- Release notes
- March 2026
- February 2026
Data Fabric release notes
Optimized modeling for entities connected to multiple systems
With multi-source entity modeling in Data Fabric, you can reference fields from multiple external systems (e.g., Salesforce, ServiceNow) along with their own defined fields.
Previously, users were able to create chained associations, such as:
Local fields → Salesforce object → ServiceNow object
Data Fabric is designed to connect business data across multiple systems, enable scalable column expansion from authoritative sources, and maintain clear 1:1 and 1:N relationships. To support this consistently at scale, entities must follow a structured, business-centric modeling pattern. This keeps the data model business-centric, clean, and aligned with proven enterprise data modeling principles.
We now recommend a star schema architecture when connecting more than one system. All connected systems, including custom-defined fields and external objects, should map directly to a core entity, rather than chaining through one another.
This star schema approach creates a clean layout, as presented in the following example:
This update results in the following impact:
-
Existing entities that do not follow the star schema design will continue to work as-is and can still be consumed in Apps, Automations, and other downstream experiences.
However, you will not be able to:
- modify non–star schema entities.
- create new entities using chained (multi-hop) modeling.
- All new entities must follow the star schema approach.
The benefits of using a star schema approach:
- eliminates dependency chains;
- simplifies querying;
- improves maintainability and evolution.
Updated support for external systems
We are reducing the number of external systems that can be used for field referencing as part of our focus on stability, performance, and predictable behavior.
Currently, the following external systems are available:
- Database Hub (Databricks, Oracle DB, PostgreSQL, Redshift, Snowflake and MS SQL Server)
- Salesforce
- ServiceNow
- Snowflake
This change results in the following impact:
- Existing entities, created using previously supported connectors, will continue to function without disruption.
- You can continue consuming these entities in Apps, Automation workflows, Maestro, etc. However, you will not be able to:
- modify these entities (e.g., add/remove fields, change mappings).
- create new entities using the previously supported external systems.
- Any new entity creation must use the currently supported systems.
Search and filter capabilities extended to external fields
Data Fabric now supports the search and filter functionalities for external fields as well, making it possible to:
- apply field-level filters on external systems to retrieve relevant records only;
- perform search operations on external reference fields.
Other contexts in which you can use searching and filtering:
- Data Fabric activities (Query Entity Records, Query Multiple Entity Records)
- Apps data sources
- Maestro task-level data access
This improvement significantly expands the real-world use cases for Data Fabric in building unified, cross-system apps and automations.
Introducing the Query Multiple Entity Records activity
Query Multiple Entity Records, a new Data Fabric activity, is now available.
The new activity allows you to:
- query two entities in a single activity;
- apply joins (Inner or Left) between the two entities;
- work with combined data results in a single output;
- use the output directly in workflows, Apps, or downstream logic.
The Query Multiple Entity Records activity is automatically available when the Database Hub external system is enabled.
To enable the Database Hub external system, you have to raise a ticket with our support team.
For more information, refer to Query Multiple Entity Records.