CData ODBC Driver for YouTube 2017CData ODBC Driver for YouTube 2017 - Build 17.0.6634
OverviewThe CData ODBC Driver for YouTube 2017 enables real-time access to YouTube data, directly from any applications that support ODBC connectivity, the most widely supported interface for connecting applications with data.
The driver wraps the complexity of accessing YouTube data in a standard ODBC driver compliant with ODBC 3.8. Applications can then access YouTube as a traditional database. The CData ODBC Driver for YouTube 2017 hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more.
- Bidirectional access.
- Access, analyze, and report on data with your SQL-based tool of choice.
- Supports 32-bit and 64-bit applications
- Supports the Unicode ODBC APIs and ODBC 3.8.
- Drivers for Windows, Linux, and macOS/OS X.
See Getting Started to create an ODBC DSN (data source name) and connect to YouTube.
Using the ODBC DriverSee Using the ODBC Driver to use the ODBC driver in some of the popular applications that connect via ODBC.
See the CData KB to connect from many other applications.
The ODBC remoting feature allows hosting the ODBC connection on a server to enable connections from virtually anywhere -- various clients on any platform (Java, .NET, C++, PHP, Python, etc.) and using any standards-based technology (ODBC, JDBC, etc.). ODBC remoting is enabled through the popular TDS (SQL Server) and MySQL wire protocols.
See SQL Broker to configure MySQL or SQL Server entry points for YouTube on your server, using the included CData SQL Broker application. The SQL Broker listens for incoming MySQL and SQL Server connections and brokers the SQL request to the ODBC data source.
This enables any MySQL or SQL Server client to connect, from PHP applications to SQL Server linked servers.
ODBC Driver API
See ODBC Driver API for information on the supported interfaces and examples of using them against YouTube data.
See SQL Compliance for a syntax reference and code examples outlining the supported SQL.
See Caching Data to configure replication and caching for a range of scenarios common to remote data access. Configurations include:
- Autocache: Automatically cache data to a lightweight database. Save data for later offline use or enable fast reporting from the cache.
- Replication: Copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands allow for intelligent incremental updates to cached data.
- No caching: Work with remote data only. No local cache file is created.
See Data Model for the available database objects. This section also provides more detailed information on querying specific YouTube entities.
Connection String Options
The Connection properties describe the various options that can be used to establish a connection.