Informatica Brings Native Integration of Governance Suite to Google Cloud Platform

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Informatica Brings Native Integration of Governance Suite to Google Cloud Platform

Informatica recently announced an expanded partnership with Google Cloud, making its Cloud Data Governance and Catalog (CDGC) suite natively accessible on the Google Cloud platform.

Additionally, the CDGC suite is now listed on the Google Cloud Marketplace.

Powered by Informatica's Intelligent Data Management Cloud, an AI-driven platform for integrating and preparing data, the CDGC suite offers tools for governing, classifying, discovering, indexing, and measuring data. By making CDGC natively available on Google Cloud, Informatica aims to simplify integration, improve performance, and enhance security, leveraging Google Cloud’s built-in features. Stephen Catanzano, an analyst at Informa TechTarget, highlighted the benefits of this native availability, including reduced operational complexity and streamlined adoption via the Google Cloud Marketplace.

Informatica, headquartered in Redwood City, California, has long been a leader in data management, providing platforms to prepare data for analytics and AI-driven insights. This enhanced partnership with Google Cloud aligns with Informatica’s focus on advancing analytics and AI by offering accessible tools for data governance and cataloging, thereby fostering greater trust in the data used for developing applications. Informatica has established similar partnerships with AWS and Microsoft Azure, enabling native integrations on those platforms as well.

Using reliable data is critical for developing effective analytics and AI tools. Without trustworthy data, the results of analytics and AI models cannot be relied upon. However, trusted, complete, and accurate data inspires confidence in users, leading to informed decision-making and broader adoption of AI applications.

Tools like data governance frameworks and data catalogs play a vital role in ensuring data trustworthiness. Governance frameworks establish policies for proper data use, while catalogs provide searchable indexes of datasets, reports, dashboards, and AI-powered applications. By simplifying access to these capabilities on Google Cloud, Informatica helps its customers streamline the development and delivery of trusted data, Catanzano noted.

Native integration not only reduces complexity but also accelerates analytics and AI initiatives while aligning closely with Google Cloud's native tools. This integration benefits joint customers significantly, enabling better outcomes through tighter alignment and enhanced efficiency.

While beneficial, Informatica’s native integration with Google Cloud is not unique. For instance, Collibra integrates with Snowflake, and Alation has a close partnership with Databricks. However, Kevin Petrie, an analyst at BARC U.S., emphasized that Informatica’s integration fills a critical gap for Google Cloud customers, whose cataloging capabilities lag in areas like connectivity, AI support, and search functionality. Informatica’s strengths in these areas provide a cross-platform solution for managing metadata across cloud and on-premises environments, making this partnership a significant win for both companies.

Petrie also noted that the partnership helps Google Cloud address its customers' need for cross-platform cataloging and gives Informatica access to Google’s extensive user base.

The partnership expansion reflects Informatica’s strategy of ensuring its full suite of data management services is natively integrated with its cloud partners' tools, according to Rik Tamm-Daniels, VP of strategic ecosystems at Informatica. This move not only benefits existing Google Cloud customers but also attracts new users through the Google Cloud Marketplace.

Looking ahead to 2025, Informatica plans to enhance its product suite by incorporating more AI-driven features, such as advanced data lineage capabilities. Petrie suggested that as enterprises increasingly focus on AI development, Informatica should prioritize preparing unstructured data—such as text and images—which now constitutes over 80% of all data. Optimizing unstructured data is critical for training AI models to better understand organizational operations.

Informatica has already demonstrated success in managing and governing structured data, a foundation for analytics initiatives. As enterprises adopt AI, particularly generative AI, the need for tools to govern and deliver unstructured data will grow.

Informatica’s October 2024 blueprints for AI development reflect its commitment to this direction. Catanzano further recommended investments in prebuilt AI models, deeper integrations with Google’s Vertex AI platform, and enhanced automation for data preparation. Expanding self-service AI tools and educational resources could further accelerate AI adoption and development.

This partnership positions Informatica and Google Cloud to support customers in advancing analytics and AI capabilities while fostering innovation and operational efficiency.

Global Healthcare PDM Software Market: Size, Share, and Key Players Analysis

According to Market Research Intellect, the global Healthcare Provider Data Management (PDM) Software market is projected to grow significantly, with a compound annual growth rate (CAGR) of 12.82% between 2024 and 2031. Valued at $9.79 billion in 2024, the market is expected to reach approximately $20.19 billion by 2031, reflecting the increasing demand for PDM software across diverse sectors.

The Healthcare Provider Data Management Software market is experiencing rapid growth due to the rising need for efficient data management and adherence to regulatory standards. As healthcare providers strive to optimize operations, reduce administrative expenses, and enhance patient care, the adoption of PDM software has accelerated. Advanced technologies like AI, machine learning, and cloud-based solutions have further expanded opportunities within the market. The focus on interoperability and robust data security is prompting providers to invest in comprehensive PDM systems. Additionally, the growing volume of healthcare data and the demand for accurate provider information for reimbursement and credentialing are key factors driving market growth. Government initiatives supporting digitization and standardization in healthcare data systems also play a significant role in fostering this expansion. These trends are expected to persist as organizations prioritize operational efficiency and informed decision-making through enhanced data management.

The dynamics of the Healthcare Provider Data Management Software market are influenced by the changing needs of the healthcare sector and technological progress. Major drivers include the increasing necessity for reliable data management solutions to tackle challenges in provider credentialing, compliance, and billing. The adoption of cloud-based platforms and AI-powered analytics is transforming the way healthcare providers handle and leverage data. However, obstacles such as high initial implementation costs and concerns over data security could slow adoption, particularly among smaller organizations. Regulatory requirements are also shaping the development of PDM systems, emphasizing interoperability and data privacy. Competition among market leaders is driving innovation, and partnerships and acquisitions are expanding market reach. As the healthcare landscape evolves, stakeholders continue to focus on improving operational efficiency and meeting the complex demands of modern healthcare environments.

Cloudian and Hammerspace Partner to Simplify Unstructured Data Across Edge, Core, and Cloud

Hammerspace, a leader in orchestrating the next phase of data management, has partnered with Cloudian, a prominent provider of S3-compatible object storage solutions, to offer an advanced solution for handling unstructured data at scale. This collaboration merges Hammerspace's parallel file system performance and global data orchestration capabilities with Cloudian's exabyte-scale HyperStore object storage, empowering enterprises to efficiently manage, protect, and derive value from vast unstructured data sets.

Unstructured data, which now constitutes 90% of all generated data, is growing at an exponential rate, posing significant challenges for enterprises due to its scale and complexity. The integration of Hammerspace's high-performance data orchestration with Cloudian's secure, scalable storage platform allows organizations to unify data across edge, core, and cloud environments into a single global namespace. This streamlined approach simplifies the management and accessibility of unstructured data while supporting demanding applications like AI training, high-performance computing (HPC), and analytics.

"This partnership with Cloudian revolutionizes the way enterprises manage and utilize unstructured data," said Molly Presley, Senior Vice President of Marketing at Hammerspace. "Together, we are helping organizations break down data silos, unify their ecosystems, and unlock the potential of their data for transformative initiatives like AI and analytics."

Jon Toor, Chief Marketing Officer at Cloudian, echoed this sentiment: "We are thrilled to collaborate with Hammerspace to deliver a solution that offers unparalleled performance, scalability, and ease of use. This partnership equips enterprises to tackle the challenges of rapid data growth and accelerate their digital transformation initiatives."

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