nCino Release Notes 25.3

nCino + DataLoader - Release 25.3.12

Release Date: September 28, 2025

Multi-Bucket Support

Enhanced multi-bucket handling to ensure records are processed without creating duplicate entries.

Viewing Diff Count

Fixed an issue preventing users from viewing record differences when multiple templates were committed to the repository. Diff counts now display accurately.

Templates with Multi-Buckets

Resolved a deployment failure scenario where templates containing multiple buckets caused object deployment errors.

Build Failure Due to Null Entry

Fixed a defect where builds failed because of null entry objects. Builds now complete successfully.

Error Uploading to S3

Improved stability of data uploads to S3 to ensure seamless and reliable transfers.

Multi-Object Set Template

Implemented safeguards to prevent failures in multi-object set templates during execution.


nCino + DataLoader - Release 25.3.11

Release Date: September 21, 2025

Multi-bucket Rollback

Enhanced rollback functionality to ensure that inserted records are deleted and updated records are accurately reverted to their previous state.

Multi-bucket – Duplicate Objects

Resolved an issue where duplicate objects were displayed when working with multiple buckets..

Single DataLoader – Attachments Processing

Fixed an issue where optional fields were incorrectly considered during delete operations — now only record IDs are considered for deleting the records.

Feature Deployment – Object Duplication

Addressed duplication issues when using the same branch with the VC Revision Range option including both commits. Objects are no longer duplicated.

Multi-bucket Support

Introduced support for multi-bucket functionality in templates, enabling better CI/CD data migration deployments and commits..


nCino + DataLoader - Release 25.3.10

Release Date: September 14, 2025

Fix for Field Order in DataLoader Module Results

Resolved an issue where the ID and Status/Error fields were displayed in an incorrect order when viewing success or failure results in the Data Loader modules.

Optimized Log Display for Bulk Operations

Enhanced the log display for bulk operations to present users with optimized, clear, and relevant information for better troubleshooting and analysis.


nCino + DataLoader - Release 25.3.9.1

Release Date: September 10, 2025

AuditLog – Null Pointer Exception Fix

A fix has been provided to address a null pointer exception occurring in instances with AuditLog enabled, ensuring stable and consistent execution.


nCino + DataLoader - Release 25.3.8

Release Date: August 31, 2025

Data Migration Flow Fix

Resolved an issue caused by an unwanted forward slash that disrupted the complete data migration flow in both nCino and Data Loader. Customers must re-run the affected jobs to process data successfully.


nCino + DataLoader - Release 25.3.7

Release Date: August 24, 2025

Uber Jar Dependency

The dependency on the uber jar has been removed. Bulk data operations are now handled programmatically in the backend, improving efficiency, stability, and maintainability of the system.

Handling Source ID

A Salesforce discrepancy previously prevented source IDs from being fetched correctly. This issue has been resolved with a code fix, ensuring accurate retrieval and consistency of source IDs.

Org-Level Permissions

A code fix has been applied to enforce correct permission requirements:

  • Source ORGs now only require read access.

  • Destination ORGs require write access.


nCino + DataLoader - Release 25.3.6

Release Date: August 17, 2025

Handling Record Types

A fix has been implemented to ensure that Record Types are now correctly assigned to records during processing. This resolves issues where records were previously created or updated without the appropriate Record Type association.

DataLoader Pro

A fix has been rolled out to ensure that, during data deployment, the deployment status is fetched accurately, resulting in a more reliable and successful deployment process.


nCino + DataLoader - Release 25.3.5

Release Date: Aug 10, 2025

Logs Enhancements

Improved logging capabilities for enhanced tracking and traceability.

Cloning Data Loader Pro Jobs

Enhanced Data Loader Pro job cloning to ensure accurate replication with all settings retained.

Data Loader Clone Functionality

Improved cloning process for Data Loader jobs to maintain configuration integrity.

DL File Handling

Resolved issues to ensure reliable upload, insert, and delete operations for files.


nCino + DataLoader - Release 25.3.4

Release Date: August 03, 2025

Commit Jobs

The processing of the commit jobs through the commit workspace has been streamlined.

DataLoader Pro – Stability Improvement

An issue affecting the reliability of Data Loader Pro job execution has been resolved, ensuring smoother performance under high-load conditions.

DataLoader Pro – Clone Issue

An issue that is occurring during the clone operation is rectified

DataLoader Pro – Clone Operation Fix

Resolved an issue where the clone functionality did not behave as expected, ensuring cloned jobs retain original configurations accurately.


nCino + DataLoader - Release 25.3.3

Release Date: July 27, 2025

CI Job Execution

CI Job execution via the queue has been streamlined to ensure consistent and reliable processing.

nCino & DataLoader – Leading and Trailing Spaces

A fix has been implemented to ensure leading and trailing spaces are correctly handled during nCino and DataLoader job executions, improving data accuracy and consistency.


nCino + DataLoader - Release 25.3.2

Release Date: July 20, 2025

Feature Template

Resolved an issue impacting feature template functionality to ensure seamless loading, selection, and execution across workflows.

Data Deployment via Migration Template

Implemented a fix to ensure reliable data deployment using migration templates, addressing inconsistencies during dataset migration.


nCino + DataLoader - 25.3.1 Release Notes

Release Date: July 13, 2025

Pagination

A fix has been implemented to ensure that pagination functions reliably and transitions between pages occur seamlessly without disruptions.

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