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Data Lakehouse – Kontakt.io software illustration
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Data Lakehouse

Cloud-native IoT data storage and query platform. All BLE telemetry, location events, sensor readings, and device health data are ingested, normalised, and made queryable via REST API and SQL-compatible interfaces — enabling custom analytics, BI integration, and ML workloads.

Sources: All Kio Cloud event streams — location, telemetry, occupancy Ingest Rate: Real-time streaming, sub-second latency Retention: Configurable — up to multi-year historical
Kontakt.io Products
Data Lakehouse
Data Lakehouse
KIO-DL-1 Cloud SaaS
KIO-DL-1
Our Price: Request a Quote

Kio Cloud Data Lakehouse is a cloud-native IoT data platform that ingests, normalises, and stores all BLE telemetry, location events, sensor readings, and device health data from your entire Kontakt.io deployment. Query it via REST API or SQL-compatible endpoint and connect it directly to your BI and ML toolchain.

With configurable retention up to multi-year historical and connectors for Power BI, Tableau, Grafana, Azure ML, and AWS SageMaker, the Data Lakehouse turns raw IoT telemetry into actionable business intelligence — without building and maintaining your own data pipeline.

Key Features

Real-Time Ingest

Sub-second ingestion of all BLE events, location updates, and sensor readings.

SQL Query Interface

Familiar SQL-compatible endpoint — no proprietary query language to learn.

BI Tool Connectors

Native Power BI, Tableau, and Grafana connectors — dashboards in minutes.

ML-Ready Exports

Direct export to Azure ML, AWS SageMaker, and Google Vertex for predictive analytics.

Technical Specifications

Hardware and feature specifications for the Data Lakehouse.

  • Sources
    All Kio Cloud event streams — location, telemetry, occupancy
  • Ingest Rate
    Real-time streaming, sub-second latency
  • Retention
    Configurable — up to multi-year historical

  • Query Interface
    REST API + SQL-compatible endpoint
  • BI Tools
    Power BI, Tableau, Grafana connectors
  • ML Ready
    Export to Azure ML, AWS SageMaker, Google Vertex

  • Hosting
    Cloud SaaS — multi-region
  • Security
    End-to-end encryption, SOC 2 Type II
  • Data Sovereignty
    AU / US / EU region selectable

Documentation

Datasheets and reference documents for the Data Lakehouse.

Datasheet not yet available

Contact us if you need technical documentation for the Data Lakehouse.

Contact Us →
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