Impala Connectors

Drivers & Connectors

ODBC JDBC ADO.NET AI (MCP)

BI Tools & Spreadsheets

Power BI Tableau Excel Google Sheets

Data Integration (ETL/ELT)

Sync

SAAS/Cloud Connectivity

Connect AI

Other Technologies

SSIS Python
Docs
AI Coding
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ODBC

Impala ODBC Driver

Read, write, and update Impala through ODBC

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Other Technologies

Apache Cassandra

Apache HBase

Apache Avro

Apache CouchDB

Apache HDFS

Apache Hive

Apache Kafka

Apache Parquet

Apache Phoenix

Apache Spark SQL

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CData Drivers now work with AI Coding tools

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

Impala

See what you can do with Impala ODBC Driver

Server

SQL Server Linked-Server

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

Data Integration & ETL

Integrate Impala 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 Impala from any ODBC compatible tools:

Desktop

MS Access / Excel / PowerQuery

Your familiar tools can connect to Impala using CData ODBC.

Impala ODBC Connectivity Features

Connect to live Apache Impala data, for real-time data access with the Apache Impala ODBC Driver
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 Impala Connector.

Target Service, API

The driver connects to Apache Impala. MPP SQL engine for Hadoop.

Schema, Data Model

Models Impala databases and tables. Parquet and other format support.

Key Objects

Databases, Tables, Views, and Functions. Hadoop data access via SQL.

Operations

Full SQL queries on Hadoop data. Read-heavy workloads. Some DML support.

Authentication

Kerberos, LDAP, or no authentication. Impala daemon connection.

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Impala ODBC Driver Download

Robust ODBC access to Apache Impala

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 Impala—empower every team

Management & data consumer
- Easiest way to connect to Impala
- Dashboard / Reports that connect with Impala
- Data drives business, but IT teams are overwhelmed by accessing numerous siloed sources like Impala. CData ODBC Drivers offer the fastest, easiest way to connect Impala to BI tools like SAP BusinessObjects, Crystal Reports, Qlik, or Access.
IT Department
Integrate Impala to your system:
- Custom application integration with SQL
- SQL Server Linked Server
- Informatica PowerCenter
Need to integrate your internal systems with Impala? CData ODBC Drivers let you do it easily—access Impala 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 Impala—no middleware or files needed. Use your preferred tools and stay in control of your Impala data.

AI-assisted development with CData CLI

Build Impala integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Impala 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 Impala.

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 Impala ODBC driver questions

Learn more about Impala ODBC drivers for data and analytics integration

Does Impala support ODBC?
Not natively. However, CData offers an ODBC driver for Impala that allows you to connect to Impala data from any ODBC-compliant application, just like you would access a traditional database. This can be useful for tasks like:
- Accessing Impala from applications: Connect to Impala data in popular tools and applications including Microsoft Excel, Tableau, Power BI, and many others.
- Real-time data: You can work with live Impala data within these applications, enabling tasks like reporting and analysis.
- Connecting systems: Build data integrations between Impala and other systems.
The Impala 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 Impala ODBC driver today to get started.
Is there an ODBC driver for Impala?

Yes, the CData ODBC driver for Impala provides universal ODBC data connectivity for Impala. The Impala 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 Impala 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 Impala via ODBC?

Connectivity to Impala via ODBC is easy. First, download and install the Impala ODBC driver. The download page includes separate installers for Windows, macOS, and Unix, so please select the Impala 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 Impala via ODBC are just the beginning. The documentation also provides extensive configuration details for using the Impala 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 Impala?

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

To install the Impala driver, simply download one of the Impala ODBC driver installers available online. The download page includes separate Windows, macOS, and Unix installers, so please select the Impala 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 Impala ODBC driver on your system.
Is the Impala ODBC driver 32-bit or 64-bit?

The Impala ODBC driver is available in both 32-bit and 64-bit binaries. The Impala 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 Impala?

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

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

Yes, our ODBC connector supports ARM64 Windows.