Azure Data Lake Storage JDBC Driver
Easily connect live Azure Data Lake Storage data with Java-based BI, ETL, Reporting, AI/ML & Custom Apps.
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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.
Azure Data Lake Storage
Azure Data Lake Storage JDBC Connectivity 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 with the Azure Data Lake Storage 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.
- Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the Azure Data Lake Storage Connector.
Target Service, API
The driver connects to Azure Data Lake Storage Gen2. Hierarchical namespace storage.
Schema, Data Model
Models ADLS Gen2 filesystem as tables. Files and directories with ACLs.
Key Objects
Filesystems, Directories, Files, and ACLs. Full data lake storage access.
Operations
Read and write operations. SQL queries on file metadata. Permission management.
Authentication
Azure AD, account key, or SAS token authentication. ABFS protocol support.
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.
See what you can do with Azure Data Lake Storage JDBC Driver
Integrate Azure Data Lake Storage into your systems and data warehouses through popular Java-based ETL/EAI tools. Supports both self-hosted environments and cloud service deployment.
Connect to Azure Data Lake Storage 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 Azure Data Lake Storage JDBC Driver to rapidly deliver Java-based applications that connect with Azure Data Lake Storage. Universal SQL-based interactivity simplifies integration and speeds time to market.
Connect to Azure Data Lake Storage — empower every team
- CData JDBC Drivers for Azure Data Lake Storage 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 Azure Data Lake Storage? CData JDBC Drivers let you do it easily. Java based applications can easily connect to Azure Data Lake Storage with SQL/JDBC — any ETL, EAI (Enterprise Application Integration), ESB (Enterpriese Service Bus) can connect to Azure Data Lake Storage.
- Embed CData JDBC Drivers for Azure Data Lake Storage 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 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.
