SMART CACHING

The Twitter Data Provider is based on a lightweight, exceptionally efficient connectivity layer coupled with 'smart' caching technology providing a highly responsive data access layer for applications. This results in:

• More responsive applications
• Increased portability though reduced hardware requirements
• Online and offline data access through configurable caching [learn more]

API LEVELING

RSSBus ADO.NET Data Providerss provide a consistent experience when working with any applications, databases, and services through a standard ADO.NET interface. The Twitter Data Provider is no exception. The same techniques your applications uses to access data through the Twitter Data Provider can be used to access data through any other ADO.NET Provider.

• Reduce the time required to create and maintain applications
• Enhanced developer productivity
• Reduced code errors through increased consistency
• Access non-SQL data and make it easily available to reporting and analysis tools & components

SECURE CONNECTIVITY

Twitter Data Provider comes standard with Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications. The ADO.NET provider offers the maximum security available for accessing all Twitter services.

• End-to-end secure access to sensitive data
• Advanced proxy and firewall capabilities

FULLY-MANAGED .NET

The Twitter Data Provider is a 100% fully-managed ADO.NET Data provider written in C#. Twitter Data Provider supports key .NET development technologies including:

• Seamless integration with Visual Studio 2005, 2008, and 2010
• LINQ to Datasets
• ADO.NET 2.0
• .NET Framework 2.0, 3.0, 3.5, and 4.0
• ADO.NET Entity Framework

LOWER TCO

By investing in Twitter Data Provider, you reduce your total cost of ownership for integration technologies by:

• Reducing the system resources necessary to support data connectivity
• Reducing the time required to deploy and maintain applications
• Providing a cost effective solution for accessing proprietary or non-SQL data and making it available to widely used reporting and analysis tools