Recent Releases
Version 3.50.3
March 25, 2026
Bugs
Resolved Unauthorized Errors During Message Publishing
We’ve fixed an issue where messages were not being published to Connectors due to an “Unauthorized” error.
Version 3.50.2
March 20, 2026
Bugs
Dashboard Access Restored for Standard Users
Standard users can now access the dashboard as expected.
Unauthorized Errors Now Use Correct Event Codes
HTTP 401 errors are now labelled with the correct event code, making them easier to identify and troubleshoot.
Retrying Status Accuracy Improved
The "pending retrying" count now correctly matches the retry list, including in edge cases.
Version 3.50.0
March 16, 2026
Features
Expanded Explore Capabilities
This release adds expanded capabilities to Explore to provide greater control over your canonical data layer.
The concepts of standard schema and extension schema have been unified. There is no longer a distinction between standard and extension properties.
Tables can now be created and edited directly in Explore.
Tables can now be added to entities.
Records in tables can now be created, edited, and deleted directly from within Explore.
You can now define data types and nullability constraints for data types.
Import/Export Now Uses Name-Based Merging
Schema imports now use name-based merging. When importing a schema into an environment, elements (shapes, tables, and entities) with the same name are treated as the same object and merged as follows:
Shapes: If a shape with the same name already exists, it will not be updated.
Tables: If a table with the same name already exists, properties from the import file will be added or merged.
Property conflicts: Existing properties with a different data type will not be modified.
Added an Example Prompt for AI Coding Tools
Added an example prompt for AI coding tools to help produce more consistent results when building SyncHive apps. This prompt is generated when an App Registration is created or updated.
Bugs
Concurrent ID Resolution Could Create Duplicates
Fixed an issue where resolving IDs for the same record concurrently could result in duplicate records being created.
Improved filtering of soft-deleted records in Hive Explorer
Enhanced both the logic and user experience when working with soft-deleted records (isDeleted = true). Users can now clearly choose whether to include or exclude soft-deleted records when viewing all records, and can also filter explicitly by isDeleted = true or isDeleted = false for more precise results.
Improved filter query behavior with null values
Updated the filtering logic so that when a filter condition is applied (for example, a property does not equal a specific value), records with null values are correctly included in the results when they logically satisfy the query.