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.
Hive data integration
Access Hive data in all of the systems you use every day, including BI & analytics tools, databases, data warehouses, and custom apps. Customers commonly use CData's Hive connectivity to:
- Provide a logical data layer of abstraction that shields users from the complexity of data access and integration.
- Get blazing-fast access to data for BI, reporting, and data integration with highly optimized read/write performance.
- Securely explore tables, columns, keys, data, and full meta-data based on user identity.
Try CData Hive Connectors
Trusted by Hive users worldwide
Office Depot Leverages CData to 'Lift and Shift' Critical Data and Enable Analytics Integration
Office Depot IT Architect
Belden Supports Growing Marketing Requests by Centralizing Data Access in the Cloud
Belden D&A IT Supervisor
Logi Analytics Brings Real-Time Data to Analytics Dashboards for SaaS
VP of Product & Development for Logi Analytics
The CData difference
Our standards-based approach to connectivity streamlines data access and insulates usrs from the complexities of integrating BigQuery data.
Unparalleled Hive Connectivity Get full access to your Hive data wherever you need it. CData is the undisputed leader in Hive connectivity providing the most comprehensive access to live Hive data anywhere. Thousands of customers and hundreds of leading data ISVs rely on our connectivity to make the most of their data.
Fastest time to value Reduce development cycles and accelerating the overall time to market. Our pre-built, optimized connectors eliminate the need for complex custom development, allowing for fast, secure access to Workday data.
Unbeatable price-performance By standardizing and streamlining how systems interact with Hive our products reduce development costs and timelines, slash architectural complexity.
Blazing data access Our Hive connectivity is fast— really fast. In fact, over twice as fast as other solutions. Our engineers have optimized our drivers for maximum performance all the way down to the socket level, delivering truly exceptional data access.
Future-proof integration We continuously test against changes in the Hive APIs & protocols used to connect, preventing downtime in your data and analytics processes.
Enterprise-class technical support CData is dedicated to helping you find success with Hive. We work as an extension of your team to help solve your toughest data challenges. Thousands of customers and hundreds of ISVs rely on our services to make the most of their data.
AI Integrations
Hive data for AI agents and assistants
Hive MCP server connectivity for AI
Enable AI agents, assistants, and workflows to access Hive data to improve output, tailoring responses to your actual business data and reducing hallucinations.
- One MCP connection from Hive to every AI agent, assistant, copilot, or LLM that could use it.
- Maintain security and user permissions with pass-through user-based access and read/write controls
- Platform solution to control and monitor user access via AI across your organization.
BI & Analytics
Hive connectivity for BI & analytics
Live Hive access for analytics
Access Hive data in all of the systems you use every day, including BI & analytics tools, databases, data warehouses, and custom apps.
- Connect Hive (and any other data source) to your favorite analytics, automation, or data management app without moving data
- Bi-directional Hive connectivity through common data endpoints
- Enable Hive governability and data privacy with user-level permissioning at the source level.
Data Warehousing
Hive ETL, replication, & data warehousing
Automate Hive data replication
CData Sync automatically replicates data from hundreds of on-premises and cloud data sources — like Hive— to any modern database, data lake, or data warehouse.
- Create automated Hive data flows in minutes with point-and-click data replication
- Facilitate reporting, business intelligence, and analytics for decision support
- Archive data for disaster recovery
Data Management
Consolidate Hive data management
Data management integration enables organizations to better manage their human resources data, optimize decision-making, and ensure compliance with data governance policies. Technologies like ODBC, JDBC, and ADO easily connect with all kinds of popular data management applications.
Connect Hive to data management systems to:
- Provide a single, accurate source of truth for employee and resource data.
- Ensure consistency, data quality, and integration across systems.
- Improve data discoverability, governance, and compliance, allowing for easy tracking, auditing, and efficient data use across the organization.
No Code
Connect to Hive with no-code
Hive is often at the center of a wide range of repetitive tasks. With low-code/no-code tools, users can automate these tasks reducing manual effort and errors.
- Customize Hive and integrate it with other systems (like CRM, HR, or accounting software) without writing complex code.
- Create custom dashboards, reports, or data visualizations by integrating Hive data with other systems.
Custom Apps
Build fully-integrated custom applications
From custom AI and analytics to performance managemement and learning platforms, developers are leveraging our drivers to power all kinds of real-time integrations with Hive.
- Pragmatic API Integration: from SDKs to Data Drivers
- Data APIs: Gateway to Data Driven Operation & Digital Transformation
Embedding CData Connectivity
Data Virtualization
Virtualize access to Hive data
Data virtualization tools helps organizations achieve better data access, more agile decision-making, and greater efficiency in managing data across diverse systems.
Integrating Hive with data virtualization tools allows organizations to combine this data with other sources like ERP systems, CRM platforms, or financial databases without physically moving or duplicating data. This unified access enables faster, more efficient decision-making.
Spreadsheets
Connect to live Hive data in spreadsheets
Work with live Hive data seamlessly in Excel and Google Sheets:
- Always work with live Hive data— no more downloading, copying, and pasting
- Filter and get just the attributes and data you actually need
- Refresh data with a click or set a schedule
- Update Hive records right from your spreadsheet
FAQs
Frequently asked Hive integration questions
Common questions about Hive drivers & connectors for data and analytics integration
- How does the Hive Driver work?
- How is using the Hive Driver different than connecting to the Hive API?
- How is a Hive Driver different than a Hive connector?
- Is Hive SQL based?
- What data can I access with the Hive driver?
- What does Hive integrate with?
- How can I enable Hive Analytics?
- How can I support Hive Data Integration?
- Does Hive Integrate with Excel?
Additional Hive connectivity resources
Technical articles
Using the Hive drivers
- Apache Hive Integration Guides and Tutorials
- How to Connect to Live Hive Data from Google ADK Agents (via CData Connect AI)
- Access Live Hive Data in Emergent via CData Connect AI
- Use the CData Software JDBC Driver for Hive in MicroStrategy Desktop
- Integrating Boomi Agentstudio with Hive Data via CData Connect AI
- Use Dash to Build Web Apps on Hive Data via CData Connect AI
- Enable the Hive JDBC Driver in KNIME
- Access Live Hive Data in Excel (Desktop) through Connect Spreadsheets
- How to connect to Hive Data in DBVisualizer
Blog
Related blog articles
- 2018 Driver Update
- HBase vs. Cassandra: NoSQL Databases Compared
- Types of Databases & When to Use Each One
- Hadoop vs Spark: Which is Best?
- Extending Real-Time Connectivity in Power BI
- How to Choose the Right Database for Data Analytics
- Efficient Data Processing and Analytics with Apache Hive
- Apache Iceberg: What It Is, How It Works, Architecture, Benefits & Use Cases
- Key Takeaways from Tableau Conference 2024
- Don't Let Slow Performance Freeze Your Snowflake Integrations
