ODBC

Azure Data Lake Storage ODBC Driver

SQL-based access to Azure Data Lake Storage through ODBC for seamless integration with BI, ETL, and reporting with just a few clicks.

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The Azure Data Lake Storage ODBC Driver is a powerful tool that allows you to connect with live data from Azure Data Lake Storage, directly from any applications that support ODBC connectivity. Access Azure Data Lake Storage data like you would a database - read Azure Data Lake Storage data through a standard ODBC Driver interface.

Azure Data Lake Storage

See what you can do with Azure Data Lake Storage ODBC Driver

Server

SQL Server Linked-Server

Connect to Azure Data Lake Storage from SQL Server as Linked-Server. You can query Azure Data Lake Storage from familiar Transact-SQL without need of setting up another application.

Data Integration & ETL

Integrate Azure Data Lake Storage to your system through popular ETL / EAI tools such as Informatica PowerCenter. Standard SQL and Stored Procedures enable fast delivery of your integration projects.

Reporting & BI

Connect Azure Data Lake Storage from any ODBC compatible tools:

Desktop

MS Access / Excel / PowerQuery

Your familiar tools can connect to Azure Data Lake Storage using CData ODBC.

Microsoft Access
Power Query
DBeaver
and more

Azure Data Lake Storage ODBC 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.

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Azure Data Lake Storage ODBC Driver Download

Robust ODBC access to Azure Data Lake Storage

Full-featured and consistent SQL access to any supported data source through ODBC

Standards-Compliant ODBC

ODBC 3.8 compliant native protocol based drivers.
Unicode, 32-bit and 64-bit support

Support 32-bit and 64-bit applications and unicode ODBC APIs.
Cross-platform ODBC (Windows/Linux/Mac)

Available for Microsoft Windows, Unix, and Mac (macOS / OS X) platforms.
Certified ODBC Compatibility*

Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like Tableau, Microsoft Excel, and many more.
* Please visit our knowledge base to access how-to articles.
Embedded Remoting Capabilities

Our exclusive Remoting feature allows hosting the ODBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python, etc.), using any standards based technology (ODBC, JDBC, etc.). ODBC Remoting is enabled using the popular MySQL and SQL (TDS) wire protocol server.

String, Date, Numeric SQL Functions

The driver includes a library of 50 plus 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 ODBC 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.
Enterprise-class Secure Connectivity

Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.
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.

Connect to Azure Data Lake Storage—empower every team

Management & data consumer
- Easiest way to connect to Azure Data Lake Storage
- Dashboard / Reports that connect with Azure Data Lake Storage
- Data drives business, but IT teams are overwhelmed by accessing numerous siloed sources like Azure Data Lake Storage. CData ODBC Drivers offer the fastest, easiest way to connect Azure Data Lake Storage to BI tools like SAP BusinessObjects, Crystal Reports, Qlik, or Access.
IT Department
Integrate Azure Data Lake Storage to your system:
- Custom application integration with SQL
- SQL Server Linked Server
- Informatica PowerCenter
Need to integrate your internal systems with Azure Data Lake Storage? CData ODBC Drivers let you do it easily—access Azure Data Lake Storage as a SQL Server Linked Server or connect via tools like Informatica PowerCenter using an SQL-based driver, no extra middleware required.
IT Pro, Infrastructure
- Data Client of your choice
- Excel, MS Access Linked-table, PowerQuery
Still exporting and importing CSVs manually or with scripts? CData ODBC Drivers give you live access to Azure Data Lake Storage—no middleware or files needed. Use your preferred tools and stay in control of your Azure Data Lake Storage data.

AI-assisted development with CData CLI

Build Azure Data Lake Storage integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Azure Data Lake Storage schema. No more guessing table names or column types—AI sees the same metadata in your ODBC Drivers.

Your AI Knows SQL

How to find table names, column names, and how to generate SQL syntax are things that AI knows well from millions of training data. No need for customization, no hallucinations. Your AI acts like a domain specialist to Azure Data Lake Storage.

More Accurate, More Token-Efficient

With CData CLI's queryable schema detection and highly efficient queries with filters, aggregation, joins with correct pushdown, your AI will achieve more accuracy with less token usage.

Supported AI Coding Tools

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FAQs

Frequently asked Azure Data Lake Storage ODBC driver questions

Learn more about Azure Data Lake Storage ODBC drivers for data and analytics integration

Does Azure Data Lake Storage support ODBC?
Not natively. However, CData offers an ODBC driver for Azure Data Lake Storage that allows you to connect to Azure Data Lake Storage data from any ODBC-compliant application, 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 Microsoft Excel, Tableau, Power BI, 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 ODBC driver is an ODBC 3.8 compliant native protocol-based driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via ODBC, can use the CData ODBC driver for real-time integration. Download a fully functional free trial of the Azure Data Lake Storage ODBC driver today to get started.
Is there an ODBC driver for Azure Data Lake Storage?

Yes, the CData ODBC driver for Azure Data Lake Storage provides universal ODBC data connectivity for Azure Data Lake Storage. The Azure Data Lake Storage ODBC 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 (including Windows, macOS, or *nix) can use the CData ODBC driver for real-time integration.
How do I connect to Azure Data Lake Storage via ODBC?

Connectivity to Azure Data Lake Storage via ODBC is easy. First, download and install the Azure Data Lake Storage ODBC driver. The download page includes separate installers for Windows, macOS, and Unix, so please select the Azure Data Lake Storage ODBC driver that matches the platform where you intend to use the driver.

Once the installation is complete, navigate to the ODBC 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 ODBC are just the beginning. The documentation also provides extensive configuration details for using the Azure Data Lake Storage ODBC driver with all your favorite applications and development tools, ensuring you have all the support you need.
Where can I download an ODBC driver for Azure Data Lake Storage?

All of the CData ODBC drivers, including the Azure Data Lake Storage ODBC driver are available for download online. To get started, download a fully functional free trial of the Azure Data Lake Storage ODBC driver today.
How do I install an ODBC driver for Azure Data Lake Storage?

To install the Azure Data Lake Storage driver, simply download one of the Azure Data Lake Storage ODBC driver installers available online. The download page includes separate Windows, macOS, and Unix installers, so please select the Azure Data Lake Storage ODBC driver that matches the platform where you intend to use the driver. The installers are comprehensive setup utilities that will install all the components required to use the Azure Data Lake Storage ODBC driver on your system.
Is the Azure Data Lake Storage ODBC driver 32-bit or 64-bit?

The Azure Data Lake Storage ODBC driver is available in both 32-bit and 64-bit binaries. The Azure Data Lake Storage driver installer will allow you to install both options, and you can select the ODBC driver binary that is appropriate for the system where you intend to use the driver.
Does pyODBC work with Azure Data Lake Storage?

Absolutely. The Azure Data Lake Storage ODBC driver seamlessly supports pyODBC connectivity. For example, check out this article on our online knowledgebase that demonstrates how you can connect to Azure Data Lake Storage from PyCharm using pyODBC and the Azure Data Lake Storage ODBC driver.

However, besides ODBC support, we also provide native Python data connectivity for Azure Data Lake Storage. To learn more, check out the Azure Data Lake Storage Python Connector online.
Does the ODBC connector support ARM64 devices?

Yes, our ODBC connector supports ARM64 Windows.