Jdbc driver for excel

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 XLS and XLSX file formats, 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

• Pure Java Type 4/5 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.

1. BI, ETL, & Reporting Tools
2. Custom Applications
3. Serverless & Cloud

• Pure Java Type 4/5* Drivers

  100% Java architecture based drivers that implement the native protocol without reliance on client-side libraries.
• All-in-One Deployment

  Single JAR that supports JDBC 3.0 and JDBC 4.0 specification and JVM versions 1.5 and above.

• 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.

• Unparalleled Performance
• Straightforward Connectivity
• Native IDE Integration
• Remoting (MySQL/SQL)

1. import java.sql.*;  
2. public class ExcelConnection  
3. {  
4.     public static void main(String[] args)  
5.     {  
6.         try  
7.         {  
8.             Class.forName(«sun.jdbc.odbc.JdbcOdbcDriver»);  
9.             Connection con = DriverManager.getConnection(«jdbc:odbc:abhishek»);  
10.             Statement st = con.createStatement();  
11.             ResultSet rs = st.executeQuery(«Select * from [Sheet1$]»);  
12.             ResultSetMetaData rsmd = rs.getMetaData();  
13.             int numberOfColumns = rsmd.getColumnCount();  
14.             while (rs.next())  
15.             {  
16.                 for (int i = 1; i <= numberOfColumns; i++)  
17.                 {  
18.                     if (i > 1)  
19.                         System.out.print(«, «);  
20.                     String columnValue = rs.getString(i);  
21.                     System.out.print(columnValue);  
22.                 }  
23.                 System.out.println(«»);  
24.             }  
25.             st.close();  
26.             con.close();  
27.         } catch (Exception ex) {  
28.             System.err.print(«Exception: «);  
29.             System.err.println(ex.getMessage());  
30.         }  
31.     }  
32. }