To improve compatibility with data platforms that treat fixed-width character padding as significant, Enterprise Insights (EI) will change several column data types from NCHAR to NVARCHAR. This update prevents trailing and padding spaces from propagating into customer data warehouses and analytics tools, causing configuration and processing issues.
We plan to make this change to the Enterprise Insights schema in version 11.19, which first ships to environments on the continuous release track on December 5, 2025.
Please review this announcement to understand what’s changing, how it may impact your integrations, and what actions you need to take to prepare.
Why we’re making this change
We are changing the data type of several columns in EI to assure:
- Downstream compatibility: Some systems (such as Snowflake) treat trailing spaces as meaningful characters, which can break joins, filters, and equality checks.
- Data quality and consistency: NVARCHAR avoids automatic right-padding that occurs with NCHAR, reducing unexpected whitespace and the need for post-load trimming.
- Operational simplicity: Reduces edge cases in ETL/ELT logic, improves report accuracy, and simplifies cross-system mappings.
Impacts of this change
As a result of these data type changes, the next Enterprise Insights schema will include differences that may interfere with existing integrations, models, and tests if they assume fixed-width (padded) values.
How to prepare
To prepare for the data type changes, you can take the following actions:
- Review your downstream data models and dashboards for any explicit assumptions about fixed-width padding or trailing spaces.
- Remove redundant TRIM, RTRIM, or LTRIM steps that were previously used to compensate for NCHAR padding where they are no longer needed.
- Validate critical joins and equality predicates in Snowflake or other data warehouses to ensure they do not depend on padded values.
- If your schema enforcement or testing frameworks pin data types, update expectations from NCHAR to NVARCHAR for impacted columns.
Columns affected
Use the table below to review the columns that will change from NCHAR to NVARCHAR.
| View name | Column names | Old data type | New data type |
|---|---|---|---|
| Anchor Sprint |
|
NCHAR(50) | NVARCHAR(50) |
| Epic |
|
NCHAR(50) | NVARCHAR(50) |
| Epic History |
|
NCHAR(50) | NVARCHAR(50) |
| Feature |
|
NCHAR(50) | NVARCHAR(50) |
| Feature History |
|
NCHAR(50) | NVARCHAR(50) |
| Jira State Mapping |
|
NCHAR(50) | NVARCHAR(50) |
| Jira State Object Mapping |
|
NCHAR(50) | NVARCHAR(50) |
| Program Increment |
|
NCHAR(10) | NVARCHAR(10) |
| Sprint |
|
NCHAR(50) | NVARCHAR(50) |
| Story |
|
NCHAR(50) | NVARCHAR(50) |
| Story History |
|
NCHAR(50) | NVARCHAR(50) |
| Task |
|
NCHAR(50) | NVARCHAR(50) |
| Theme |
|
NCHAR(50) | NVARCHAR(50) |
| Theme History |
|
NCHAR(50) | NVARCHAR(50) |
| Capability |
|
NCHAR(50) | NVARCHAR(50) |
| Capabiltiy History |
|
NCHAR(50) | NVARCHAR(50) |
| Region |
|
NCHAR(10) | NVARCHAR(10) |
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