Microsoft Excel JDBC Driver

Read, Write, and Update Excel through JDBC

Easily connect live Microsoft Excel data with Java-based BI, ETL, Reporting, & Custom Apps.


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The Excel JDBC Driver enables users to connect with live Excel data, directly from any applications that support JDBC connectivity. Easily connect Java/J2EE applications with real-time data from Excel spreadsheets. Use Excel to manage the data that powers your applications.

Features

  • Access Excel data either as an entire worksheet or from discrete ranges of data within a worksheet
  • Represent discrete blocks of data as tables through automatic detection or by manually specifying ranges of data
  • Optionally specify if the first row of data should be used for field names
  • Read tables that are oriented horizontally or vertically
  • Support for Excel XLSX file format, 2007 and above
  • Connect to live Microsoft Excel data, for real-time data access
  • Full support for data aggregation and complex JOINs in SQL queries
  • Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
  • Generate table schema automatically based on existing Microsoft Excel data or manually for greater control of the content you need
  • Seamless integration with leading BI, reporting, and ETL tools and with custom applications

Specifications

  • JDBC Driver for Excel with bi-directional access.
  • Write SQL, get Microsoft Excel data. Access Excel through standard Java Database Connectivity.
  • Codeless integration with popular BI, Reporting, & ETL Tools.
  • Use Excel Spreadsheets as a simple real-time database to power Java/J2EE applications.
  • Full Unicode support for data, parameter, & metadata.
  • Support for 32-bit and 64-bit operating systems.


AVAILABLE IN:
JDBC DESKTOP SUBSCRIPTIONS
200+ JDBC Drivers For Real-Time BI & Reporting.
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Where can I use the Microsoft Excel JDBC Driver?

JDBC Access to Microsoft Excel

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.

JDBC Driver Performance

With traditional approaches to remote access, performance bottlenecks can spell disaster for applications. Regardless if an application is created for internal use, a commercial project, web, or mobile application, slow performance can rapidly lead to project failure. Accessing data from any remote source has the potential to create these problems. Common issues include:

  1. Network Connections - Slow network connections and latency issues are common in mobile applications.
  2. Service Delays - Delays due to service interruptions, resulting in server hardware or software updates.
  3. Large Data - Intentional or unintentional requests for large amounts of data.
  4. Disconnects - Complete loss of network connectivity.

The CData JDBC Driver for Microsoft Excel solves many of these issues with support for replication queries that can be used to sync data to local databases, greatly improving the performance and dramatically reduce application bottlenecks.

More information about JDBC Driver performance capabilities are available in the included documentation.

Enterprise-Class Remoting

MySQL/SQL Database entry points for Microsoft Excel Data

The CData JDBC drivers include powerful fully-integrated remoting capabilities that makes Microsoft Excel data accessible from virtually anywhere. The drivers include the optional ability to accept incoming SQL and MySQL client connections and service standard database requests.

With the CData JDBC drivers, users can interact with Microsoft Excel data from any client that supports SQL Server or MySQL: from web & mobile applications, to CRM and CMS systems, BI tools like SQL Server Analysis Services, and even through popular management applications like MySQL Workbench.

  • Access Microsoft Excel data from virtually any application that can access external data. Applications that can access SQL Server or MySQL data can now connect to Microsoft Excel with this driver.
  • Connect Microsoft Excel data with popular BI tools like SQL Server Analysis Services.
  • Enable enterprise Microsoft Excel data integration through SQL Linked Server connectivity
  • Includes support for the MySQL and SQL (TDS) remote access protocols - industry standards for remote database connectivity.
  • Offers advanced wire-protocol SSL security for remote connectivity


Enterprise-class JDBC Connectivity

The Microsoft Excel JDBC Driver offers the most natural way to access Excel data from any Java/J2EE application. Simply use the Excel Driver to connect and access data just as you would access any traditional database. The driver is completely self-contained - no additional software installation is required!

Excel Integration

The Excel Driver has the same JDBC architecture as the JDBC drivers for MySQL and OLEDB, including Connection, Statement and ResultSet objects. Because of this you can now access Excel data in an easy, familiar way. You can use the Excel Driver through popular IDEs (Eclipse, IntelliJ, NetBeans, etc.), in code through familiar classes, and in data controls available through Swing, Eclipse SWT Widgets, etc.

For example:

Connection conn =
	DriverManager.getConnection("jdbc:excel:user=myuseraccount;password=mypassword;");

boolean ret = stat.execute("SELECT * FROM ExcelSheet");
ResultSet rs=stat.getResultSet();
while(rs.next()){
  for(int i=1;i<=rs.getMetaData().getColumnCount();i++)
  {
    System.out.println(rs.getMetaData().getColumnName(i) +"="+rs.getString(i));
  }
}


More Than Read-Only: Full Update/CRUD Support

Excel Driver goes beyond read-only functionality to deliver full support for Create, Read Update, and Delete operations (CRUD). Your end-users can interact with the data presented by the Excel Driver as easily as interacting with a database table.

Connection conn =
	DriverManager.getConnection("jdbc:excel:user=myuseraccount;password=mypassword;");

String query = "UPDATE ExcelSheet SET Where= ...";

PreparedStatement pstmt = conn.prepareStatement(query);
pstmt.setString(1, "Location");
pstmt.setString(2, "UID");
pstmt.execute();
int count=pstmt.getUpdateCount();

Frequently Asked Excel JDBC Driver Questions

Learn more about Excel JDBC drivers for data and analytics integration


Yes, Excel can be used with Java . CData provides a JDBC type 4/5 driver for Excel that allows Java applications to connect to Excel using standard JDBC APIs. This driver enables you to execute SQL queries, manage connections, and process data stored in Excel from Java, or any Java-based application that supports JDBC.

Not natively. However, CData offers a JDBC driver for Excel that allows you to connect to Excel 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 Excel from applications: Connect to Excel data in popular tools and applications including Informatica, Talend, Apache Spark, Apache NiFi, and many others.
  • Real-time data: You can work with live Excel data within these applications, enabling tasks like reporting and analysis.
  • Connecting systems: Build data integrations between Excel and other systems.

The Excel 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 Excel JDBC driver today to get started.

Yes, the CData JDBC driver for Excel provides universal JDBC data connectivity for Excel. The Excel 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 Excel using a standardized set of functions. Virtually any application on any platform can use the CData JDBC driver for real-time integration.

Connectivity to Excel via JDBC is easy. First, download and install the Excel 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 Excel via JDBC are just the beginning. The documentation also provides extensive configuration details for using the Excel JDBC driver with all your favorite applications and development tools, ensuring you have all the support you need.

All of the CData JDBC drivers, including the Excel JDBC driver are available for download online. To get started, download a fully functional free trial of the Excel JDBC driver today.

To install the Excel driver, simply download one of the Excel JDBC driver installers available online. The installers are comprehensive setup utilities that will install all the components required to use the Excel JDBC driver on your system.