ARLAS Exploration - Introduction

The full documentation of the ARLAS Exploration Solution built by the Gisaïa Team.


ARLAS Exploration is a solution that offers a modern and fluid Web Application for exploring your spatio-temporal BigData. The solution offers:

  • A set of highly interactive & reusable analytic components
  • A configurable web application that integrates all the analytic components within a single coherent view
  • A stateless and lightweight server offering REST services for data analytics and OGC services for a high interoperability
  • A tagging service for building sophisticated data sets

ARLAS Exploration relies on

  • elasticsearch for its search and aggregation engine
  • kafka for its messaging capabilities

What part of ARLAS Exploration should you use and how?

  • If you want a comprehensive and clear perception of your geo spatial big data, then you will probably want to deploy the ARLAS Exploration Stack.
  • If you want to create a geo-analytic web application, then you can develop your app with the ARLAS WUI Toolkit and deploy ARLAS Server on top of your elasticsearch.
  • If you want to explore your elasticsearch content with a Geographical Information System, then you simply have to deploy ARLAS Server and access your data with the OGC services.

ARLAS Exploration Stack structure

The ARLAS Exploration Stack

The stack is composed of

  • a user web interface (ARLAS-WUI)
  • a server for search and analytic services as well as OGC APIs (ARLAS Server)
  • a server for tagging the data (ARLAS Tagger)

and it relies on

  • a search/aggregation engine (Elasticsearch).
  • a messaging broker (KAFKA)


A third party API Management can be interposed between ARLAS-WUI and ARLAS Server for managing user authentication, authorization and partitionning.


The ARLAS Stack includes ARLAS-WUI (the web user interface), ARLAS Server and ARLAS Tagger (the analytic and tagging services) while the ARLAS WUI Components are the building bricks of ARLAS-WUI. ARLAS-WUI Toolkit is here to help you to develop your geo-analytic app in a couple of days.