Supermetrics for Azure Synapse is a managed SaaS solution that automates the transfer of marketing, ecommerce, and sales data from various platforms into Microsoft Azure Synapse Analytics. It eliminates the need for manual data pipeline development and maintenance, allowing teams to easily integrate, automate, and manage data flows for advanced analytics and reporting. The service supports granular data selection, custom schema creation, and secure, compliant data transfers without permanent data storage on Supermetrics servers.

Key Features

Granular Data Integration Fetch detailed metrics, dimensions, and segments from multiple marketing, ecommerce, and sales data sources.

• Select specific data points relevant to your analysis.
• Create custom schemas to shape the data as needed.

Automated Data Transfers Schedule and automate data movement into Azure Synapse.

• Set frequency and refresh windows for data updates.
• Merge data from different tables and automatically assign data types.

Managed Pipeline & Orchestration Fully managed data pipeline reduces operational overhead.

• No need to maintain custom API connections.
• Automated handling of source API changes and pipeline errors.

Security & Compliance Ensures data privacy and regulatory compliance.

• End-to-end encrypted transfers via HTTPS.
• SOC 2 Type II, GDPR, and CCPA compliant.
• No permanent storage of customer data on Supermetrics servers.

Customizable Data Schemas Flexible schema options for analytics needs.

• Use predefined BI-ready schemas.
• Build custom schemas by selecting required fields and tables.

Access Control Granular user permissions for authentication tokens.

• Assign access to specific team members as needed.

Benefits

Faster Insights and Reporting Accelerate analytics by centralizing data in Azure Synapse.

• Enables rapid data export to BI or visualization tools.
• Reduces time spent on manual data aggregation and preparation.

Reduced Maintenance and Operational Cost Minimize resource allocation to data engineering tasks.

• Eliminates the need for ongoing pipeline maintenance.
• Frees up engineers for higher-value analytics and modeling work.

Improved Data Security and Compliance Ensure safe data handling for sensitive business information.

• Meets strict industry standards for data protection.
• Provides audit-ready compliance for regulatory requirements