Introducing Splitter Nodes—Branch Data Flows with Intelligent Filtering and Routing

The new splitter operational node now available in Nexla enables sophisticated data flow branching by filtering source data based on specified criteria and routing the filtered data into multiple downstream flow branches, each tailored to specific data subsets.

Splitter nodes represent a powerful addition to Nexla's operational flow nodes, allowing users to create complex data routing architectures from a single source. Instead of processing all data through identical downstream flows, users can now intelligently branch data pipelines to create specialized processing paths based on data characteristics—enabling more targeted and efficient data operations across diverse use cases.

🔷 Here's how Splitter nodes enhance your data flow architecture:

  • Intelligent data flow branching
    Create multiple downstream data flows from a single source, with each branch receiving only the data that matches its specific filter criteria, enabling targeted processing for different data subsets.
  • Criteria-based filtering and routing
    Define sophisticated filtering logic to automatically sort and route data into multiple downstream Nexsets, ensuring each branch processes only the data relevant to its specific purpose.
  • Schema consistency across branches
    Each downstream Nexset generated by a splitter node maintains the same schema as the source Nexset, ensuring data structure consistency while enabling specialized processing logic for different data subsets.
  • Built-in validation and security
    Automatic validations ensure data is correctly routed to appropriate downstream flows while maintaining all applied data access controls throughout the branching process.

This operational node significantly expands your data architecture possibilities, enabling the creation of sophisticated multi-path data processing workflows that can handle diverse data routing scenarios while maintaining data integrity and security across all branches.