Impala Drivers & Connectors
for Data Integration

Connect to live Apache Impala from BI, analytics, and reporting tools through bi-directional data drivers. Easily integrate Impala data with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.


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Other Technologies



BI & Analytics



Our drivers offer the fastest and easiest way to connect real-time Impala data with BI, analytics, reporting and data visualization technologies. They provide unmatched query performance, comprehensive access to Impala data and metadata, and seamlessly integrate with your favorite analytics tools.

LEARN MORE: Connectivity for BI & Analytics

Popular BI & Analytics Integrations



Alteryx Designer: Prepare, Blend, and Analyze Impala in Alteryx Designer (ODBC) Alteryx Designer: Work with Live Impala Data in Alteryx Designer (Connect Cloud) Amazon QuickSight: Build Interactive Dashboards from Impala Data in Amazon QuickSight Amazon SageMaker: Integrate Live Impala data into Amazon SageMaker Canvas Aqua Data Studio: Connect to Impala in Aqua Data Studio AWS Databricks: Process & Analyze Impala Data in Databricks (AWS) Azure Analysis Services: Model Impala Data Using Azure Analysis Services Birst: Build Visualizations of Impala in Birst BIRT: Design BIRT Reports on Impala Clear Analytics: Build Charts with Impala in Clear Analytics Cognos Analytics (On-Prem): Analyze Impala Data in Cognos Analytics DBxtra: Build Dashboards with Impala in DBxtra Domo: Create Datasets from Impala in Domo Workbench Dundas BI: Build Dashboards with Impala in Dundas BI Excel (on Mac OS): Work with Impala Data in MS Excel on Mac OS X FineReport: Feed Impala into FineReport Google Sheets: Access Live Impala Data in Google Sheets IBM Cognos BI: Create Data Visualizations in Cognos BI with Impala Infragistics Reveal: Analyze Impala Data in Infragistics Reval JasperServer: Create Impala Reports on JasperReports Server Jaspersoft BI Suite: Connect to Impala in Jaspersoft Studio JReport Designer: Integrate with Impala in JReport Designer Klipfolio: Create Impala-Connected Visualizations in Klipfolio KNIME: Enable the Impala JDBC Driver in KNIME LINQPad: Working with Impala in LINQPad Looker: Analyze Impala Data in Looker Looker Studio: Create Reports from Impala Data in Looker Studio Metabase: Create Interactive Impala-Connected Metabase Dashboards Microsoft Excel: Access Live Impala Data in Excel Desktop Microsoft Excel for the Web: Access Live Impala Data in Excel for the Web Microsoft SSAS: Build an OLAP Cube in SSAS from Impala MicroStrategy: Connect to Live Impala Data in MicroStrategy through Connect Cloud MicroStrategy: Use the CData JDBC Driver for Impala in MicroStrategy Microstrategy Desktop: Use the CData JDBC Driver for Impala in MicroStrategy Desktop Microstrategy Web: Use the CData JDBC Driver for Impala in MicroStrategy Web Mode Analytics: Create Impala-Connected Visualizations in Mode OBIEE: Impala Reporting in OBIEE with the Impala JDBC Driver pandas: Use pandas to Visualize Impala in Python Pentaho Report Designer: Integrate Impala in the Pentaho Report Designer Power BI Desktop: Author Power BI Reports on Real-Time Impala Power BI Service: Visualize Live Impala Data in the Power BI Service Power Pivot: Access Impala Data in Microsoft Power Pivot Power Query: Access Impala Data in Microsoft Power Query Qlik Cloud: Create Apps from Impala Data in Qlik Sense Cloud QlikView: Connect to and Query Impala in QlikView over ODBC R: Analyze Impala in R (JDBC) R: Analyze Impala in R (ODBC) RapidMiner: Connect to Impala in RapidMiner Redash: Build Impala-Connected Dashboards in Redash SAP Analytics Cloud: Analyze Impala Data in SAP Analytics Cloud SAP Business Objects: Create an SAP BusinessObjects Universe on the CData JDBC Driver for Impala SAP Crystal Reports: Publish Reports with Impala in Crystal Reports SAS: Use the CData ODBC Driver for Impala in SAS for Real-Time Reporting and Analytics SAS JMP: Use the CData ODBC Driver for Impala in SAS JMP Sisense: Visualize Live Impala in Sisense Spago BI: Connect to Impala in SpagoBI Tableau: Visualize Impala in Tableau Desktop Tableau Cloud: Build Impala Visualizations in Tableau Cloud Tableau Server: Publish Impala-Connected Dashboards in Tableau Server TIBCO Spotfire: Visualize Impala in TIBCO Spotfire through ADO.NET TIBCO Spotfire: Visualize Impala Data in TIBCO Spotfire TIBCO Spotfire Server: Operational Reporting on Impala from Spotfire Server Visio: Link Visio Shapes to Impala Zoho Analytics: Create Impala-Connected Dashboards in Zoho Analytics

ETL, Replication, & Warehousing



From drivers and adapters that extend your favorite ETL tools with Impala connectivity to ETL/ELT tools for replication — our Impala integration solutions provide robust, reliable, and secure data movement.

Connect your RDBMS or data warehouse with Impala to facilitate operational reporting, offload queries and increase performance, support data governance initiatives, archive data for disaster recovery, and more.


Popular Data Warehousing Integrations



Airbyte: Connect to Impala Data in Airbyte ELT Pipelines Amazon Redshift: Automated Continuous Impala Replication to Amazon Redshift Amazon S3: Automated Continuous Impala Replication to Amazon S3 Apache Airflow: Bridge Impala Connectivity with Apache Airflow Apache Camel: Integrate with Impala using Apache Camel Apache Cassandra: Automated Continuous Impala Replication to Apache Cassandra Apache Kafka: Automated Continuous Impala Replication to Apache Kafka Apache NiFi: Bridge Impala Connectivity with Apache NiFi Apache NiFi Batch Operations: Perform Batch Operations with Impala Data in Apache NiFi AWS Glue: Build ETL Jobs with Impala Data in AWS Glue Jobs Azure Data Factory: Import Impala Data Using Azure Data Factory Azure Data Lake: Automated Continuous Impala Replication to Azure Data Lake Azure Synapse: Automated Continuous Impala Replication to Azure Synapse BIML: Use Biml to Build SSIS Tasks to Replicate Impala to SQL Server CloverDX: Connect to Impala in CloverDX (formerly CloverETL) Couchbase: Automated Continuous Impala Replication to Couchbase CSV: Automated Continuous Impala Replication to Local Delimited Files Databricks: Automated Continuous Impala Replication to Databricks FoxPro: Work with Impala in FoxPro Google AlloyDB: Automated Continuous Impala Replication to Google AlloyDB Google BigQuery: Automated Continuous Impala Replication to Google BigQuery Google Cloud SQL: Automated Continuous Impala Replication to Google Cloud SQL Google Data Fusion: Build Impala-Connected ETL Processes in Google Data Fusion Heroku / Salesforce Connect: Replicate Impala for Use in Salesforce Connect HULFT Integrate: Connect to Impala in HULFT Integrate IBM DB2: Automated Continuous Impala Replication to IBM DB2 Informatica Cloud: Integrate Impala in Your Informatica Cloud Instance Informatica PowerCenter: Create Informatica Mappings From/To a JDBC Data Source for Impala Jaspersoft ETL: Connect to Impala in Jaspersoft Studio Microsoft Access: Automated Continuous Impala Replication to Microsoft Access Microsoft Azure Tables: Automated Continuous Impala Replication to Azure SQL Microsoft Excel: Transfer Data from Excel to Impala Microsoft Power Automate: Build Impala-Connected Automated Tasks with Power Automate (Desktop) MongoDB: Automated Continuous Impala Replication to MongoDB MySQL: Automated Continuous Impala Replication to MySQL Oracle Data Integrator: ETL Impala in Oracle Data Integrator Oracle Database: Automated Continuous Impala Replication to Oracle petl: Extract, Transform, and Load Impala in Python PostgreSQL: Automated Continuous Impala Replication to PostgreSQL Replicate to MySQL: Replicate Impala to MySQL with PowerShell SAP HANA: Automated Continuous Impala Replication to SAP HANA SingleStore: Automated Continuous Impala Replication to SingleStore SnapLogic: Integrate Impala with External Services using SnapLogic Snowflake: Automated Continuous Impala Replication to Snowflake SQL Server: Automated Continuous Impala Replication to SQL Server SQL Server Linked Server: Connect to Impala Data as a SQL Server Linked Server SQLite: Automated Continuous Impala Replication to SQLite Talend: Connect to Impala and Transfer Data in Talend UiPath Studio: Create an RPA Flow that Connects to Impala in UiPath Studio Vertica: Automated Continuous Impala Replication to a Vertica Database

Workflow & Automation Tools



Connect to Impala from popular data migration, ESB, iPaaS, and BPM tools.

Our drivers and adapters provide straightforward access to Impala data from popular applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and many more.

Popular Workflow & Automation Tool Integrations



Developer Tools & Technologies



The easiest way to integrate with Impala from anywhere. Our Impala drivers offer a data-centric model for Impala that dramatically simplifies integration — allowing developers to build higher quality applications, faster than ever before. Learn more about the benefits for developers:



Popular Developer Integrations



.NET Charts: DataBind Charts to Impala .NET QueryBuilder: Rapidly Develop Impala-Driven Apps with Active Query Builder Angular JS: Using AngularJS to Build Dynamic Web Pages with Impala Apache Spark: Work with Impala in Apache Spark Using SQL AppSheet: Create Impala-Connected Business Apps in AppSheet Bubble.io: Build Impala-Connected Apps in Bubble C++Builder: DataBind Controls to Impala Data in C++Builder Choreo: Build Custom Apps on Impala Data in Choreo ColdFusion: Query Impala in ColdFusion Using JDBC ColdFusion: Query Impala in ColdFusion Using ODBC Dash: Use Dash & Python to Build Web Apps on Impala Delphi: DataBind Controls to Impala Data in Delphi DevExpress: DataBind Impala to the DevExpress Data Grid EF - Code First: Access Impala with Entity Framework 6 EF - LINQ: LINQ to Impala EF - MVC: Build MVC Applications with Connectivity to Impala Filemaker Pro: Bidirectional Access to Impala from FileMaker Pro Filemaker Pro (on Mac): Bidirectional Access to Impala from FileMaker Pro (on Mac) Go: Write a Simple Go Application to work with Impala on Linux Google Apps Script: Connect to Impala Data in Google Apps Script Hibernate: Object-Relational Mapping (ORM) with Impala Entities in Java IntelliJ: Connect to Impala in IntelliJ JBoss: Connect to Impala from a Connection Pool in JBoss JDBI: Create a Data Access Object for Impala using JDBI JRuby: Connect to Impala in JRuby Mendix: Build Impala-Connected Apps in Mendix Microsoft Power Apps: Integrate Live Impala Data into Custom Business Apps Built in Power Apps NodeJS: Query Impala Data in Node.js (via Connect Cloud) NodeJS: Query Impala through ODBC in Node.js OutSystems: Create Impala-Connected Enterprise Applications in OutSystems PHP: Access Impala in PHP through the Cloud Hub PHP: Natively Connect to Impala in PHP PowerBuilder: Connect to Impala from PowerBuilder PowerShell: Pipe Impala to CSV in PowerShell PyCharm: Using the CData ODBC Driver for Impala in PyCharm Python: Connect to Impala in Python on Linux/UNIX React: Build Dynamic React Apps with Impala Data Ruby: Connect to Impala in Ruby RunMyProcess: Connect to Impala Data in RunMyProcess RunMyProcess DSEC: Connect to Impala in DigitalSuite Studio through RunMyProcess DSEC SAP UI5: Integrate Real-Time Access to Impala in SAPUI5 MVC Apps Servoy: Build Impala-Connected Apps in Servoy Spring Boot: Access Live Impala Data in Spring Boot Apps SQLAlchemy: Use SQLAlchemy ORMs to Access Impala in Python Tomcat: Configure the CData JDBC Driver for Impala in a Connection Pool in Tomcat Unqork: Create Impala-Connected Applications in Unqork VCL App (RAD Studio): Build a Simple VCL Application for Impala WebLogic: Connect to Impala from a Connection Pool in WebLogic


When Only the Best Impala Drivers Will Do

See what customers have to say about our products and support.



Frequently Asked Impala Driver Questions

Learn more about Impala drivers & connectors for data and analytics integration


Many organizations draw attention to their library of connectors. After all, data connectivity is a core capability needed for applications to maximize their business value. However, it is essential to understand exactly what you are getting when evaluating connectivity. Some vendors are happy to offer connectors that implement basic proof-of-concept level connectivity. These connectors may highlight the possibilities of working with Impala, but often only provide a fraction of capability. Finding real value from these connectors usually requires additional IT or development resources.

Unlike these POC-quality connectors, every CData Impala driver offers full-featured Impala data connectivity. The CData Impala drivers support extensive Impala integration, providing access to all of the Impala data and meta-data needed by enterprise integration or analytics projects. Each driver contains a powerful embedded SQL engine that offers applications easy and high-performance access to all Impala data. In addition, our drivers offer robust authentication and security capabilities, allowing users to connect securely across a wide range of enterprise configurations. Compare drivers and connectors to read more about some of the benefits of CData's driver connectivity.

The Impala drivers and connectors offer comprehensive access to Impala data. Our Impala driver exposes static and dynamic data and metadata, providing universal access to Impala data for any enterprise analytics or data mangement use. To explore the Impala driver data model, please review the edition-specific Impala driver documentation.

Using the CData Impala drivers and connectors, Impala can be easily integrated with almost any application. Any software or technology that can integrate with a database or connect with standards-based drivers like ODBC, JDBC, ADO.NET, etc., can use our drivers for live Impala data connectivity. Explore some of the more popular Impala data integrations online.

Additionally, since Impala supported by CData Connect Cloud, we enable all kinds of new Impala cloud integrations.

Impala Analytics and Impala Cloud BI integration is universally supported for BI and data science. In addition, CData provides native client connectors for popular analytics applications like Power BI, Tableau, and Excel that simplify Impala data integration. Additionally, native Python connectors are widely available for data science and data engineering projects that integrate seamlessly with popular tools like Pandas, SQLAlchemy, Dash, and Petl.

Impala data integration is typically enabled with CData Sync, a robust any-to-any data pipeline solution that is easy to set up, runs everywhere, and offers comprehensive enterprise-class features for data engineering. CData Sync makes it easy to replicate Impala data any database or data warehouse, and maintain parity between systems with automated incremental Impala replication. In addition, our Impala drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. The best way to integrate Impala with Excel is by using the CData Connect Cloud Excel Add-In. The Impala Excel Add-In provides easy Impala integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Impala from the easy-to-use cloud interface, and access Impala just like you would another native Excel data source.