Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →
Embedded Connectors
Provide users with easy access to third-party data sources directly from your platform.
With CData Embedded Connectors, software providers have maximum flexibility and control over data integrations and custom, embedded data access within their application.
Request a discovery call
The world's leading software providers power their products' potential with CData Embedded.
Unrivaled breadth and speed
Connectors have become silent deal killers. How many prospects have scanned your website and moved on, or deals been lost because of a connector you didn't have?
Add new data sources as fast as your customers need them
- Say "yes" to every customer connection request with CData's extensive library of 230+ embeddable connectors—including SaaS platforms, legacy systems, and on-premises or cloud databases and warehouses.
- Embed as many as 50 connectors in as few as two months with only one or two data engineers—a fraction of the time and resources it would take to build them in house.
- Choose the connectors that are compatible with your environment, including ODBC, JDBC, and ADO.NET.
Go from deal detractor to deal enabler.
“Within a month, we had 10 connectors up and running.”
— Chai Pydimukkala, Product Lead, Data Analytics and BigQuery Governance, Google
Unmatched depth and reliability
Product leaders sometimes underestimate the risks and limitations inherent in quick-fix, single-use connectors.
Count on your connectors for robust, enterprise-grade performance and reliability
- Handle almost any customer scenario or data request without rebuilding or reconfiguring your connector.
- Count on industrial-strength connectors, tested and embedded in the most demanding, high-volume Fortune 500 enterprise use cases and the world's leading software platforms.
- Don't compromise your connectors with third-party, open-source libraries or tools: 96% of CData drivers are 100% native IP.
Remove data access friction for your customers.
“There's strong, deep technical expertise within the CData team. It's critical for us and our reputation in the market to be able to have that sort of quality behind the scenes.”
— Allan Pym, COO, APOS Systems
Easy usage and deployment
Building and maintaining connectors pulls developers away from evolving your IP, and the resulting mess of custom code prevents you from fully exploiting technologies like AI and ML.
Make data access easy and intuitive for your developers
- Work with any data source as if it were a relational database through CData's standardized architecture and SQL-based interface.
- Integrate, preprocess, and feed data into your AI and ML tools seamlessly based on CData connectors' common code base and standardized data access.
- Trust your connectors will be deployed smoothly through CData's complete documentation, proven implementation methodology, and white-glove service.
Free your developers to create the features that set your product apart.
With CData Embedded Connectors, you can connect your products with 230+ SaaS platforms, legacy systems, and on-premises or cloud databases and warehouses sources.
- CRM
- Accounting
- ERP
- E-Commerce
- Marketing Automation
- Collaboration
- Social
- …and more
Ready to see more?
Request a demo or test out CData Embedded Connectors in your tech stack
How does it work?
Provide users with easy access to third-party data sources directly from your platform.
1. Embed connectors in your platform
- Download and embed the appropriate edition for your application:
- JDBC (Java apps)
- ODBC (C/C++ or other apps)
- ADO.NET (.NET apps)
- Python (AI/ML and data processing)
- Package and deploy the connector with your application—no external dependencies or CData-managed services required.
Your software now has built-in support for industry-standard data access.
2. Set up connection management
- Dynamically configure connection properties within your application using standardized settings.
- Enable authentication with built-in support for:
- OAuth flows (130+ sources)
- SSO providers (Okta, Azure AD)
- Kerberos (enterprise security environments)
- Basic authentication (API keys, username/password)
- Use CData's automatic token management to refresh credentials seamlessly.
Your users can now securely connect to their data sources with minimal setup.
3. Query and stream data efficiently
- Let your application query any data source using universal SQL (even if the source doesn't support SQL natively).
- Fine-tune performance automatically with:
- Pushdown query execution to minimize client-side resource usage and API throughput
- Parallel paging for high-speed data retrieval
- Streaming mode for low-memory querying of large datasets
- Support both read and write operations, including bulk inserts, updates, and deletes.
Your platform now delivers real-time, enterprise-grade data access—without extra engineering effort.
Read the FAQ to learn how Embedded Connectors work, integrate into different environments, and handle authentication, metadata, and queries.
Learn More
Ready to see more?
Request a demo or test out CData Embedded Connectors in your tech stack
