Devart ODBC Driver for Google BigQuery 1.0.3
Devart ODBC Driver for Google BigQuery is a high performance and feature-rich connector for ODBC-compliant applications that enables you to access, analyze and report on your BigQuery data on Windows.
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|FileCart Rating||Not yet Rated|
|OS Support||Windows Install and Uninstall|
|File Size||14.70 MB ( 15,054 KB )|
|Published||May 21, 2020 (11 months ago)|
|Updated||(No date provided)|
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* Connection to BigQuery
Our connectivity solution enables various ODBC-aware applications to connect to BigQuery directly via HTTPS. If you have no direct access to BigQuery via HTTPS, you have the option of establishing a connection through a proxy server.
* BigQuery Standard SQL
Our ODBC Driver supports all of the BigQuery standard SQL expressions, including functions and operations, and all of the BigQuery data types. Below are some examples of supported BigQuery functions: Aggregate, Array, Datetime, Geography, JSON, Navigation, Net, Hash
* DML Operations
Devart ODBC driver for Google BigQuery provides support for DML (INSERT, UPDATE, DELETE) which allows you to modify data in a BigQuery data warehouse in the same way as in any other SQL database.
* Cost-Effective Deployment
Our ODBC driver is a standalone installation file that doesn't require the user to deploy and configure any additional software such as a database client or a vendor library. Deployment costs are reduced drastically, especially when using the silent install method with an OEM license in large organizations that have hundreds of machines.
* ODBC Conformance
The driver provides full support for common ODBC interface: ODBC API Functions support, ODBC Data Types support.
You can always find the latest version of the product on the official Devart website.
|Requirements:||.NET Framework 4.5 or later is required|
|Release Info:||Major Update on May 13, 2020|
|Release Notes:||* SQLProcedures now returns an empty recordset instead of an error * SQLProcedureColumns now returns an empty recordset instead of an error|
|Related Tags:||odbc BigQuery odbc driver odbc access odbc 32 bit odbc 64 bit|
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