Microsoft Excel JDBC Driver
Easily connect live Excel data with Java-based BI, ETL, Reporting, AI/ML & 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.
Excel
Excel JDBC Connectivity 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 with the Microsoft Excel ADO.NET Provider
- 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 via the Excel Connector.
Target Service, API
The JDBC driver can connect with data on Microsoft Excel. The Excel file can be the ones on your local machine. We also support Excel files stored on a remote environment such as Amazon S3, Azure Blob Storage, Azure Data Lake Storage Gen1, Azure Data Lake Storage Gen2, Azure Data Lake Storage Gen2 SSL, Azure Files, Box, Dropbox, FTP, FTPS, Google Cloud Storage, Google Drive, HDFS, HDFS Secure, HTTP, HTTPS, IBM Object Storage Source, OneDrive, OneLake, Oracle Cloud Storage, SFTP, or SharePoint.
Schema, Data Model
CData Microsoft Excel JDBC Driver supports the Office Open XML+ spreadsheets used by Microsoft Excel 2007 and later. currently supports .xlsx and .xlsm files. However, only read operations are supported for .xlsm files. Modifying data operations for .xlsm may cause loss of or damage to macros.
Key Objects
The JDBC Driver for Microsoft Excel allows you to manipulate Excel files in a variety of ways. The driver supports reading data vertically and horizontally as well as from user-defined ranges and named ranges. Refer to Selecting Data and Modifying Data for examples of different ways of querying and modifying spreadsheet data.
Operations
SELECT operations with filtering and JOINS are supported.
Supports UPDATE, INSERT, and DELETE operations for local Excel file. For Excel files stored on remote storage, only SELECT operations are supported.
Authentication
The driver supports multiple AuthScheme required to securely connect to Excel files in various remote services.
Specific feature or properties
AggregateFiles, Null handling, Formula handling, Recalculate, data type detection and many strong feature to deal with Excel data.
JDBC Access to Microsoft Excel
Full-featured and consistent SQL access to any supported data source through JDBC
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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.
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Metadata Discovery
Full support for JDBC DatabaseMetaData provides extensive schema discovery capabilities. Explore tables, columns, keys, and other data constructs based on user identity.
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Developer Friendly
Design-time support for all major Java IDEs, including Eclipse, IntelliJ, and NetBeans.
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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.
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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.
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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.
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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.
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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.
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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 Excel JDBC Driver
Integrate Excel into your systems and data warehouses through popular Java-based ETL/EAI tools. Supports both self-hosted environments and cloud service deployment.
Connect to Excel 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 Excel JDBC Driver to rapidly deliver Java-based applications that connect with Excel. Universal SQL-based interactivity simplifies integration and speeds time to market.
Connect to Excel — empower every team
- CData JDBC Drivers for Excel 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 Excel? CData JDBC Drivers let you do it easily. Java based applications can easily connect to Excel with SQL/JDBC — any ETL, EAI (Enterprise Application Integration), ESB (Enterpriese Service Bus) can connect to Excel.
- Embed CData JDBC Drivers for Excel 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 Excel JDBC Driver Questions
Learn more about Excel JDBC drivers for data and analytics integration
Can Excel be used with Java?
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.
Does Excel support 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.
Is there a JDBC driver for Excel?
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.
How do I connect to Excel via JDBC?
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.
Where can I download a JDBC driver for Excel?
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.
How do I install the JDBC driver for Excel?
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.
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