The Google Search JDBC Driver enables users to connect with live Google Search results, directly from any applications that support JDBC connectivity. Easy-to-use Google client enables Java-based applications to easily search and filter Google search results.
Google Search JDBC Connectivity Features
- Connect to live Google Search data, for real-time data access with the Google Search ODBC Driver
- Full support for data aggregation and complex JOINs in SQL queries
- Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
- Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the Google Search Connector.
Target Service, API
The driver connects to Google Custom Search API. Web search results access.
Schema, Data Model
Models search results as queryable data. Custom search engine results.
Key Objects
Web Results, Images, and Metadata. Google search data access.
Operations
Read-only search queries. Result filtering and pagination. No modifications.
Authentication
API key authentication. Custom Search Engine ID required.
JDBC Access to Google Search
Full-featured and consistent SQL access to any supported data source through JDBC
-
Certified Compatibility*
Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like SAP Crystal Reports, Pentaho, Business Objects, Crystal Reports and many more.
-
Metadata Discovery
Full support for JDBC DatabaseMetaData provides extensive schema discovery capabilities. Explore tables, columns, keys, and other data constructs based on user identity.
-
Developer Friendly
Design-time support for all major Java IDEs, including Eclipse, IntelliJ, and NetBeans.
-
JDBC Remoting
Our exclusive remoting feature allows hosting the JDBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python), using any standards-based technology (ODBC, JDBC, etc.). JDBC Remoting is enabled using the popular MySQL wire protocol server.
-
Replication and Caching
Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.
-
String, Date, Numeric SQL Functions
The driver includes a library of over 50 functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.
-
Collaborative Query Processing
Our drivers enhance the data source's capabilities by additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.
-
Easily Customizable and Configurable
The data model exposed by our JDBC Drivers can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.
-
Secure Connectivity
Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.
See what you can do with Google Search JDBC Driver
Integrate Google Search into your systems and data warehouses through popular Java-based ETL/EAI tools. Supports both self-hosted environments and cloud service deployment.
Connect to Google Search from any JDBC-compatible BI, reporting, and data virtualization platform. Provides seamless integration using SQL as the standard query interface across all tools.
Use the Google Search JDBC Driver to rapidly deliver Java-based applications that connect with Google Search. Universal SQL-based interactivity simplifies integration and speeds time to market.
Connect to Google Search — empower every team
- CData JDBC Drivers for Google Search will act as if it is a native connector for you ETL, BI, Data Virtualization tool.
- Organizations can connect to the new services to capture full view of business, or migrate to modern data technology while maintaining the connection to existing sytems.
- Speed up your AI initiative with CData. Connect your data with the AI / ML platform of your choice.
Need to integrate your internal systems with Google Search? CData JDBC Drivers let you do it easily. Java based applications can easily connect to Google Search with SQL/JDBC — any ETL, EAI (Enterprise Application Integration), ESB (Enterpriese Service Bus) can connect to Google Search.
- Embed CData JDBC Drivers for Google Search to your product and differentiate with your connectivity
- Standard SQL access. Stop researching on different authentication, data model and query methods.
- Utilize your resource to build your product, CData takes care of your connectivity
Frequently Asked Google Search JDBC Driver Questions
Learn more about Google Search JDBC drivers for data and analytics integration
Can Google Search be used with Java?
Yes, Google Search can be used with Java . CData provides a JDBC type 4/5 driver for Google Search that allows Java applications to connect to Google Search using standard JDBC APIs. This driver enables you to execute SQL queries, manage connections, and process data stored in Google Search from Java, or any Java-based application that supports JDBC.
Does Google Search support JDBC?
Not natively. However, CData offers a JDBC driver for Google Search that allows you to connect to Google Search data from any Java-based application that supports JDBC, just like you would access a traditional database. This can be useful for tasks like:
- Accessing Google Search from applications: Connect to Google Search data in popular tools and applications including Informatica, Talend, Apache Spark, Apache NiFi, and many others.
- Real-time data: You can work with live Google Search data within these applications, enabling tasks like reporting and analysis.
- Connecting systems: Build data integrations between Google Search and other systems.
The Google Search JDBC driver is a pure Java type 4/5 driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via JDBC, can use the CData JDBC driver for real-time integration. Download a fully functional free trial of the Google Search JDBC driver today to get started.
Is there a JDBC driver for Google Search?
Yes, the CData JDBC driver for Google Search provides universal JDBC data connectivity for Google Search. The Google Search JDBC driver offers a simple SQL-based layer of abstraction that simplifies real-time data access for users and applications, enabling them to communicate with Google Search using a standardized set of functions. Virtually any application on any platform can use the CData JDBC driver for real-time integration.
How do I connect to Google Search via JDBC?
Connectivity to Google Search via JDBC is easy. First, download and install the Google Search JDBC driver.
Once the installation is complete, navigate to the JDBC driver documentation page. Here, you'll find a wealth of information about the installed driver. The step-by-step instructions for creating a DSN and using it to connect to Google Search via JDBC are just the beginning. The documentation also provides extensive configuration details for using the Google Search JDBC driver with all your favorite applications and development tools, ensuring you have all the support you need.
Where can I download a JDBC driver for Google Search?
All of the CData JDBC drivers, including the Google Search JDBC driver are available for download online. To get started, download a fully functional free trial of the Google Search JDBC driver today.
How do I install the JDBC driver for Google Search?
To install the Google Search driver, simply download one of the Google Search JDBC driver installers available online. The installers are comprehensive setup utilities that will install all the components required to use the Google Search JDBC driver on your system.
Popular JDBC Videos:
