Overview
Pipeline Cloud provides a Microsoft SQL database that mirrors your organization’s EveryAction data. This article explains how the data environment works, how to write queries, and how to explore your database structure.
If you already have access and are ready to analyze data, this is the right place to begin.
What This Feature Helps You Do
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Write Microsoft SQL queries
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Join and filter data across tables
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Explore database schema
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Build advanced custom reports
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Connect Pipeline Cloud to reporting tools like Power BI
How Pipeline Cloud Data Works
Your organization’s data is replicated into a Microsoft SQL database with approximately 10–15 minutes of latency.
This environment allows you to:
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Query contact, event, and engagement data
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Join tables using primary keys
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Filter and sort results
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Extract insights not available in standard reports
Pipeline Cloud uses Microsoft SQL syntax, which differs from MySQL in some query structure and functions.
Common Things You’ll Do
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Write your first SQL query
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Adapt MySQL queries to Microsoft SQL
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Use Information Schema views to explore tables and columns
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Connect Pipeline Cloud to Power BI
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Optimize query performance
Query Best Practices
To improve performance and avoid large or slow queries:
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Use TOP to limit results
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Avoid SELECT * when possible
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Avoid large CROSS JOIN statements
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Test queries with smaller datasets first
Seeing Your Impact
By writing effective queries, you can:
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Build advanced reports
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Analyze supporter engagement
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Identify trends in events and donations
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Support data-driven decision-making
What Do You Need Help With?
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How do I write a basic SQL query in Pipeline Cloud?
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How do I adapt MySQL queries to Microsoft SQL?
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How do I verify the database schema?
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How do I connect Pipeline Cloud to Power BI?
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How do I troubleshoot connection issues?