CData ODBC Driver for Google BigQuery 2019CData ODBC Driver for Google BigQuery 2019 - Build 19.0.7354
The CData ODBC Driver for Google BigQuery 2019 enables real-time access to Google BigQuery 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 Google BigQuery data in a standard ODBC driver compliant with ODBC 3.8. Applications can then access Google BigQuery as a traditional database. The driver 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 data source name (DSN) and connect to Google BigQuery from your platform.
Using the ODBC Driver
See Using the ODBC Driver (from Tools) for information on using the ODBC driver in some of the popular applications and programming languages that connect via ODBC. See Using the ODBC Driver (from Code) to connect to Google BigQuery from the following programming languages and for information on the supported interfaces:
See the Google BigQuery integration guides for information on connecting from other applications.
You can use SQL Linked Server to connect to the CData SQL Gateway. SQL Server treats the CData SQL Gateway as a linked SQL Server instance, so you can write full SQL queries to query your Google BigQuery data without losing performance as would happen connecting to an ODBC data source directly. The connection can be made locally or to the Gateway located on a separate machine.
See Create a Linked Server for more information.
See SQL Gateway to configure MySQL or SQL Server entry points for Google BigQuery on your server, using the included CData SQL Gateway application. The SQL Gateway 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, SQL Server linked servers, and so on.
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, and so on. 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 Google BigQuery entities.
Connection String Options
The Connection properties describe the various options that can be used to establish a connection.