Best GIS Software for PostgreSQL

Find and compare the best GIS software for PostgreSQL in 2026

Use the comparison tool below to compare the top GIS software for PostgreSQL on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    DashboardFox Reviews

    DashboardFox

    5000fish

    $495 one-time payment
    Dashboards, codeless reports, interactive visualizations, data security, mobile access and scheduled reports. DashboardFox is a dashboard- and data visualization tool for business users. It comes with a no-subscription pricing plan. You only pay once and the software is yours for life. DashboardFox can be installed on your own server behind your firewall. Are you looking for Cloud BI? We offer managed hosting, but you retain ownership of your DashboardFox data and licenses. DashboardFox allows users to drill down and interact with live data visualizations through dashboards and reports. Without requiring any technical knowledge, business users can create new visualizations in a codeless builder. Alternative to Tableau, Sisense and Looker, Domo. Qlik, Crystal Reports, among others.
  • 2
    Wherobots Reviews
    Wherobots provides a seamless way for users to create, test, and implement geospatial data analytics and AI pipelines directly within their current data ecosystem, with the option for cloud deployment. This solution alleviates concerns regarding resource management, scalability of workloads, and the complexities of geospatial processing and optimization. By linking your Wherobots account to the cloud database housing your data via our user-friendly SaaS web interface, you can efficiently build your geospatial data science, machine learning, or analytics applications using the Sedona Developer Tool. You can also automate the deployment of your geospatial pipeline to the cloud data platform while monitoring its performance through Wherobots. The results of your geospatial analytics tasks can be accessed in various ways, such as through a single geospatial map visualization or via API calls, ensuring flexibility in how insights are utilized. This comprehensive approach makes geospatial analytics more accessible and manageable for users at all levels of expertise.
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    SuperMap GIS Reviews

    SuperMap GIS

    SuperMap Software Co., Ltd.

    SuperMap GIS 10i(2021) includes Cloud GIS server, Edge GIS server, Terminal GIS, etc., and provides two delivery methods of offline deployment and online services (SuperMap Online).
  • 4
    PostGIS Reviews
    PostGIS serves as an extension for the PostgreSQL object-relational database, enhancing its capabilities with spatial features that enable the execution of geographic queries in SQL. Beyond just fundamental location functionalities, it provides a variety of advanced tools and features that are less common in other spatial databases like Oracle Locator/Spatial and SQL Server. Additionally, with PostgreSQL 14, PostGIS can take advantage of the improved GiST building support API, which significantly boosts performance. When compiled with the latest GEOS 3.10.1, users can benefit from enhancements in the ST_MakeValid function along with various speed optimizations, making it a powerful choice for handling spatial data effectively. This ensures that developers and analysts can work with geospatial data in a more efficient and streamlined manner.
  • 5
    CADObject Reviews
    CADObject, a distinctive creation by "ExonIT" LLC, enables the development of application systems and web services that facilitate seamless interaction between CAD and GIS applications. It allows for the creation and management of project documentation that adheres strictly to customer specifications. By enabling real-time updates to documentation, it significantly reduces operational costs. Additionally, it maintains a comprehensive history of an object's lifecycle, granting instant access to critical information as needed. The system integrates smoothly with existing enterprise systems, enhancing overall functionality. What sets CADObject apart from other similar solutions is its capability to generate an object data model during the data exchange process between CAD and GIS. This involves recognizing standard graphic symbols, categorizing them into distinct objects based on a defined classifier, and subsequently transferring them to a spatial database. Each object is assigned a specific entry within the database, which facilitates the development of analytical spatial solutions, ultimately leading to more informed decision-making. Furthermore, this innovative approach ensures that data integrity is preserved throughout the lifecycle of a project.
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