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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.”
When exporting NetSuite saved searches through Coefficient , row limits depend on several factors including NetSuite’s API constraints, Google Sheets capacity, and performance considerations. Understanding these limits helps optimize your data workflows.
Here’s a comprehensive breakdown of limitations and strategies for working with large datasets effectively.
NetSuite export row limits using Coefficient
NetSuite saved searches have no hard API limit, though performance degrades beyond 50,000 rows. Coefficient accesses full results via API without UI constraints, while SuiteQL queries have a 100,000 row hard limit.
How to make it work
Step 1. Understand the primary limitations.
NetSuite UI displays 1,000 rows but API access has no hard limit. Coefficient preview shows first 50 rows only. Google Sheets supports 10 million total cells with 5 million per sheet, but performance issues start around 100,000-200,000 rows.
Step 2. Optimize saved searches for large datasets.
Add date range filters like “last 90 days,” use summary saved searches for aggregated data, remove unnecessary columns, and apply status filters to exclude closed records. This reduces data volume while maintaining relevance.
Step 3. Implement segmented import strategies.
Create separate tabs for different time periods: Current Quarter (15,000 rows), Previous Quarter (15,000 rows), and Year-to-Date Summary (5,000 rows). This distributes 35,000 rows across manageable segments.
Step 4. Use SuiteQL for complex large datasets.
For datasets approaching limits, use SuiteQL queries:
Step 5. Monitor performance indicators and optimize.
Watch for imports taking over 5 minutes, Google Sheets becoming sluggish, refresh timeouts, or memory errors. Implement rolling window approaches with current month details and historical summaries.
Scale your NetSuite data exports effectively
Understanding row limits helps design sustainable data architectures that perform well over time. Start with filtered imports and expand as needed while monitoring performance metrics. Optimize your exports with smart NetSuite data management today.
