CData & Ellie.ai Partner to Enhance Data Connectivity for Enterprise Data Modeling

/ AI, Automation, Data Analytics, Enterprise Software
CData & Ellie.ai Partner to Enhance Data Connectivity for Enterprise Data Modeling

The News: 

CData Software and Ellie.ai have announced a strategic partnership to enhance data connectivity for enterprise data modeling. By embedding CData’s cloud-based connectivity solutions into the Ellie.ai platform, users gain seamless access to over 160 data sources, improving real-time data modeling and integration. To read more, visit the official announcement here.

Analysis:

Data teams require faster, more efficient access to live data for modeling and analytics. Traditional data integration methods often introduce complexity and bottlenecks. This partnership eliminates those barriers by integrating CData’s connectivity capabilities directly into Ellie.ai’s AI-assisted data modeling platform.

Key Benefits of the Partnership

  1. Expanded Data Connectivity:
    • Ellie users can now connect with over 160+ data sources, including major SaaS applications and cloud platforms.
    • Enables real-time integration with diverse data systems for improved model accuracy.
  2. Accelerated Data Modeling:
    • Direct access to live data facilitates faster iteration and refinement of enterprise data models.
    • AI-assisted modeling reduces the manual effort required to structure and analyze datasets.
  3. Reduced Complexity for Data Teams:
    • No-code integration streamlines workflows, allowing teams to focus on data strategy rather than connectivity challenges.
    • Harmonized metadata layer standardizes data access across various platforms.
  4. Enhanced AI-Augmented Data Collaboration:
    • Ellie.ai’s business intelligence capabilities are strengthened by CData’s unified metadata layer.
    • Simplifies data discovery and collaboration across IT and business teams.

For the developer community, this partnership addresses key challenges in modern application development by improving data accessibility, reducing integration complexity, and accelerating AI-driven insights. Industry data highlights the critical need for these capabilities:

  • Broader Data Access – Developers can now connect to 160+ data sources, eliminating the need for custom integrations. According to the industry, data integration complexity is one of the top barriers to digital transformation, with over 80% of organizations struggling to unify their data across hybrid and multi-cloud environments.
  • Real-Time Data Modeling – With live connections to source systems, developers can design and refine data models in real time. A study shows that organizations leveraging real-time data see a 20-30% improvement in decision-making speed, which is critical for AI-driven applications and dynamic business needs.
  • Simplified Integration – No-code integration removes technical bottlenecks, allowing developers to focus on application innovation rather than backend data wrangling. Research found that 70% of enterprises have adopted low-code/no-code platforms to accelerate development and reduce IT backlog, underscoring the demand for simplified workflows.
  • Accelerated Development with AI – Ellie’s AI-assisted features streamline data discovery and modeling, reducing manual effort. According to McKinsey, AI-powered development tools can boost developer productivity by up to 50%, enabling faster iteration and deployment of AI-driven applications.

This partnership empowers developers to build more intelligent, scalable, and data-driven applications faster and with fewer roadblocks by reducing friction in data integration and enabling AI-powered insights.

Market Impact and Growth

This partnership reinforces Ellie.ai’s mission to reduce failure rates in data projects by improving collaboration and clarity between IT and business users. By leveraging CData’s connectivity infrastructure, Ellie customers can accelerate their time-to-market for data-driven insights.

Looking Ahead:

As organizations increasingly prioritize AI-driven decision-making, seamless access to diverse data sources will become essential. The CData-Ellie.ai partnership paves the way for more automated, intelligent data modeling solutions.

CData’s Expanding Role in the Data Ecosystem

With growing demand for integrated data solutions, CData continues solidifying its position as a leader in enterprise connectivity. Expect further collaborations that enhance interoperability across data platforms, ensuring enterprises can extract maximum value from their data assets.

Author

  • Paul Nashawaty, Practice Leader and Lead Principal Analyst, specializes in application modernization across build, release and operations. With a wealth of expertise in digital transformation initiatives spanning front-end and back-end systems, he also possesses comprehensive knowledge of the underlying infrastructure ecosystem crucial for supporting modernization endeavors. With over 25 years of experience, Paul has a proven track record in implementing effective go-to-market strategies, including the identification of new market channels, the growth and cultivation of partner ecosystems, and the successful execution of strategic plans resulting in positive business outcomes for his clients.

    View all posts