Hive Drivers & Connectors
for Data Integration

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

ETL, Replication, & Warehousing

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

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

Workflow & Automation Tools

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

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

When Only the Best Hive Drivers Will Do

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

Frequently Asked Hive Driver Questions

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

The Hive driver acts like a bridge that facilitates communication between various applications and Hive, allowing the application to read data as if it were a relational database. The Hive driver abstracts the complexities of Hive APIs, authentication methods, and data types, making it simple for any application to connect to Hive data in real-time via standard SQL queries.

Working with a Hive Driver is different than connecting with Hive through other means. Hive API integrations require technical experience from a software developer or IT resources. Additionally, due to the constant evolution of APIs and services, once you build your integration you have to constantly maintain Hive integration code moving forward.

By comparison, our Hive Drivers offer codeless access to live Hive data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Hive data from any client application. Because our drivers conform to standard data interfaces like ODBC, JDBC, ADO.NET etc. they offer a consistent, maintenance-free interface to Hive data. We manage all of the complexities of Hive integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

If you need truly zero-maintenance integration, check out connectivity to Hive via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to Hive from any of the available Cloud Drivers and Client Applications. Connectivity to Hive is managed in the cloud, and you never have to worry about installing new drivers when Hive is updated.

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 Hive, 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 Hive driver offers full-featured Hive data connectivity. The CData Hive drivers support extensive Hive integration, providing access to all of the Hive 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 Hive 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.

With our drivers and connectors, every data source is essentially SQL-based. The CData Hive driver contains a full SQL-92 compliant engine that translates standard SQL queries into Hive API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Hive as possible. Any logic that can not be pushed to Hive is handled transparently client-side by the driver/connector engine. Ultimately, this means that Hive looks and acts exactly like a database to any client application or tool. Users can integrate live Hive connectivity with ANY software solution that can talk to a standard database.

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

Using the CData Hive drivers and connectors, Hive 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 Hive data connectivity. Explore some of the more popular Hive data integrations online.

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

Hive Analytics and Hive 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 Hive 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.

Hive 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 Hive data any database or data warehouse, and maintain parity between systems with automated incremental Hive replication. In addition, our Hive 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 Hive with Excel is by using the CData Connect Cloud Excel Add-In. The Hive Excel Add-In provides easy Hive integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Hive from the easy-to-use cloud interface, and access Hive just like you would another native Excel data source.