Navixy Platform · Data & Analytics
    Query-first telematics data

    IoT Query LogoIoT Query

    A Private Lakehouse for telematics data

    Query GPS and IoT streams with SQL instead of stitching together APIs, retries, and custom data pipelines.

    Why Telematics Data Needs a Lakehouse, Not Just Dashboards

    Most telematics platforms were never designed for serious analytics. You get rigid dashboards, nightly exports, and rate-limited APIs — fine for basic monitoring, but painful when you need joined-up business insight, ML, or custom reporting.

    query_fleet_efficiency.sql
    1SELECT
    2t.vehicle_id,
    3SUM(t.fuel_consumed) AS total_fuel,
    4AVG(t.safety_score) AS avg_safety
    5FROMtelematics.trips t
    6JOINcrm.drivers d ON d.id = t.driver_id
    7WHEREt.start_time > NOW() - INTERVAL '30 days'
    8GROUP BY1;
    Query Result (0.04s)
    vehicle_01
    452.5 L
    98.2%
    Direct Access

    Stop scraping APIs.
    Start querying data.

    The Pain

    Dealing with pagination, rate limits, and nightly CSV exports just to get raw data.

    The Solution

    Connect Power BI, Tableau, or DBeaver directly to the Lakehouse. Run complex SQL joins instantly on years of history.

    Custom Intelligence

    Define your own KPIs.
    Not generic defaults.

    The Pain

    Stuck with "one-size-fits-all" scoring models that punish drivers for behaviors your fleet allows.

    The Solution

    Author your own logic in SQL. Adjust weights for braking, idling, or speeding to match your reality, then push it to any dashboard.

    Fleet Safety Score
    94/100
    Speeding Compliance98%
    Cornering / Braking85%
    Eco-Driving (Custom)92%
    IoT Query Unified
    Telematics
    ERP / Billing
    CRM
    Maintenance
    Unified Schema

    The "Single Source of Truth"
    is finally real.

    The Pain

    Telematics data sits in one silo. ERP in another. Billing in a third. Correlating them requires fragile ETL scripts.

    The Solution

    IoT Query treats business entities (drivers, customers, contracts) as first-class citizens alongside GPS data. Join them in a single query.

    The IoT Query Pipeline

    A continuous flow from raw signals to business intelligence. IoT Query orchestrates ingestion, enrichment, and storage so you can focus on the insights.

    01

    Ingest & Transform

    IoT Logic

    Decodes raw payloads from any device (GPS, CAN, sensors). Normalizes protocols and enriches streams in real-time before they hit the database.

    • Protocol Decoding
    • Real-time Enrichment
    • Unit Conversion
    02

    Store & Organize

    Private Telematics Lakehouse

    A managed PostgreSQL warehouse optimized for high-volume time-series data. Stores billions of records with hot/cold retention policies you control.

    • PostgreSQL Compatible
    • AES-256 Encryption
    • Auto-Partitioning
    03

    Model & Analyze

    Business Data Repository

    Maps telematics IDs to real-world entities: drivers, assets, jobs, and contracts. Exposes a rich SQL schema for BI tools, AI models, and apps.

    • Entity Graph
    • OpenAPI Access
    • Custom Fields

    From Raw Device Signals to Business-Ready KPIs

    IoT Query organizes your information into refined layers. Start with the raw foundation, refine into trusted datasets, and deliver executive-grade insights at the top.

    Gold Layer
    The Business Layer

    KPI & AI-Ready

    Business-friendly marts and feature stores: fleet performance, safety scores, logistics SLAs, vertical-specific KPIs. Built to power dashboards, ML models, and AI assistants without additional heavy data modeling.

    Silver Layer
    The Analytical Layer

    Cleansed & Time-Aligned

    Normalized time-series tables and curated joins across devices, trips, and business entities. Designed to make common analytical questions fast and repeatable without reinventing the wheel in every query.

    Bronze Layer
    The Raw Layer

    Raw & Complete

    Full-fidelity telematics and business data with all the detail intact. Perfect for data analysts, data scientists, and engineers who need complete control and transparency.

    Who IoT Query Is Built For

    IoT Query is designed so fleets, TSPs, integrators, and OEMs can all build their own "data advantage".

    TSPs & White-Label Platforms

    • Launch new analytics-driven services without rebuilding your core.
    • Differentiate with advanced dashboards and reports for key verticals.
    • Reduce churn by giving customers direct SQL access to their data.

    System Integrators & Consultants

    • Start every project with a ready-to-use telematics schema.
    • Focus on business logic, not inventing pipelines from scratch.
    • Deliver faster, more maintainable solutions on top of Navixy.

    ISVs / OEMs

    • Embed telematics insights directly into your own applications.
    • Combine device data with your ERP/CRM/BPM systems in SQL.
    • Keep ownership of data while leveraging Navixy as the analytical engine.

    Enterprise Fleets & Operations

    • Unify vehicles, drivers, routes, and jobs in one analytical view.
    • Track utilization, safety, and service quality with your own KPIs.
    • Give operations, finance, and management a single source of truth.

    Security, Residency, and Compliance Built-In

    IoT Query is delivered as a managed cloud service with strong isolation and governance. Each tenant's lakehouse is operated in its chosen region, with encryption and access controls aligned to modern security standards.

    • Regional hosting & residency

      Deploy IoT Query in specific regions so telematics data stays within required jurisdictions.

    • Encryption & tenant isolation

      Encryption at rest and in transit, strict tenant boundaries, and controlled access for users and tools.

    • Enterprise-grade practices

      Designed to align with SOC 2 / ISO 27001-grade processes across operations, monitoring, and incident response.

    IoT Query security, residency, and compliance features

    Get Started with IoT Query

    Whether you're a TSP, an enterprise fleet, or a system integrator, IoT Query slots into your existing Navixy deployment and your existing analytics stack.

    1

    Enable IoT Query

    Work with Navixy to enable IoT Query for your account, choose your region, and define initial scope.

    2

    Connect your favorite tools

    Use standard PostgreSQL connections with tools like pgAdmin, DBeaver, Power BI, Tableau, Superset, dbt, or Python notebooks.

    3

    Evolve to Silver & Gold layers

    Start with raw and joined SQL queries on Bronze. As your analytical needs grow, leverage Silver for optimized time-series analytics and Gold for executive-ready KPIs and ML workflows.

    Not sure where to start? We can review your current telematics setup and sketch an initial IoT Query architecture together.