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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
Complex joins between HubSpot objects in Snowflake require careful query optimization, index tuning, and performance monitoring to maintain acceptable response times. Managing these relationships manually often leads to slow queries and maintenance overhead.
Here’s how to get the same data relationships without manual join optimization or SQL complexity.
Handle complex relationships automatically using Coefficient
CoefficientHubSpotprovides built-in association handling that automatically manages relationships betweenobjects. Instead of writing complex JOIN statements, you get three display options: Primary Association, Comma Separated, or Row Expanded. The system handles join optimization in the background with efficient API usage and automatic batching for large datasets.
You can pull multiple associated objects in a single import and configure which associations to include without SQL. The Row Expanded option creates denormalized views automatically, giving you the same result as complex joins but through a visual interface.
How to make it work
Step 1. Select your primary HubSpot object for the relationship.
Choose the main object you want to analyze (like Contacts) through Coefficient’s import interface. This becomes the foundation for your data relationships without writing FROM clauses or table aliases.
Step 2. Configure associated objects through checkboxes.
Select related objects like Deals and Companies using the visual interface. Choose which associations to include and how to display them – this replaces complex LEFT JOIN statements with simple checkbox selections.
Step 3. Choose your relationship display format.
Pick Row Expanded for full denormalization (equivalent to complex joins), Comma Separated for compact views, or Primary Association for the main relationship. This gives you control over data structure without query plan optimization.
Step 4. Apply filters across related objects.
Use the filter interface to apply conditions across associated objects, like filtering contacts by lifecycle stage while including their deal information. This replaces WHERE clauses with visual filter configuration.
Get complex data relationships without SQL
Try CoefficientCoefficient provides consistent performance for HubSpot object relationships regardless of data volume, eliminating the need for index tuning or query optimization.to access complex HubSpot data relationships through a more accessible interface.
