JSON ODBC Driver 2016
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The JSON ODBC Driver is a versatile tool that enables you to effortlessly connect to live JSON web services using any application or tool that supports ODBC connectivity. With this driver, you can easily read, write, and update JSON data directly from your applications.
One of the key features of the JSON ODBC Driver is its straightforward ODBC connectivity, which allows you to access JSON services through widely available tools with a standard ODBC interface. This ensures the greatest accessibility from various applications and developer technologies.
The driver also offers advanced wire-protocol SSL security for secure remote connectivity. It facilitates faster application deployment and configuration, supporting both 32-bit and 64-bit systems. Additionally, the ODBC Remoting feature enables hosting the ODBC connection on a server, allowing connections from clients on any platform using any standards-based technology.
With a library of over 50 SQL functions, including string, date, and numeric functions, the driver provides powerful capabilities to manipulate column values and achieve desired results. Collaborative query processing enhances the data source's capabilities by enabling additional client-side processing for analytic summaries of data.
The JSON ODBC Driver is compliant with ODBC 3.8 standards and ensures secure connectivity with enterprise-class security features such as TLS/SSL data encryption for all client-server communications. It also supports major development technologies like PHP, Python, Delphi, Visual Basic, PowerBuilder, FoxPro, and FileMaker Pro.
Not only does the driver support 32-bit and 64-bit applications, but it also offers unicode ODBC APIs. It is easily customizable and configurable to suit your specific requirements.
Overall, the JSON ODBC Driver provides a reliable and efficient solution for accessing and manipulating JSON web services through ODBC connectivity. Its certified compatibility and powerful capabilities make it an essential tool for BI, reporting, ETL, database, and analytics tasks.
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