Constant Analytics, Inc. uses 11 technologies like Apache, Apache HTTP Server, and ArcGIS Online. View Constant Analytics, Inc.'s complete Tech Stack.
Constant Analytics, Inc. Programming Languages And Frameworks Technology
The Apache Project is an effort to develop and maintain an open-source HTTP server for modern operating systems including UNIX and Windows. The goal of this project is to provide a secure, efficient and extensible server that provides HTTP services in sync with the current HTTP standards.
ArcGIS Online is a complete mapping and analysis solution that enables users to connect people, locations, and data using interactive maps.
ArcGIS Pro is a powerful desktop GIS application for creating maps in 2D and 3D, analyzing data, and developing geographic knowledge.
JavaScript is the programming language of HTML and the Web.
PHP: Hypertext Preprocessor is a server-side scripting language designed for Web development, but also used as a general-purpose programming language. PHP code may be embedded into HTML code, or it can be used in combination with various web template systems, web content management systems, and web frameworks.
Constant Analytics, Inc. Platform And Storage Technology
The Apache HTTP Server is a powerful and flexible HTTP/1.1 compliant web server.
Microsoft Exchange Online is a hosted email for business.
Constant Analytics, Inc. Communications Technology
Microsoft Outlook is an personal information manager from microsoft which helps users communicate, manage schedules & find what they need quickly & easily.
Constant Analytics, Inc. Business Intelligence And Analytics Technology
SAS Analytics is a statistical software suite for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics.
SAS Data Management product suite helps large organizations manage and organize data sets across the organization.
Constant Analytics, Inc. IT Management Technology
SAS ETL helps user to build and edit data management processes, trace data usage across the organization, connect with real-time or batch to multiple data sources, migrate or synchronize data between database structures, enterprise applications, and mainframe legacy files, track metrics with job status and performance, and create and reuse existing table definitions and business rules.
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