Edge IQ

Product Overview

Edge IQ for Behavure is a data integration solution for creating and maintaining high‑performance data pipelines. Our platform provides a reliable, repeatable, scalable, and simplified approach for automating data flow between systems, as well as handling all common pipeline transformations. This minimizes the engineering effort required to solve data integration challenges.

Customers leverage Edge IQ to extract value from their data faster, with less complexity and overhead. Simplifying data engineering at both the edge and core is what Edge IQ for Behavure does best.

Decentralized Processing - Process, enrich and route data at the source, reducing latency and bandwidth costs while improving data quality.
No-Code Data Pipeline Management - Connect to any data source through intuitive visual interfaces without complex scripting or coding.
Data Agnostic Universal Integrations - Easily integrate all major data sources from legacy systems to modern APIs and IoT devices.

User Experience (UX)

Intuitive Interface
Define, schedule, and monitor pipelines via a visual editor that’s accessible to teams without deep data‑engineering expertise.
Visual Pipeline Builder
Drag‑and‑drop components simplify development, testing, and troubleshooting.
Versioning & Rollback
All pipeline definitions are versioned for auditability and easy rollback.
Centralized Secrets
Manage static and dynamic (runtime) credentials securely from a single pane of glass.

Advanced Data Routing

Universal Connectivity
Direct any structured, semi‑structured, or unstructured data from any source to any destination.
Edge‑to‑Core Consistency
Apply the same routing and transformation logic across distributed edge nodes and centralized clusters.
No‑Code Enrichment
Configure real‑time filtering, enrichment, and optimization through the visual editor—no software development skills required.

Centralized Management & Collaboration

Holistic Pipeline Dashboard
Gain a unified view of job status, performance metrics, and alerts across all workers and environments.
Team Collaboration
Intuitive tools and workflows reduce bottlenecks—data engineers, analysts, and ops teams can work together more efficiently.
Audit Trail
Track every change, deployment, and pipeline run for full lifecycle oversight.

Privacy & Security

Security is core to Edge IQ’s design, engineered for the most sensitive environments:

Tamper‑Proof Pipelines
Cryptographically secure data processing across all nodes.
Self‑Hosted Control
Maximize privacy by self‑managing your deployment, with full control over PII cleanup, redaction, and obfuscation—even at the edge.

Real‑Time Monitoring

Comprehensive Telemetry
Collect and expose internal metrics, events, and logs for live visibility.
External Integration
Forward system telemetry to SIEMs, observability platforms, or custom dashboards via native exporters and webhooks.

Benefits

Accelerated Time‑to‑Value
Onboard new users quickly with UI‑driven pipelines and reusable templates.
Cost Efficiency
Lower infrastructure spend through optimized, high‑throughput processing.
Reduced Complexity
Empower non‑engineers to contribute to data projects, freeing experts to focus on innovation.
Consistent Best Practices
Turn repeatable workflows into templates to enforce standards across the organization.

Architecture

Secure-by-design, scalable distributed architecture
Edge‑native data processing
Centralized configuration management
Cloud‑native, on‑premise, and hybrid deployment options
Real‑time monitoring and remote capture on live pipelines
Usage metrics collection and audit logging

YAML Configuration

Edge IQ supports comprehensive YAML-based configuration for defining data pipelines, making it easy to version control and automate deployments:

Input Definitions
- Configure data sources using YAML
- Define connection parameters, authentication, and polling intervals
- Specify data format and parsing rules
- Set up error handling and retry policies
Output Definitions
- Define destination endpoints and protocols
- Configure batching and buffering settings
- Set up data transformation rules
- Specify error handling and retry mechanisms
Action Definitions
- Define data transformation steps
- Configure filtering and enrichment rules
- Set up conditional routing logic
- Specify data validation and quality checks

Example YAML structure:

pipeline:
  name: "example-pipeline"
  inputs:
    - type: "s3"
      config:
        bucket: "source-bucket"
        region: "us-east-1"
  actions:
    - type: "transform"
      config:
        rules:
          - field: "timestamp"
            operation: "format"
            format: "ISO8601"
  outputs:
    - type: "http-post"
      config:
        endpoint: "https://api.example.com/data"
        headers:
          Authorization: "Bearer ${API_KEY}"

Contact

Email: sales@behavure.ai
Website: www.behavure.ai

Support

Need help with Edge IQ? Contact our support team at support@behavure.ai.