Navixy’s Private Telematics Lakehouse (PTL) is an organized storage of structured telematics, business and meta data provided for any analytics needed at operational and strategic levels. PTL provides direct, unified, and secured SQL native access to comprehensive asset and sensor data, enabling real-time monitoring, historical analysis, and advanced analytics in one powerful and scalable environment.
SQL-native access to telematics data
The Private Telematics Lakehouse offers raw SQL access to the entire telematics dataset – from high-frequency GPS streams and IoT sensor logs to driver assignments and maintenance records. Unlike traditional APIs or dashboards, PTL eliminates rate limits and format restrictions, allowing data engineers and analysts to explore their data with full flexibility and granularity. It ensures complete dataset availability, so organizations can query raw GPS trackers’ data, sensor readings, and business entity records without limitations. PTL enables flexible data exploration, removing the dependency on dashboards and static reports. Users can retrieve exactly the data they need, on their own terms, using SQL syntax. It is also PostgreSQL-compatible, integrating seamlessly with BI tools, notebooks, and ML pipelines.
BI and ML seamless integration
PTL integrates natively into the modern data stack, connecting directly with BI dashboards such as Power BI, Tableau, Superset or other monitoring tools like Grafana for real-time visualization. It supports advanced data engineering workflows by working seamlessly with dbt, Apache Airflow, or custom SQL jobs for ETL and pipeline automation. For machine learning, PTL enables direct access to historical sensor data in Spark or Python environments, allowing organizations to build predictive models for use cases such as predictive maintenance or driver scoring. PTL empowers data analysts, data engineers, and decision-makers to derive meaningful, immediate, and actionable context.
Multi-layer data accessibility
PTL delivers a unique value proposition by enabling seamless access to data across medallion architecture, purposefully designed to serve diverse user roles. At the foundational level, technical users like data analytics and scientists can dive into raw data for modeling and further enrichment. The middle layer offers curated, modeled datasets, enabling business analysts and product owners to interact with clean, analytics-ready data through intuitive tools, without the need for deep technical expertise. At the top, executive and strategic roles can work with performance metrics and KPIs created to their decision-making needs.
Performance and governance at scale
Navixy’s Private Telematics Lakehouse is built on a modern lakehouse architecture that combines the scalability of a data lake with the performance and governance of a warehouse. This design enables the efficient ingestion of billions of telemetry points while maintaining high-speed query responsiveness. PTL provides historical depth for trend analysis and evaluations, real-time access to streaming data with minimal delay, and the ability to join telematics data with business context for richer, enterprise-grade insights.
Zero infrastructure overhead
PTL eliminates the complexity traditionally associated with ingesting, transforming, storing, and accessing telematics data. It removes the need to manage infrastructure, worry about total cost of ownership (TCO), or allocate staff for ongoing system maintenance. By providing secure, direct access without the overhead of infrastructure or access control management, PTL ensures zero operational friction. It unifies fragmented data sources into a single, queryable environment, breaking down silos and enabling high-performance analytics at scale.
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