Home
News
Tech Grid
Data & Analytics
Data Processing Data Management Analytics Data Infrastructure Data Integration & ETL Data Governance & Quality Business Intelligence DataOps Data Lakes & Warehouses Data Quality Data Engineering Big Data
Enterprise Tech
Digital Transformation Enterprise Solutions Collaboration & Communication Low-Code/No-Code Automation IT Compliance & Governance Innovation Enterprise AI Data Management HR
Cybersecurity
Risk & Compliance Data Security Identity & Access Management Application Security Threat Detection & Incident Response Threat Intelligence AI Cloud Security Network Security Endpoint Security Edge AI
AI
Ethical AI Agentic AI Enterprise AI AI Assistants Innovation Generative AI Computer Vision Deep Learning Machine Learning Robotics & Automation LLMs Document Intelligence Business Intelligence Low-Code/No-Code Edge AI Automation NLP AI Cloud
Cloud
Cloud AI Cloud Migration Cloud Security Cloud Native Hybrid & Multicloud Cloud Architecture Edge Computing
IT & Networking
IT Automation Network Monitoring & Management IT Support & Service Management IT Infrastructure & Ops IT Compliance & Governance Hardware & Devices Virtualization End-User Computing Storage & Backup
Human Resource Technology Agentic AI Robotics & Automation Innovation Enterprise AI AI Assistants Enterprise Solutions Generative AI Regulatory & Compliance Network Security Collaboration & Communication Business Intelligence Leadership Artificial Intelligence Cloud
Finance
Insurance Investment Banking Financial Services Security Payments & Wallets Decentralized Finance Blockchain
HR
Talent Acquisition Workforce Management AI HCM HR Cloud Learning & Development Payroll & Benefits HR Analytics HR Automation Employee Experience Employee Wellness
Marketing
AI Customer Engagement Advertising Email Marketing CRM Customer Experience Data Management Sales Content Management Marketing Automation Digital Marketing Supply Chain Management Communications Business Intelligence Digital Experience SEO/SEM Digital Transformation Marketing Cloud Content Marketing E-commerce
Consumer Tech
Smart Home Technology Home Appliances Consumer Health AI
Interviews
Think Stack
Press Releases
Articles
Resources
  • Data Integration & ETL

CData Launches No-Code Snowflake Integration Accelerator


CData Launches No-Code Snowflake Integration Accelerator
  • Source: Source Logo
  • |
  • June 19, 2025

CData Software has introduced the CData Snowflake Integration Accelerator on June 2, 2025, a no-code solution designed to streamline enterprise data integration into Snowflake’s Data Cloud. This tool reduces data pipeline build times by up to 90%, enabling organizations to accelerate insights and maximize ROI from their Snowflake investments.

Quick Intel

  • CData unveils Snowflake Integration Accelerator for faster data integration.

  • Reduces data pipeline build times by up to 90% with no-code tools.

  • Supports over 270 data sources, including APIs, databases, and SaaS platforms.

  • Enables live connectivity for Snowflake data across enterprise applications.

  • Powers AI-driven workflows with Cortex AI Integration Toolkit.

  • Empower Services cut job runtimes by 91% using the solution.

Simplifying Complex Data Integration

The CData Snowflake Integration Accelerator tackles the challenges of integrating diverse enterprise systems into Snowflake, addressing complexities in traditional ETL processes across hybrid and multi-cloud environments. “Snowflake is transforming how organizations manage and analyze data, but the complexity of integrating enterprise data in hybrid and multi-cloud environments can slow down time-to-value,” said Manish Patel, Chief Product Officer, CData. The solution offers no-code ingestion, transformations, and live connectivity, with flexible deployment and volume-independent pricing.

Comprehensive Toolkits for Snowflake

The Accelerator includes three specialized toolkits to optimize data workflows:

  • Snowflake Ingestion Toolkit: Speeds up data ingestion by 10x, supporting over 270 sources like APIs and SaaS platforms via no-code Change Data Capture (CDC). It integrates with Snowflake external tables, Iceberg Tables, and staging for seamless data flow.

  • Live Snowflake Data Access Toolkit: Provides standards-based connectivity to Snowflake from applications like Microsoft SSAS, SSRS, SSIS, and Salesforce Lightning Connect, ensuring real-time data access across ecosystems.

  • Cortex AI Integration Toolkit: Enables AI-ready data pipelines for Snowflake Cortex AI, supporting real-time processing and programmatic orchestration for advanced analytics and agentic models.

Real-World Impact

Empower Services, a healthcare analytics provider, transformed its data pipelines using the Accelerator. “What I really appreciate about CData is how it pushes through table creation and eliminates so much of the manual work I had to do with SSIS and Talend. It’s just a better, faster solution,” said Ken Carter, Senior Director of Data and Analytics at Empower Services. The company reduced job runtimes by 91%, from 90 minutes to 8 minutes, and eliminated manual table mapping, enabling AI-driven applications like Streamlit and Cortex AI for clinician documentation.

Driving Enterprise Value

By simplifying data integration, the CData Snowflake Integration Accelerator empowers organizations to unlock Snowflake’s full potential. Its no-code approach, extensive source connectivity, and AI-ready capabilities position it as a game-changer for enterprises seeking faster insights and operational efficiency in complex data environments.

 

About CData Software

CData Software is a leading provider of data access and connectivity solutions. Our self-service data products and connectivity solutions provide universal access to live data from hundreds of popular on-premises and cloud applications. Millions of users worldwide rely on CData to enable advanced analytics, boost cloud adoption, and create a more connected business. Consumable by any user, accessible within any application, and built for all enterprises, CData is redefining data-driven business.

News Disclaimer
  • Share