Spark drivers & connectors for data integration
Connect to live Apache Spark from BI, analytics, and reporting tools through bi-directional data drivers. Maps SQL to Spark SQL Easily integrate Spark data with BI, reporting, analytics, ETL tools, and custom solutions.
Spark data integration
Access Spark 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 Spark 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 Spark Connectors
Trusted by Spark 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 Spark Connectivity Get full access to your Spark data wherever you need it. CData is the undisputed leader in Spark connectivity providing the most comprehensive access to live Spark 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 Spark our products reduce development costs and timelines, slash architectural complexity.
Blazing data access Our Spark 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 Spark 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 Spark. 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
Spark data for AI agents and assistants
Spark MCP server connectivity for AI
Enable AI agents, assistants, and workflows to access Spark data to improve output, tailoring responses to your actual business data and reducing hallucinations.
- One MCP connection from Spark 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
Spark connectivity for BI & analytics
Live Spark access for analytics
Access Spark data in all of the systems you use every day, including BI & analytics tools, databases, data warehouses, and custom apps.
- Connect Spark (and any other data source) to your favorite analytics, automation, or data management app without moving data
- Bi-directional Spark connectivity through common data endpoints
- Enable Spark governability and data privacy with user-level permissioning at the source level.
Data Warehousing
Spark ETL, replication, & data warehousing
Automate Spark data replication
CData Sync automatically replicates data from hundreds of on-premises and cloud data sources — like Spark— to any modern database, data lake, or data warehouse.
- Create automated Spark 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 Spark 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 Spark 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 Spark with no-code
Spark 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 Spark 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 Spark 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 Spark.
- 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 Spark data
Data virtualization tools helps organizations achieve better data access, more agile decision-making, and greater efficiency in managing data across diverse systems.
Integrating Spark 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 Spark data in spreadsheets
Work with live Spark data seamlessly in Excel and Google Sheets:
- Always work with live Spark 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 Spark records right from your spreadsheet
FAQs
Frequently asked Spark integration questions
Common questions about Spark drivers & connectors for data and analytics integration
- How does the Spark Driver work?
- How is using the Spark Driver different than connecting to the Spark API?
- How is a Spark Driver different than a Spark connector?
- Is Spark SQL based?
- What data can I access with the Spark driver?
- What does Spark integrate with?
- How can I enable Spark Analytics?
- How can I support Spark Data Integration?
- Does Spark Integrate with Excel?
Additional Spark connectivity resources
Technical articles
Using the Spark drivers
- Apache Spark SQL Integration Guides and Tutorials
- Connecting Pipedream with Spark Data via CData Connect AI MCP Server
- Use Agno to Talk to Your Spark Data via CData Connect AI
- Connect to Spark Data in HULFT Integrate
- Build Voice Agents in ElevenLabs with access to Live Spark Data
- Analyze Spark Data in R via JDBC
- DataBind Controls to Spark Data in C++Builder
- How to use SQLAlchemy ORM to access Spark Data in Python
- A PostgreSQL Interface for Spark Data using the CData ODBC Driver
Blog
Related blog articles
- Hadoop vs Spark: Which is Best?
- Understand Apache Spark ETL & Integrate it with CData’s Solutions
- Databricks vs Google BigQuery: 6 Main Differences Between These Two Cloud Data Warehouses
- Apache Iceberg vs. Delta Lake: 7 Crucial Differences & Which Should You Choose?
- Azure Synapse vs Azure SQL DB: 8 Crucial Differences
- The Power of Data Wrangling in Modern Data Analysis
- Extend Databricks Connectivity with the CData JDBC Drivers
- What Is Databricks Used For? 6 Use Cases
- No-Code Databricks Ingest – In One-Tenth the Time and Less Than Half the Cost
- Open Delta Tables: A Stronger Foundation for Fabric and Databricks
