xyzt.ai, the premier big data platform for interactive spatial and temporal analytics, proudly announces the launch of its highly anticipated V2023.4 release. This transformative update introduces an extremely powerful advanced space time query language and unlimited data stores—empowering analysts with enhanced insights and unprecedented flexibility when dealing with vast datasets.
Empowering Analysts: Advanced Space Time Query Language
xyzt.ai introduces an advanced query language tailor-made for the seamless analysis of spatio-temporal data. Specifically designed for tracked vehicles, vessels, and other movement flows, this language boasts a myriad of capabilities in querying and filtering large datasets. Analysts can now employ virtually any query on demand, enabling tasks such as visualizing and analyzing traffic flow with unprecedented ease and immediacy.
For instance, analysts can effortlessly formulate queries like “Show me all heavy vehicle traffic during the morning commute, leaving Port of Antwerp, first driving to Brussels and then driving to either Paris or Luxembourg.”
Figure 1 Users can now build more powerful spatio-temporal data-driven queries for on-demand analysis of for example traffic flows. In this example, analyzing traffic flows from Floating Vehicle Data using attribute, temporal, and spatial filters.
The adaptability of on-the-fly query creation on any data set with immediate response times proves particularly beneficial for traffic analysts dealing with dynamic scenarios, such as road works, deviations, and constructions. This feature has already been embraced by traffic and smart city analysts at the City and State of Hamburg, Strassen NRW in Germany, as well as Autobahn GmbH in Germany.
Revolutionizing Data Management: Unlimited Data Stores
In this release, xyzt.ai also introduces unlimited data stores, enabling users to store datasets with over hundreds of billions of records on the platform. Leveraging its proprietary space-time database, the platform facilitates swift and efficient no-code extraction of data subsets for analysis.
Figure 2 Quick no-code extraction from a data store consisting of hundreds of billions of records. The user can define a spatial area, time range, and additional property filters to define the subset of data requested.
For mobility and traffic analysts, data stores enable the storage of extensive historical floating vehicle data (FVD), allowing for the extraction of specific data subsets for in-depth analysis. Similarly, in the maritime domain, quick extraction of vessel tracking (AIS) data subsets proves indispensable for maritime intelligence analysts.
“Unlocking the potential of floating vehicle data, our novel cloud-first big data storage solution revolutionizes analysis for large regions and extended periods. Overcoming traditional limitations, it effortlessly stores multiple hundreds of billions of records, enabling easy no-code analysis. A game-changer in big data analytics.”
Lida Joly, CEO of xyzt.ai
The return on investment for our enhanced capabilities is truly transformative. With the introduction of the advanced space-time query language, the time to gain valuable insights has been slashed from days or weeks to mere minutes. No longer is there a need for complex, custom data analytics algorithms, making the process more efficient and accessible. The immediate visual feedback is a game-changer, saving valuable time for users.
Furthermore, the unlimited data stores bring substantial ROI. Users can effortlessly share data across the entire organization without the need for costly custom storage solutions or database administration professionals. Our no-code data store capability ensures seamless data upload and utilization with just a click of the mouse, maximizing efficiency and minimizing investment hurdles. Benchmarks have shown that organizations can save a factor x10 compared to using external data storage solutions.
To explore these game-changing features, join the xyzt.ai free trial and experience firsthand the capabilities with example datasets from our esteemed partners, including INRIX, Spire, Bridgestone, and more.
This release comes after the previous V2023.3 release in which xyzt.ai announced multi-scale trajectory support for the seamless representation, visualization, and analysis of historical movement trails. This capability already proved invaluable in domains like maritime awareness, facilitating incident analysis and the creation of port digital twins. Major industry players, including Toyota, INEOS, and Bridgestone, have already harnessed this feature. You can explore this capability yourself in the xyzt.ai free trial, with examples utilizing data from Spire Maritime and Spire Aviation.
Figure 3 Multi-scale trajectories with energy consumption color coded used during the UK 2023 EV Rally with fleet tracking data from Bridgestone Mobility Solutions and Webfleet.
Figure 4 Multi-scale trajectories used with AIS data to analyze a major maritime event at the Suez canal. Data from Spire Maritime.
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About xyzt.ai
xyzt.ai is a leading high-tech location intelligence company that enables users to gain actionable business insights through a no-code geospatial platform. Their platform facilitates the visualization and analysis of extensive motion data from various assets such as vehicles and ships, as well as time series data from non-moving sensors such as cameras, air quality sensors, and noise sensors. xyzt.ai is known for its effortless onboarding, interactive insights, and is recognized as an IDC Innovator, a member of the Open Geospatial Consortium, and a Geoawesomeness Global Top 100 Geospatial Company. They have also been awarded the Maritime Innovation Challenge by INEOS and the Port of Antwerp.