ArcGIS Enterprise
for Tribal Nations

Key Features

Secure Data

Keep data secure through user authentication, role-based access controls, and encryption protocols that protect information both in transit and at rest.

Create Interactive Apps

Enable users to create interactive web apps by leveraging tools like Experience Builder, and StoryMaps that allow organizations to share applications securely within their network or with the public.

Manage Content

Publish, store, and organize GIS content such as maps, layers, and apps in a secure, centralized system. It also provides tools to share content with specific groups, the entire organization, or the public, while maintaining control over access and permissions.

Connect to Databases

Connect to enterprise databases like Oracle, SQL Server, and PostgreSQL through database connections, enabling direct access to spatial and non-spatial data. This allows organizations to keep content synchronized with authoritative sources.

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Included Applications

DASHBOARDS

ArcGIS Dashboards enables users to convey information by presenting location-based analytics using intuitive and interactive data visualizations on a single screen. Example

Field Maps

ArcGIS Field Maps combines map viewing, data collection, and location tracking into one mobile app to streamline field operations.

Experience Builder

Create custom, responsive web apps and pages that integrate maps, data, and interactive tools without coding. Example

Storymaps

Transform your maps and geographic information system (GIS) work into interactive content that informs, inspires, and engages stakeholders. Example

Survey 123

A form-based data collection app that allows users to capture reliable field data anytime, anywhere, even offline. Examples

Workforce

Help your organization manage fieldwork by assigning tasks, tracking worker locations, and improving real-time coordination.

ArcGIS For Excel

Visualize and analyze location-based data directly within Microsoft Excel using interactive maps.

Environments

ArcGIS on on-premise servers allows organizations to securely store, manage, and analyze their geospatial data within their own infrastructure. It provides full control over system performance, customization, and data governance without relying on external cloud services. This setup is ideal for agencies or businesses with strict security, compliance, or connectivity requirements.

ArcGIS on Microsoft Azure enables organizations to deploy GIS capabilities in a scalable and flexible cloud environment. It reduces the need for physical infrastructure while providing high availability, security, and performance. With Azure’s cloud services, organizations can quickly scale ArcGIS resources to meet changing workloads and business needs.

ArcGIS on Amazon Web Services (AWS) allows organizations to run powerful GIS workloads in a reliable and globally distributed cloud environment. It offers scalability, flexibility, and cost-efficiency by letting users expand or reduce resources as needed. With AWS, organizations can integrate ArcGIS with a wide range of cloud-native tools and services to enhance geospatial analysis and data management.

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DATABASE SERVICES

PostGres

PostgreSQL is a powerful open-source relational database system known for its reliability, scalability, and advanced data management features.

SQL Server

SQL Server is a relational database management system developed by Microsoft that supports secure, scalable storage, querying, and analysis of data.

Oracle

Oracle Server is a robust relational database management system designed for high performance, scalability, and secure data management in enterprise environments.

SAP HANA

SAP HANA is an in-memory database and application platform that delivers real-time data processing, analytics, and transactional capabilities for businesses.

Snowflake

Snowflake is a cloud-native data platform that provides secure, scalable, and flexible data storage, sharing, and advanced analytics.

Big Query

Google BigQuery is a fully managed, serverless data warehouse that enables fast SQL-based analytics on large-scale datasets.