source of truth Define each metric once in PowerMetrics. Lock down the formula. Version-control the logic. Every dashboard, AI query, and report uses that exact Redshift-backed definition. No more conflicting numbers. No more ambiguity. Finance and Sales both see the same "Revenue" because they're pulling from the same certified metric.

Optimized querying and cost control PowerMetrics acts as an intelligent buffer. It understands your metric definitions, caches results intelligently, and ensures only necessary data is pulled from Redshift. Frequent queries hit the cache, not your cluster. Unnecessary compute is eliminated before it reaches your warehouse. Your Redshift bill becomes predictable.

Instant self-serve exploration Business users don't wait for ETL pipelines or data team tickets. They explore governed metrics through a drag-and-drop interface or ask questions in plain language to our AI assistant. Data teams maintain control of the warehouse. Business users get a sandbox of trusted metrics. Speed to insight improves dramatically.

How PowerMetrics works with Redshift

Standardize your business logic

Don't just query tables. Map your Redshift schemas to a semantic layer where formulas are locked down and version-controlled. PowerMetrics lets you define calculated metrics using an Excel-like formula system with 100+ functions. Once defined, those formulas are immutable and auditable. Every metric carries its definition, owner, and certification status.

Hybrid data synthesis

This is where PowerMetrics truly differentiates. You can join Redshift financial data with Salesforce CRM data, HubSpot pipeline data, or any of 130+ connected services—all in a single metric. Create a unified view that Redshift alone cannot provide. Combine your warehouse with your entire data stack to answer questions like "What's the win rate for deals in each region, by product, with margin impact?"

Governance at scale

Instead of managing permissions for 500 users in Redshift, manage one connection. Assign roles and access controls at the metric level. Data teams maintain full control of the warehouse and the metric catalog. Business users get a curated, permission-based view of metrics they're authorized to see. Governance scales without complexity.

AI you can audit

Unlike generic LLMs that hallucinate, our AI uses your Redshift-backed metric definitions as its source of truth. It doesn't guess what "Churn" means—it reads your governed formula. When a user asks "What's our churn trend?" the AI consults your metric definition, queries Redshift with optimized SQL, and returns an answer grounded in your actual data. Every response is auditable and traceable.

What teams can do with PowerMetrics and Redshift

For data engineers and analytics teams Reduce your ticket volume. Ship a governed metric catalog and stop writing one-off SQL. Define metrics once, maintain them centrally, and let business users self-serve. Your team moves from report-writing to strategy.

For business leaders and analysts Get answers in seconds. Trust the data because it's backed by your Redshift warehouse and certified by your data team. Explore metrics interactively. Build dashboards without waiting. Ask questions in plain language and get AI-powered insights grounded in your actual data.

Key capabilities

Standardized metric definitions Define metrics with formulas, filters, and descriptions. Every metric is certified, version-controlled, and auditable. Business logic lives in one place.

Secure data storage and governance Data stays in your Redshift warehouse. You control access through PowerMetrics roles and permissions. Built-in audit trails show who accessed what and when.

Self-serve exploration Business users explore metrics through intuitive dashboards, drag-and-drop visualizations, and natural language queries. No SQL required. No data team dependency.

AI-driven insights Ask questions in plain language. Our AI assistant uses your governed metric definitions to deliver trustworthy answers backed by Redshift data.

Hybrid metric synthesis Combine Redshift metrics with data from your semantic layers (dbt, Cube), data warehouses (BigQuery, Snowflake), or 130+ service integrations. Create calculated metrics that span your entire data stack.

Optimized querying PowerMetrics generates efficient SQL and caches results intelligently. Reduce unnecessary compute load on your Redshift cluster and control costs.

Instant metric templates Start with 100+ pre-built metric definitions from MetricHQ (metrichq.org). Customize for your business or build from scratch. Get to insight faster.

Getting started

When you sign up for a free PowerMetrics trial, you get 30 days of access to our Redshift integration. To continue after your trial, choose a plan that includes data warehouse integration or add it as an upgrade.

Before connecting, ensure your Redshift setup is optimized:

• Tables and views are structured with measures and dimensions together (or use a view to combine them)
• All tables include at least one date column and one measure column
• You have a Redshift user with the appropriate permissions to access your database
• If you use network policies, add PowerMetrics IP addresses to your allow list

To connect, you'll need:

• Your Redshift username and password
• Your Redshift endpoint (host name or IP address)
• Your database and schema names

Once connected, create metrics by selecting tables or views, defining formulas, and adding them to your metric catalog. Business users can then explore, visualize, and share these metrics across dashboards and reports.

Want to explore first? Our sample metrics let you see how PowerMetrics works before connecting your own data.

For detailed setup and configuration instructions, see our Redshift integration documentation.

Hundreds of data-driven teams trust PowerMetrics and Redshift

Leading and growing businesses across software, retail, fintech, adtech, and healthcare use Amazon Redshift as their data backbone and PowerMetrics as their analytics brain. They've eliminated metric conflicts, reduced compute costs, and empowered their teams to explore data independently.

Your Redshift warehouse holds the truth. PowerMetrics makes that truth accessible, trustworthy, and actionable.