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The Zoho Inventory JDBC Driver enables users to connect with live Zoho Inventory data, directly from any applications that support JDBC connectivity. Rapidly create and deploy powerful Java applications that integrate with Zoho Inventory.
Features
- SQL access to Zoho Inventory data
- SQL Stored Procedures for applying credits, exporting invoices, confirming sales orders, and more
- Powerful metadata querying enables SQL-like access to non-database sources
- Push down query optimization pushes SQL operations down to the server whenever possible, increasing performance
- Client-side query execution engine, supports SQL-92 operations that are not available server-side
- Connect to live Zoho Inventory 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.
- Seamless integration with leading BI, reporting, and ETL tools and with custom applications
Specifications
- JDBC Driver for Zoho Inventory with bi-directional access.
- Write SQL, get Zoho Inventory data. Access Zoho Inventory through standard Java Database Connectivity.
- Codeless integration with popular BI, Reporting, & ETL Tools.
- Integrate Java Apps with Zoho Inventory Bills, Warehouses, InventoryAdjustments, Items, and more!
- Full Unicode support for data, parameter, & metadata.
- Support for 32-bit and 64-bit operating systems.
JDBC Access to Zoho Inventory
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.
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:
- Network Connections - Slow network connections and latency issues are common in mobile applications.
- Service Delays - Delays due to service interruptions, resulting in server hardware or software updates.
- Large Data - Intentional or unintentional requests for large amounts of data.
- Disconnects - Complete loss of network connectivity.
The CData JDBC Driver for Zoho Inventory solves these issues by supporting powerful smart caching technology that can greatly improve the performance and dramatically reduce application bottlenecks.
Smart Caching
Smart caching is a configurable option that works by storing queried data into a local database. Enabling smart caching creates a persistent local cache database that contains a replica of data retrieved from the remote source. The cache database is small, lightweight, blazing-fast, and it can be shared by multiple connections as persistent storage.
Caching with our JDBC Drivers is highly configurable, including options for:
- Auto Cache - Maintain an automatic local cache of data on all requests. The provider will automatically load data into the cache database each time you execute a SELECT query. Each row returned by the query will be inserted or updated as necessary into the corresponding table in the cache database.
- Explicit Cache - Cache only on demand. Developers decide exactly what data gets stored in the cache and when it is updated. Explicit caching provides full control over the cache contents by using explicit execution of CACHE statements.
- No Cache - All requests access only live data and no local cache file is created.
This powerful caching functionality increases application performance and allows applications to disconnect and continue limited functioning without writing code for additional local storage and/or data serialization/deserialization.
More information about JDBC Driver caching and best caching practices is available in the included help files.
Enterprise-Class Remoting
MySQL/SQL Database entry points for Zoho Inventory Data
The CData JDBC drivers include powerful fully-integrated remoting capabilities that makes Zoho Inventory 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 Zoho Inventory 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 Zoho Inventory data from virtually any application that can access external data. Applications that can access SQL Server or MySQL data can now connect to Zoho Inventory with this driver.
- Connect Zoho Inventory data with popular BI tools like SQL Server Analysis Services.
- Enable enterprise Zoho Inventory 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 Zoho Inventory JDBC Driver offers the most natural way to access Zoho Inventory data from any Java/J2EE application. Simply use the Zoho Inventory 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!
Zoho Inventory Integration
The Zoho Inventory 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 Zoho Inventory data in an easy, familiar way. You can use the Zoho Inventory 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:zohoinventory:user=myuseraccount;password=mypassword;"); boolean ret = stat.execute("SELECT * FROM Bills"); 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
Zoho Inventory 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 Zoho Inventory Driver as easily as interacting with a database table.
Connection conn = DriverManager.getConnection("jdbc:zohoinventory:user=myuseraccount;password=mypassword;"); String query = "UPDATE Bills SET Where= ..."; PreparedStatement pstmt = conn.prepareStatement(query); pstmt.setString(1, "Location"); pstmt.setString(2, "UID"); pstmt.execute(); int count=pstmt.getUpdateCount();
Frequently Asked Zoho Inventory JDBC Driver Questions
Learn more about Zoho Inventory JDBC drivers for data and analytics integration
Can Zoho Inventory be used with Java?
Yes, Zoho Inventory can be used with Java . CData provides a JDBC type 4/5 driver for Zoho Inventory that allows Java applications to connect to Zoho Inventory using standard JDBC APIs. This driver enables you to execute SQL queries, manage connections, and process data stored in Zoho Inventory from Java, or any Java-based application that supports JDBC.
Does Zoho Inventory support JDBC?
Not natively. However, CData offers a JDBC driver for Zoho Inventory that allows you to connect to Zoho Inventory 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 Zoho Inventory from applications: Connect to Zoho Inventory data in popular tools and applications including Informatica, Talend, Apache Spark, Apache NiFi, and many others.
- Real-time data: You can work with live Zoho Inventory data within these applications, enabling tasks like reporting and analysis.
- Connecting systems: Build data integrations between Zoho Inventory and other systems.
The Zoho Inventory 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 Zoho Inventory JDBC driver today to get started.
Is there a JDBC driver for Zoho Inventory?
Yes, the CData JDBC driver for Zoho Inventory provides universal JDBC data connectivity for Zoho Inventory. The Zoho Inventory 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 Zoho Inventory 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 Zoho Inventory via JDBC?
Connectivity to Zoho Inventory via JDBC is easy. First, download and install the Zoho Inventory 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 Zoho Inventory via JDBC are just the beginning. The documentation also provides extensive configuration details for using the Zoho Inventory 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 Zoho Inventory?
All of the CData JDBC drivers, including the Zoho Inventory JDBC driver are available for download online. To get started, download a fully functional free trial of the Zoho Inventory JDBC driver today.
How do I install the JDBC driver for Zoho Inventory?
To install the Zoho Inventory driver, simply download one of the Zoho Inventory JDBC driver installers available online. The installers are comprehensive setup utilities that will install all the components required to use the Zoho Inventory JDBC driver on your system.