SuiteAnalytics Connect vs NSAW performance differences for large Excel datasets

using Coefficient excel Add-in (500k+ users)

Compare SuiteAnalytics Connect and NSAW performance for large Excel datasets. Discover a third option that often outperforms both traditional NetSuite reporting methods.

“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.”

5 star rating coeff g2 badge

Both SuiteAnalytics Connect and NetSuite Analytics Warehouse (NSAW) have performance limitations when handling large datasets in Excel. ODBC overhead creates connection timeouts, while NSAW requires data warehouse setup with batch processing delays and additional licensing costs.

Here’s a third option that often outperforms both traditional methods for Excel-based NetSuite reporting, plus specific performance advantages for large dataset handling.

Outperform both options with Coefficient ‘s optimized architecture

NetSuite users dealing with large datasets can achieve better performance through Coefficient’s direct API access and cloud processing capabilities. This bypasses ODBC overhead while avoiding the complexity and cost of NSAW setup.

The key performance advantage is intelligent data fetching that only pulls requested fields, plus server-side refresh processing that doesn’t lock up Excel during large data operations.

How to make it work

Step 1. Connect Coefficient to NetSuite for direct API access.

Install Coefficient and authenticate with NetSuite. This establishes direct API communication that bypasses ODBC layer latency and connection pool limitations.

Step 2. Use SuiteQL for complex aggregations.

Write SuiteQL queries for server-side processing of complex joins and calculations. The 100K row limit prevents runaway queries while optimizing performance for large datasets.

Step 3. Leverage smart field selection.

Import only the fields you need using Records & Lists or Saved Searches. This reduces data transfer overhead and improves refresh speeds compared to pulling entire tables.

Step 4. Schedule refreshes during off-peak hours.

Set automated refresh timing for optimal performance. Cloud processing handles large datasets without impacting your local Excel performance.

Get superior performance without NSAW complexity

This approach delivers 2-3x faster initial loads and consistent refresh performance regardless of Excel file size. You get efficient handling of datasets up to 100K rows without the setup complexity of NSAW or the limitations of traditional ODBC connections. Try Coefficient for better NetSuite performance in Excel without additional licensing costs.

500,000+ happy users
Get Started Now
Connect any system to Google Sheets in just seconds.
Get Started

Trusted By Over 50,000 Companies