CData Expands Google Cloud Collaboration to Enhance Data Connectivity

/ AI, Cloud, Enterprise Software, Machine Learning
CData Expands Google Cloud Collaboration to Enhance Data Connectivity

The News:

CData Software has announced an expanded partnership with Google Cloud, enhancing data access capabilities for Google Cloud users. This collaboration enables seamless integration with various external data sources, simplifying connectivity for enterprises leveraging Google Cloud services. To read more, visit the official announcement here.

Analysis:

As enterprises increasingly adopt multi-cloud and hybrid data environments, the demand for seamless data access across diverse sources has intensified. CData’s expanded partnership with Google Cloud aims to bridge these gaps, offering organizations a scalable and efficient way to integrate and utilize data within Google Cloud ecosystems.

Key Enhancements in the CData-Google Cloud Partnership

  1. Embedded Data Connectivity:
    • CData’s pre-built connectors now extend deeper into Google Cloud, providing real-time access to SaaS applications, NoSQL databases, and legacy systems.
    • Supports multiple data connectivity standards, including ODBC, JDBC, and ADO.NET.
  2. Accelerating Data-Driven Initiatives:
    • CData’s solutions simplify ETL, ELT, and reverse ETL processes, ensuring faster time-to-value for data analytics and AI workloads.
    • Google Cloud users can now natively access CData’s 300+ data connectors, enhancing integration with applications and data platforms.
  3. Strengthening Google Cloud’s Data Ecosystem:
    • Enables businesses to unify data from various sources into Google Cloud, improving insights and decision-making.
    • Reduces the complexity of managing disparate data environments while enhancing security and compliance.

The CData-Google Cloud partnership enhances data connectivity and accelerates data-driven development, addressing key challenges developers face when integrating diverse data sources into their applications. With real-time access to SaaS applications, NoSQL databases, and legacy systems, developers no longer need to spend time building custom API integrations. This is critical, reports indicate that 80% of enterprises struggle with data integration complexity, slowing down application development and AI adoption.

Supporting ODBC, JDBC, and ADO.NET, this partnership ensures seamless integration into various programming environments, including Python, Java, and .NET. A research report highlights that developers spend up to 40% of their time on data wrangling and integration, emphasizing the value of standardized, pre-built connectors in reducing this burden. Additionally, CData simplifies ETL, ELT, and reverse ETL processes, making it easier to move and transform data for analytics and AI workloads. According to research, 90% of enterprises struggle with fragmented data, leading to slow insights and decision-making. Faster, automated ETL tools improve AI performance and analytics readiness, allowing developers to focus on innovation rather than data logistics.

Google Cloud users now have native access to 300+ data connectors, significantly reducing integration barriers. A McKinsey study found that organizations leveraging cloud-based data platforms see a 30-50% improvement in decision-making speed, underscoring the importance of unified data access. Additionally, reducing the complexity of managing disparate data environments ensures better security and compliance—a significant concern for enterprises. According to IBM’s Cost of a Data Breach report, organizations with fragmented data management face 20% higher breach costs, reinforcing the need for secure, unified cloud ecosystems.

Ultimately, this partnership empowers developers by removing data silos, accelerating AI and analytics workflows, and simplifying cloud-based data integration. With pre-built connectors and real-time access, developers can focus on building applications instead of managing data pipelines—leading to faster innovation and more intelligent solutions.

Industry Recognition and Market Momentum

CData’s recent inclusion in the 2024 Gartner Magic Quadrant for Data Integration highlights its growing influence in the connectivity market. With $350 million in recent growth capital, CData is well-positioned to lead innovation in enterprise data integration.

Looking Ahead:

As cloud adoption accelerates, businesses require flexible and scalable connectivity solutions. CData’s continued investment in embedded connectivity and AI-driven integrations will play a key role in shaping the future of enterprise data access.

CData’s Role in Driving Seamless Data Integration

With this expanded Google Cloud partnership, CData reinforces its leadership in enabling frictionless data movement across modern cloud environments. Future developments will likely include deeper AI integrations, expanded support for industry-specific data sources, and enhanced security features to meet evolving enterprise needs.

Authors

  • 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.

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  • Bringing more than a decade of varying experience crossing multiple sectors such as legal, financial, and tech, Sam Weston is an accomplished professional that excels in ensuring success across various industries. Currently, Sam serves as an Industry Analyst at Efficiently Connected where she collaborates closely in the areas of application modernization, DevOps, storage, and infrastructure. With a keen eye for research, Sam produces valuable insights and custom content to support strategic initiatives and enhance market understanding. Rooted in the fields of tech, law, finance operations and marketing, Sam provides a unique viewpoint to her position, fostering innovation and delivering impactful solutions within the industry. Sam holds a Bachelor of Science degree in Management Information Systems and Business Analytics from Colorado State University and is passionate about leveraging her diverse skill set to drive growth and empower clients to succeed.

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