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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.”
Large spreadsheets with 100+ fields consistently hit Salesforce metadata deployment limits, causing frustrating timeout errors and vague failure messages. The platform’s undocumented package size restrictions make importing complex datasets nearly impossible through traditional methods.
Here’s how to work around these limits entirely and get your data into Salesforce without fighting metadata deployment restrictions.
Import large datasets directly without metadata deployment using Coefficient
Coefficient bypasses Salesforce’s metadata deployment limits by using direct data import and synchronization with existing objects. Instead of creating massive custom objects that trigger API timeouts, you work with objects that already exist in your org.
This approach operates independently of metadata deployment constraints because it uses Salesforce’s REST and Bulk APIs for data operations, not object creation. You get configurable batch processing up to 10,000 records and parallel processing that scales beyond what object creation workflows can handle.
How to make it work
Step 1. Identify existing Salesforce objects that can hold your data.
Look for standard objects like Accounts, Contacts, or Opportunities that have available custom fields. You can also use existing custom objects in your org. This eliminates the need to create new objects that trigger metadata limits.
Step 2. Set up Coefficient’s “From Objects & Fields” import.
Connect to your chosen Salesforce object and select the fields you need. Coefficient shows all available fields without hitting metadata API limits. You can map your 100+ spreadsheet columns to existing fields or use a combination of objects.
Step 3. Configure staged imports for large field sets.
Split your data into logical groups if needed. Coefficient handles batch processing automatically, but you can organize related fields together for better data management. Each import can process thousands of records without metadata deployment overhead.
Step 4. Set up automated data sync schedules.
Configure hourly, daily, or weekly refresh schedules to maintain current data. Coefficient’s automated sync keeps your Salesforce data updated without repeated manual imports or deployment processes.
Step 5. Use scheduled exports for two-way data flow.
Push spreadsheet changes back to Salesforce using UPDATE or UPSERT actions. This creates a complete data synchronization system that works around all metadata deployment restrictions.
Get your large datasets into Salesforce reliably
This method provides real-time data updates and better error reporting than static object creation, all while avoiding the metadata limits that block traditional imports. Start importing your large datasets today.
