DSPL Tiling Service

MTS enables you to easily upload and transform your own proprietary

geospatial data to then be used in elegant, performant and customizable

maps and services within the Mapbox platform.

Gain insight with the Tileset explorer

Tile size metrics, x-ray data preview, job and recipe history for MTS.

Cost effective scaling

We help developers cut costs on data processing. DSPL Tiling Service integrates custom datasets of any size into maps faster, more affordably, and with greater flexibility and control—letting developers stay focused on building applications rather than managing mapping infrastructure.

Parallelized data processing

DSPL Tiling Service converts datasets of any size into custom tilesets and keeps maps updated as data changes. Its distributed, parallel processing architecture delivers performance up to 90 percent faster than traditional mapping infrastructure.

Designing data in Studio

Data uploaded through DSPL Tiling Service can be styled in Studio and combined with other tilesets. Designers manage every aspect of a tileset—from performance to visual design—using flexible recipes to achieve the desired look and functionality.

Building blocks

Overview

Browse the DSPL Tiling Service docs, check system requirements, and see helpful examples.

Need help to begin? Sample code shows how to get started quickly.


Start in minutes with the DSPL Tilesets CLI—a Python command-line tool for creating tilesets using the DSPL Tiling Service.

For more control, access the DSPL Tiling Service programmatically with HTTP API endpoints to prepare and upload your data.

DSPL provides APIs that help developers create custom maps effortlessly. The platform processes any volume or complexity of data into custom tilesets and automatically updates maps as information changes.

Recipes are what truly distinguish DSPL from other tiling solutions. These configuration rules instruct the DSPL Tiling Service how to convert data into tiles. Recipes give you detailed control of tile generation—covering simplification, zoom-level range, geometry unioning, attribute manipulation, and more.

 {
  "version": 1,
  "layers": {
    "city_labels": {
      "source": 
      "DSPL://tileset-source/{username}/populated-places",
      "minzoom" : 0,
      "maxzoom" : 7,
      "features" : {
        "attributes" : {
          "allowed_output" : 
          ["name_en"]
        }
      },
      "tiles" : {
        "limit" : 
        [["lowest_where_in_distance", true, 64, "SCALERANK"]]
      }
    }
  }
}

Developers maintain full control over who can access their data. DSPL’s management interface allows developers to create, revoke, and monitor access control tokens with ease. For detailed guidance, see our Tokens API documentation. In addition, SAML single sign-on is available for all DSPL customers, enabling teams with multiple users to collaborate securely and maintain strict data privacy standards.

DSPL lets you store data in two independent regions. Built-in processing and storage redundancy safeguards uptime by protecting against unexpected, region-wide outages. If the primary region ever goes down, DSPL processing and storage automatically and seamlessly fail over to the secondary region.

Denounce with righteous indignation and dislike men who are beguiled and demoralized by the charms pleasure moment so blinded desire that they cannot foresee the pain and trouble.

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