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The Azure Data Lake Storage JDBC Driver enables users to connect with live Azure Data Lake Storage , directly from any applications that support JDBC connectivity. Rapidly create and deploy powerful Java applications that integrate with Azure Data Lake Storage.
Features
- SQL access to Azure Data Lake operational data
- Compatible with Gen1 and Gen2 instances
- Connect to live Azure Data Lake Storage 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 Azure Data Lake Storage with bi-directional access.
- Write SQL, get Azure Data Lake Storage data. Access Azure Data Lake Storage through standard Java Database Connectivity.
- Codeless integration with popular BI, Reporting, & ETL Tools.
- Integrate Java Apps with Azure Data Lake Storage ADLSData, and more!
- Full Unicode support for data, parameter, & metadata.
- Support for 32-bit and 64-bit operating systems.
JDBC Access to Azure Data Lake Storage
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 Azure Data Lake Storage 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 Azure Data Lake Storage Data
The CData JDBC drivers include powerful fully-integrated remoting capabilities that makes Azure Data Lake Storage 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 Azure Data Lake Storage 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 Azure Data Lake Storage from virtually any application that can access external data. Applications that can access SQL Server or MySQL data can now connect to Azure Data Lake Storage with this driver.
- Connect Azure Data Lake Storage with popular BI tools like SQL Server Analysis Services.
- Enable enterprise Azure Data Lake Storage 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 Azure Data Lake Storage JDBC Driver offers the most natural way to access Azure Data Lake Storage data from any Java/J2EE application. Simply use the Azure Data Lake Storage 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!
Azure Data Lake Storage Integration
The Azure Data Lake Storage 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 Azure Data Lake Storage data in an easy, familiar way. You can use the Azure Data Lake Storage 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:azuredatalakestorage:user=myuseraccount;password=mypassword;"); boolean ret = stat.execute("SELECT * FROM ADLSData"); 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)); } }
Frequently Asked Azure Data Lake Storage JDBC Driver Questions
Learn more about Azure Data Lake Storage JDBC drivers for data and analytics integration
Can Azure Data Lake Storage be used with Java?
Yes, Azure Data Lake Storage can be used with Java . CData provides a JDBC type 4/5 driver for Azure Data Lake Storage that allows Java applications to connect to Azure Data Lake Storage using standard JDBC APIs. This driver enables you to execute SQL queries, manage connections, and process data stored in Azure Data Lake Storage from Java, or any Java-based application that supports JDBC.
Does Azure Data Lake Storage support JDBC?
Not natively. However, CData offers a JDBC driver for Azure Data Lake Storage that allows you to connect to Azure Data Lake Storage 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 Azure Data Lake Storage from applications: Connect to Azure Data Lake Storage data in popular tools and applications including Informatica, Talend, Apache Spark, Apache NiFi, and many others.
- Real-time data: You can work with live Azure Data Lake Storage data within these applications, enabling tasks like reporting and analysis.
- Connecting systems: Build data integrations between Azure Data Lake Storage and other systems.
The Azure Data Lake Storage 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 Azure Data Lake Storage JDBC driver today to get started.
Is there a JDBC driver for Azure Data Lake Storage?
Yes, the CData JDBC driver for Azure Data Lake Storage provides universal JDBC data connectivity for Azure Data Lake Storage. The Azure Data Lake Storage 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 Azure Data Lake Storage 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 Azure Data Lake Storage via JDBC?
Connectivity to Azure Data Lake Storage via JDBC is easy. First, download and install the Azure Data Lake Storage 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 Azure Data Lake Storage via JDBC are just the beginning. The documentation also provides extensive configuration details for using the Azure Data Lake Storage 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 Azure Data Lake Storage?
All of the CData JDBC drivers, including the Azure Data Lake Storage JDBC driver are available for download online. To get started, download a fully functional free trial of the Azure Data Lake Storage JDBC driver today.
How do I install the JDBC driver for Azure Data Lake Storage?
To install the Azure Data Lake Storage driver, simply download one of the Azure Data Lake Storage JDBC driver installers available online. The installers are comprehensive setup utilities that will install all the components required to use the Azure Data Lake Storage JDBC driver on your system.