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System Architecture

Positioning within the Platform​

Synapsis Analysis is positioned at the upper layer of the data pipeline within the Mative ecosystem, alongside Synapsis IoT and Synapsis ML. Its primary role is to enhance, interpret, and extract value from data, transforming processed information into actionable insights.

The logical architecture is composed of the following layers:

  • Data Ingestion Layer (Synapsis IoT) – responsible for collecting data from IoT devices, external systems, and data sources
  • Data Processing Layer (Synapsis IoT) – handles data transformation, filtering, and normalization
  • Data Storage Layer (Synapsis IoT) – manages the persistence of structured, unstructured, and time-series data
  • Data Analysis Layer (Synapsis Analysis) – enables querying, analytics, visualization, and business intelligence
  • AI Layer (Synapsis ML) – provides machine learning models, predictions, and advanced analytical capabilities

This layered architecture ensures a clear separation of responsibilities across the data lifecycle, from ingestion to advanced analytics.

Architectural Model​

The platform follows a modular and service-oriented architecture, designed to ensure flexibility, scalability, and maintainability across different deployment scenarios.

Key architectural principles include:

  • Decoupling between ingestion and analytics, allowing independent evolution and scaling of data collection and analysis components
  • Horizontal scalability, enabling the system to handle increasing data volumes and workloads by distributing processing across multiple nodes
  • Separation between compute and storage, optimizing resource utilization and improving performance
  • Multi-tenant support, ensuring logical isolation of data and configurations across different organizations or environments

This architectural approach allows Synapsis Analysis to operate efficiently in complex and large-scale data environments, while maintaining high levels of performance and reliability.