Seamlessly Integrate On-Premises Systems with Snowflake Using CData

For enterprise architects and data engineering leaders, the shift to cloud data platforms like Snowflake offers unparalleled scalability and performance. However, many organizations face a hybrid reality where critical on-premises systems must coexist with cloud environments. This creates unique challenges in integrating legacy systems, ensuring data security, and maintaining real-time access to data.

The hybrid integration challenge

Organizations across industries, particularly in healthcare, financial services, and manufacturing, often operate in hybrid environments where on-premises systems house sensitive or mission-critical data. These environments present several challenges:

1. Data silos: On-premises systems like SAP, Oracle, and custom-built applications often operate in isolation, making it difficult to unify data for analytics.
2. Security and compliance: Sensitive data must be handled with strict governance, especially in regulated industries.
3. Performance bottlenecks: Real-time access to data is critical for decision-making, but traditional integration methods often introduce latency.
4. Complexity of integration: Legacy pipelines and manual processes can be brittle, time-consuming, and prone to errors, requiring significant engineering effort to maintain.

These challenges can hinder an organization’s ability to fully leverage Snowflake’s capabilities for analytics, reporting, and advanced use cases like AI and machine learning.

How CData addresses hybrid integration challenges

CData’s Snowflake Integration Accelerator is purpose-built to address the complexities of hybrid integration. By providing no-code, enterprise-grade solutions, CData enables organizations to seamlessly connect on-premises systems with Snowflake, unlocking the full potential of their data.

Automating data pipelines for efficiency and scalability

One CData customer, a leader in manufacturing, faced significant challenges in managing diverse data pipelines from on-premises systems to Snowflake. Their legacy processes were manual and error-prone, leading to delays in reporting and analytics. By implementing CData Sync, they automated 80% of their data ingestion pipelines, reducing manual effort and enabling real-time insights. This allowed their teams to focus on strategic initiatives rather than pipeline maintenance.

CData’s metadata-aware capabilities ensured that pipelines could adapt to changing data structures without manual intervention, eliminating a major pain point for the organization.

Near-real-time data access

Another CData customer in the healthcare sector needed a solution to replicate patient data from on-premises systems into Snowflake for analytics and client delivery. Their legacy pipelines were slow and unreliable, with a 12-hour lag that made the data unsuitable for real-time use. By leveraging CData Sync, they reduced job runtimes by 91%, from 90 minutes to just 8 minutes, and enabled real-time data access for critical applications.

This transformation not only improved operational efficiency but also positioned the organization to support advanced use cases like AI-driven workflows and clinician documentation automation.

Simplifying integration with the Snowflake Integration Accelerator

CData’s Snowflake Integration Accelerator includes three purpose-built toolkits designed to address the most pressing hybrid integration challenges:

• Snowflake ingest toolkit: This toolkit accelerates data ingestion into Snowflake by 10x, with support for Iceberg Tables and change data capture (CDC). It enables organizations to integrate data from 270+ sources, including SAP, Salesforce, and Workday, with minimal effort.
• Live data access toolkit: This toolkit provides performant, real-time connectivity to Snowflake data from any application, enabling seamless integration with tools like SSAS, SSRS, and SSIS.
• Cortex AI integration toolkit: This toolkit facilitates the ingestion of structured and unstructured data for advanced analytics using Snowflake’s native Cortex LLM.

These toolkits empower organizations to unify their data ecosystems, enabling faster time-to-value and improved ROI from their Snowflake investments.

Why modern enterprises choose CData for Snowflake hybrid integration

CData stands out as the preferred choice for enterprises tackling hybrid integration challenges due to its unique capabilities:

• Native ecosystem compatibility: Direct integrations with ecosystem modules like Cortex AI, Snowflake staging and COPY INTO jobs, Microsoft Power BI, SSIS, SSAS, and more.
• Proven success with leading enterprises: Trusted by global leaders such as Johnson & Johnson, NJM Insurance, and Bausch & Lomb, with case studies demonstrating ROI improvement and operational efficiency.
• Breadth and depth of connectivity to on-premises sources: Supports on-premises data sources like DB2, SAP, and Oracle, with pre-built integration options.
• Cross-ecosystem connectivity: Offers the greatest breadth of purpose-built connectivity across ecosystems, including drivers, live connectivity, and ETL/ELT.
• Deployment flexibility and optionality: Supports hybrid access patterns in the cloud, on-premises, or directly on Azure/AWS—without requiring an on-premises agent.
• Cost predictability: Eliminates black-box pricing and concerns about escalating costs as deployments scale.

The CData Snowflake Integration Accelerator is the bridge that connects your on-premises systems to the cloud, enabling seamless data integration and real-time analytics. Ready to accelerate your hybrid integration journey? Contact us to learn more.