Parallel Processor Tiling Engine

While the Smallworld GIS extractor on a single-node tiles 30 times faster and storing 40 times less data than the 2nd best commercial offering, we realised that major extract coverage (National or State wide) or deep tiling zoom levels (<1:100) require even better performance.

For this reason we have developed a multi-node parallel processor only limited by the number of source GIS licences available.

Incremental Updates

Any changes made to the original extract are supplied to the LatLonGO® server and available to web and touch clients as incremental updates.

Highly scalable HTTPS Web/Mobile Server

The early release LatLonGO web server supported 400+ concurrent users on a low spec 4-core VM with 4GB of memory, allowing for excellent scalability.

Data volumes and display performance are highly optimised, in a recent benchmark the LatLonGO web server (over WiFi) outperformed the source GIS (on LAN) when displaying identical data sets to the web client.

The administrator part of the server allows for the creation of user specific configuration files defining available base layers, user layers and other administrative detail.

However, recent requests from customers requiring much larger concurrent user numbers made us re-design our web server using Couchbase NOSQL.  Now we can confidently say we can scale up from 10,000+ concurrent web client requests to satisfy even the most demanding customers.

Data Compression and Encryption

Data security is often paramount for our clients, especially when privacy data of their customers is shown on the maps.

The LatLonGO extractor stores data in highly compressed and AES-256 encrypted format on the mobile/web server for efficient and secure distribution.


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