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Powerful Connectivity to Google BigQuery

Versatile

Offers full CRUD support for standard and legacy SQL

Secure

Supports authentication mechanisms like OAUTH2.0 and Service account authentication

Seamless

Integrates seamlessly with the leading analytic and reporting applications

google_analytics

Connect to Google BigQuery via

Features

Secure

The Progress DataDirect connector for Google BigQuery supports authentication mechanisms like OAUTH2.0 and Service account authentication

Flexible

The Progress DataDirect connector for Google BigQuery supports both standard and legacy SQL dialects

Powerful

The Progress DataDirect connector for Google BigQuery returns data for complex data types, such as Array, Struct and JSON strings. It also supports result sets with configurable paging options, FetchSize and WSFetchSize

Efficient

Progress DataDirect connectors use 76% less CPU capacity and 70% less memory than our competition without sacrificing performance


Have other Cloud Data Warehouse applications?

Learn more how Progress DataDirect supports your needs.

Specification ODBC

Progress DataDirect for ODBC for Google BigQuery Version 8.0.0
(32- and 64-bit drivers are available for all supported databases and platforms unless otherwise noted.)

ODBC Version Support

  • Compatible with ODBC 3.8 applications

Version Support

  • Google BigQuery

Operating System Support

AIX (32- and 64-bit)

  • AIX, version 5.3, 6.1, 7.1 and higher

HP

  • HP-UX IPF (32- and 64-bit), 11i version 2.0 (B.11.23) and higher

Linux x86 (32- and 64-bit for AMD and Intel processors)

  • CentOS Linux x86, version 4.0, 5.0, 6.0, 7.0, 8.0 and higher
  • Debian Linux x86, version 7.0, 8.0 and higher
  • Oracle Linux x86, version 4.0, 5.0, 6.0, 7.0, 8.0 and higher
  • Red Hat Enterprise Linux x86, version 4.0, 5.0, 6.0, 7.0, 8.0 and higher
  • SUSE Linux Enterprise Server Linux x86, version 10, 11, 12, 15 and higher
  • Ubuntu Linux x86, version 14.04, 16.04, 18.04 and higher

Solaris (64-bit)

  • Solaris x86, version 10 (Solaris 5.10), 11 and higher
  • Solaris on SPARC, version 8 (Solaris 5.8), 9, 10, 11 and higher

Windows (32- and 64-bit)

  • Windows (x86), version 7, 8.1, 10 and higher
  • Windows Server (x86), version 2008, 2012, 2016 and higher

Driver/Client Software Requirements

  • Java Virtual Machine (JVM): Java SE 8 or higher (LTS version), including Oracle JDK, OpenJDK, and IBM SDK (Java) distributions.

Specification JDBC

Progress DataDirect for JDBC for Google BigQuery
Version 6.0.0

Supported Versions

  • Google BigQuery

Platform Support

  • 32- and 64-bit platforms

Software Requirements

  • Java Virtual Machine (JVM): Java SE 8 or higher (LTS version), including Oracle JDK, OpenJDK, and IBM SDK (Java) distributions.

Security Vulnerability Response Policy

Upon identification of any security vulnerability, Progress will exercise commercially reasonable efforts to address the vulnerability in accordance with the following policy:

Priority* Time Guideline Version(s)
High Risk
(CVSS 8+ or industry equivalent)
30 days Active (i.e. latest shipping version) and all Supported versions
Medium Risk
(CVSS 5-to-8 or industry equivalent)
180 days Active (i.e. latest shipping version)
Low Risk
(CVSS 0-to-5 or industry equivalent)
Next major release or best effort Active (i.e. latest shipping version)

* Priority is established based on the current version of the Common Vulnerability Scoring System (CVSS), an open industry standard for assessing the severity of computer system security vulnerabilities. For additional information on this scoring system, refer to https://en.wikipedia.org/wiki/CVSS.

Learning & Support

IN THE SPOTLIGHT

Top 10 Reasons You Need High-Performance Data Connectivity

Data Connectivity is a critical, but often overlooked component of the IT infrastructure. These components have dramatic effects on application performance, reliability and portability. Learn about for your business.

Customer Success Stories

toyota-min

When Toyota Motor Sales introduced Progress DataDirect for ODBC to their intricate data architecture, they saved $100,000 in 24 hours. Learn more in this case study from Progress Software.

Read the whole story
microstrategy-min

MicroStrategy, a leading worldwide provider of enterprise software platforms, needs to sustain its market leadership as customers demand direct access to new types of data sources, such as Salesforce.com and Hive.

Read the whole story

Connect any application to any data source anywhere

A product specialist will be glad to get in
touch with you