#USA #Chapel Hill #CData Software #Ellie.ai #Data Modeling

Strategic Partnership to Enhance Data Connectivity

In a significant move for enterprise data teams, Ellie.ai, the pioneering AI-assisted data modeling platform, has forged a strategic alliance with CData Software, a prominent name in data connectivity solutions. Announced on February 19, 2025, this partnership aims to revolutionize how businesses access and integrate data for more efficient modeling and analytics.

Expanded Data Access for Ellie.ai Users
Through this collaboration, users of Ellie.ai will now benefit from integrated access to CData's expansive library of data connectivity services, directly embedded within the Ellie platform. This enhancement provides seamless connectivity to over 160 data sources, including popular SaaS applications and cloud platforms. This broadens the potential for companies to design data products and analytical solutions with greater agility and depth.

Ellie.ai—a Game Changer in Data Modeling
Ellie.ai is not merely a data platform but a collaborative design space enabling teams to document and iterate on data models with ease. The introduction of CData’s data connectors simplifies the integration process, allowing teams to focus more on innovation rather than get bogged down by IT complexities. With real-time data connections, teams can now refine their models more swiftly and create data products that evolve with business needs.

Key Benefits of the CData and Ellie.ai Partnership
1. Expanded Data Connectivity: With access to over 160 additional data sources, Ellie customers can effortlessly integrate with key platforms, fostering a more unified data strategy.
2. Accelerated Data Modeling: Direct access to live data empowers users to design and refine their models dynamically, improving responsiveness to changing business environments.
3. Reduced Complexity: Leveraging no-code integrations streamlines workflows, significantly lessening IT-induced bottlenecks.
4. Seamless User Experience: The AI-driven capabilities of Ellie.ai, combined with direct data access, optimize data discovery and support enhanced modeling processes.

Voices of the Leaders
Sami Hero, CEO of Ellie.ai, emphasized the transformative potential of this partnership, stating, "We’re revolutionizing the way IT and business teams collaborate in data product development. With CData’s robust connectors, we can drastically reduce the common failure rates in data projects and promote clarity and efficiency throughout the modeling process."

Manish Patel, Chief Product Officer at CData, remarked, "By integrating our connectors into Ellie.ai’s platform, we shift the responsibility of building and maintaining data integrations, allowing Ellie’s team to concentrate on innovation. This will empower users to construct and scale their enterprise data models more effectively, clearing the path to valuable insights."

Conclusion and Availability
The integration of CData’s tools within Ellie.ai is now accessible to all existing customers. As enterprises increasingly seek to harness their data for competitive advantage, this partnership stands to redefine their data strategies, paving the way for innovative products that deliver real business value. For further information about this partnership and its offerings, visit ellie.ai.

About CData Software
CData Software specializes in data access and connectivity solutions. With a focus on providing universal access to live data from hundreds of applications, CData helps businesses leverage their data in an increasingly complex landscape. Recognized by millions including organizations like Salesforce and Holiday Inn, CData is instrumental in fostering data-driven decision-making across industries.

About Ellie.ai
Ellie.ai spearheads innovation in AI-augmented data product design. Streamlining the confirmation of business needs against data products, Ellie.ai ensures high-value outcomes for enterprises across various sectors, including healthcare and telecommunications. The platform’s intuitive workflows validate data initiatives before tackling intricate data pipeline constructions.