
Geo-Hiker™
Spatio-Temporal Big Data Boosting Engine
As the world is becoming progressively instrumented and interconnected, data is more ubiquitous and richer than ever before. Unbeknownst to many, 80% of all data is spatio-temporal (space-time) – data that has both location and time-series information.
The multi-dimensional nature of spatio-temporal big data itself makes it more complex and more hardware-heavy to aggregate and process than general big data. Thus, specialized technology and functions are required to do spatio-temporal big data processing more efficient.
Wherever spatio-temporal data exists, Geo-Hiker can be applied.
Booster for efficient analysis and optimized decision-making
Geo-Hiker is Dtonic's proprietary spatio-temporal big data processing engine, designed to optimize large-scale data operations. It serves as the core technology behind Dtonic's solutions, D.hub and D.EView, powering advanced data-driven decision-making.
Unlike traditional big data processing systems, Geo-Hiker enhances system performance and efficiency by providing specialized technology for handling spatio-temporal data. By integrating Geo-Hiker, Dtonic's solutions enable businesses and organizations to analyze vast amounts of data more quickly and cost-effectively.
Through 100% Hadoop Eco-System compatibility and support functions of various data stores and visualization tools, existing big data systems can enjoy the benefits of Geo-Hiker’s high-performing spatio-temporal data processing architecture without data or system migration.
High compatibility & scalability

Reduce resource Costs
90%
Increase System Speed
40x
GEO-HIKER USE CASES
While Geo-Hiker itself is not a standalone product, it serves as the engine behind Dtonic's industry-specific solutions, supporting use cases such as:
Smart City
Road Safety Service (Commercial Drivers)
Fine-Dust and Pollution Analysis and Prediction Testing
Predicted 238B dollar industry by 2022
Forest/ Agriculture
Tourism & Forest Recreation Service Platform
AI-based Decision-Making Platform for Field Crops
Future Mobility
Autonomous Vehicle Communication system analysis
Aerospace and airport data enhancements
Predicted 620B dollar industry by 2025
Weather/Pollution
Air Quality Decision-Making Platform based on weather information
Smart Livestock Decision-Making Platform based on weather information
Healthcare
COVID 19 Epidemiological Support System efficiently contact traces COVID-19 infections and predicts infection hotspots in less than 5 minutes
Smart Factory
2D/3D Monitoring, Automatic Meter Reading, Digital Twin
Energy Reduction, Automation Processing Control
Fault & Anomaly Detection
Geo-Hiker FAQs
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Spatio-temporal big data consists of information that includes both time-series and location data. Examples include tracking vehicle movements, monitoring weather patterns, and analyzing demographic shifts. Due to its multidimensional nature, specialized processing functions are required to handle this data efficiently.
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Geo-Hiker is built for seamless integration with big data platforms, including Hadoop, Apache Spark, and various cloud-based environments. It enhances existing infrastructures without requiring extensive data migration.
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By utilizing Dtonic's solutions, businesses can leverage Geo-Hiker’s advanced spatio-temporal data processing to enhance decision-making, optimize operations, and reduce costs.
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No, Geo-Hiker is not a standalone product for direct purchase. It is the core technology powering Dtonic's solutions, D.hub and D.EView, which leverage Geo-Hiker's capabilities for advanced spatio-temporal data processing.
However, get in touch with us to discuss how Geo-Hiker could help in your data processing needs! -
Yes, Geo-Hiker is designed to handle real-time spatio-temporal data streams, enabling businesses to gain immediate insights and make data-driven decisions faster.
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Geo-Hiker powers solutions across various industries, including smart cities, mobility, healthcare, environmental monitoring, manufacturing, and more. Any organization dealing with large-scale spatio-temporal data can benefit from its capabilities.
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