EasyTerritory vs ODL Studio

EasyTerritory provides tools for designing, managing and optimizing sales and service territories with spatial data. Territory Designer supports geography-based and account-based planning, workload balancing and capacity planning. It can import account, lead, territory and reference data from Excel, Dynamics 365, Power Platform, SQL Azure and other sources. The Power BI Territory Visual supports territory drill-down, metric-based heat maps, territory lookup, travel-time rings and point-to-point distance calculations. EasyMap embeds maps in Dynamics 365 and Power Platform, supports optimized multi-stop routes and can open directions in Apple Maps, Google Maps or Waze. A REST API supports territory lookup by postal code or coordinates and address geocoding. Standard and Enterprise cloud editions run in Microsoft Azure. Standard costs $2,400 a year and includes 60,000 Azure Maps transactions, up to 20 Power BI Territory Visual users and six support hours. Enterprise costs $7,450 a year and includes 260,000 transactions, unlimited visual users and 16 support hours. Trials last seven days for Standard and 14 days for Enterprise; registration involves a brief product demo.

ODL Studio is a free, standalone desktop application for customer-location analysis, sales territory design and fleet routing and scheduling. It stores data in Excel spreadsheets that can also be edited in Excel. The software geocodes addresses or postcodes, displays customers on a map and exports maps to PDF or Word. Users can paint territories on a map or generate them with an optimisation algorithm, then create reports with maps and territory statistics. For fleet planning, it schedules routes on real road networks, reports mileage and drive-time statistics, and shows routes on an interactive map. ODL Connect can call Studio functions from the command line for scheduled or on-demand background tasks, but it is a separate closed-source module. ODL Studio is free and open source under LGPL, with downloads listed for Windows, Linux and Mac. The Linux and Mac package requires Java Runtime 8 or higher, and the maker recommends at least 6 GB RAM and a dual-processor CPU. The downloads page lists version 1.4.1, released 3 November 2017.