We Tested Catalogic's Limits - Here Are the Numbers

Today we want to share something interesting with you: real performance data from our recent volume testing.

One of Catalogic's standout features is its ability to upload massive quantities of catalog items - products, attributes, pricing adjustments, and more - in a single operation. No more tedious clicking through thousands of individual entries. But this naturally raises an important question: What are the actual limits? How many records can you realistically push into a Salesforce product catalog in one go?

We decided to find out.

The Test: Push Until We Break

Our approach was refreshingly straightforward: keep uploading product records until we hit a wall.

The results? We consistently reached 14,000-15,000 records before hitting our first limitation - the Google Apps Script platform's 30-minute execution timeout. While there are technical workarounds for this timeout, achieving 15,000 records in a single operation is already pretty impressive.

What These Numbers Mean for You

🚀 Scale That Actually Matters

15,000 records is substantial for most real-world use cases. Yes, some enterprise catalogs contain more products, but you can still manage them effectively in Catalogic by breaking large uploads into logical batches.

⚡ Perfect for Stress Testing

Need to set up massive product catalogs for solution testing or demos? You can now do it effortlessly, loading thousands of records in minutes rather than hours.

📊 Consistent Performance Across Entity Types

This upper limit applies consistently across different catalog entities - attributes, specifications, pricing elements, and other catalog components all perform at similar scales.

🔗 Smart Handling of Connected Records

When loading interconnected data (like products with their categories and classifications), the limits are slightly lower but still measured in thousands - more than sufficient for typical daily operations.

The Bottom Line

You can reliably manage thousands of products and related records in Catalogic without breaking a sweat. Whether you're migrating an existing catalog, setting up test environments, or managing regular bulk updates, these performance numbers show that Catalogic can handle serious workloads.

Ready to experience this power yourself? Sign up for our pilot program and see what large-scale catalog management feels like when it actually works the way it should.