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Pentaho Releases Significant Updates to Pentaho Data Catalog

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Pentaho has announced major updates to its Pentaho Data Catalog, enhancing data governance, quality, and observability capabilities. The platform, used by 73% of Fortune 100 companies, introduces features to help organizations better manage data for AI initiatives. Key enhancements include an improved Data Marketplace experience, stronger security integrations with Okta and Active Directory, data product creation capabilities, and enhanced ML features for data classification. The update focuses on helping organizations achieve data fitness for AI operations while maintaining governance and trust. Pentaho has received industry recognition, being named a Major Player in the IDC MarketScape 2024 assessment and winning awards from BigDATAwire and Data Breakthrough Awards.
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Positive

  • Platform is widely adopted, being used by 73% of Fortune 100 companies
  • Enhanced security features through Okta and Active Directory integrations
  • Improved automation and ML capabilities for data classification
  • Recognition as Major Player in IDC MarketScape 2024 assessment
  • Multiple industry awards and recognitions in 2024

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-0.80% News Effect

On the day this news was published, HTHIY declined 0.80%, reflecting a mild negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Pentaho's Enhanced Governance, Quality and Observability Capabilities Meet Growing Customer Demand for Automation and Visibility Around Core Operations and AI Efforts

SANTA CLARA, Calif., June 10, 2025 /PRNewswire/ --  Pentaho, an industry leading data intelligence and integration platform utilized by 73% of the Fortune 100, today announced significant enhancements to Pentaho Data Catalog, designed to help organizations achieve the data fitness needed for the AI age by increasing quality, observability and trust in data.

The new enhancements to Pentaho Data Catalog expand the capacity of customers like FirstBank and Lightbox to better understand and organize their data, observe how that data is being used, and use automation to improve its quality, governance, and trust. Building upon Pentaho's 20-year legacy as a category leader in data management, Pentaho's continued innovation is helping customers achieve foundational, AI-ready data intelligence while avoiding the heavy infrastructure burdens and slow time to value of competing solutions.

"The need for strong data foundations has never been higher, and customers are looking for help across a whole range of issues. They want to improve the organization of data for operations and AI. They need better visibility into the "what and where" of data's lifecycle for quality, trust, and regulations. And they want to leverage automation to scale management with data while also increasing time to value," said Kunju Kashalikar, Product Management, Pentaho. "The latest enhancements to our catalog strike at the heart of these issues. We're excited to bring this continued innovation to our customers and look forward to helping them on their journey to data fitness."

Pentaho Data Catalog – Policy Improvements, AI Model Management and Data Products

The latest updates to Pentaho Data Catalog extend key capabilities that are becoming more critical in an increasingly complex data landscape being overtaken by AI and regulations.

  • An enhanced Data Marketplace experience enables executives, business users and data scientists to more easily find curated and trusted data sets for daily and strategic efforts.
    • Deeper integrations with Okta and Active Directory improve policy access and security measures, important when guard railing data's use in AI models.
    • Creation of data products with prescribed quality and sensitivity characteristics.
    • Data delivery to data points of use including Python IDE, ML Test and Deployment tools.
  • Integration with model development for model governance increases visibility into how and where models are accessing data for both appropriate use and proactive governance.
  • ML enhancements for data classification, including unstructured data, improve the ability to automate and scale how data is managed for expanding data ecosystems.
  • Enhancements to data optimization and re-tiering for structured and unstructured data support the use cases of archiving, migration, and policy driven lifecycle management.

While customers such as the State of Arizona are benefiting from the solution's robust automation, policy, governance and classification capabilities, Pentaho Data Catalog has also been receiving significant industry attention. Pentaho was named a Major Player in the IDC MarketScape: Worldwide Data Intelligence Platform Software 2024 Vendor Assessment (doc # US51467224, November 2024), along with being recognized recently by  BigDATAwire (Pentaho Data Catalog - 2024 Reader's Choice, Best Big Data Product: Data Catalog /Security /Governance) and the Data Breakthrough Awards (Pentaho Data Catalog - Data Catalog Solution of the Year).

About Pentaho
Trusted by more than 73% of the Fortune 100, Pentaho is an independent business unit of Hitachi, Ltd (TSE:6501) that helps businesses become data-fit and AI-ready so they can innovate quickly and operate with confidence. Pentaho simplifies data chaos in a rapidly changing data and regulatory landscape through its leading data intelligence and integration platform, which streamlines data discovery, availability, governance, and insights. Learn more at www.pentaho.com.

About Hitachi Vantara
Hitachi Vantara is transforming the way data fuels innovation. A wholly owned subsidiary of Hitachi Ltd., Hitachi Vantara provides the data foundation the world's leading innovators rely on. Through data storage, infrastructure systems, cloud management and digital expertise, the company helps customers build the foundation for sustainable business growth. To learn more, visit www.hitachivantara.com.

About Hitachi, Ltd.
Hitachi drives Social Innovation Business, creating a sustainable society through the use of data and technology. We solve customers' and society's challenges with Lumada solutions leveraging IT, OT (Operational Technology) and products. Hitachi operates under the 3 business sectors of "Digital Systems & Services" – supporting our customers' digital transformation; "Green Energy & Mobility" – contributing to a decarbonized society through energy and railway systems, and "Connective Industries" – connecting products through digital technology to provide solutions in various industries. Driven by Digital, Green, and Innovation, we aim for growth through co-creation with our customers. The company's revenues as 3 sectors for fiscal year 2023 (ended March 31, 2024) totaled 8,564.3 billion yen, with 573 consolidated subsidiaries and approximately 270,000 employees worldwide. For more information on Hitachi, please visit the company's website at https://www.hitachi.com.

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SOURCE Hitachi Vantara

FAQ

What are the main updates to Pentaho Data Catalog in 2025?

The main updates include enhanced Data Marketplace experience, deeper integrations with Okta and Active Directory, data product creation capabilities, ML enhancements for data classification, and improved data optimization features.

How many Fortune 100 companies use Pentaho's data intelligence platform?

73% of Fortune 100 companies utilize Pentaho's data intelligence and integration platform.

What recent industry recognitions has Pentaho received?

Pentaho was named a Major Player in the IDC MarketScape 2024 assessment, won BigDATAwire's 2024 Reader's Choice for Best Big Data Product, and received the Data Breakthrough Award for Data Catalog Solution of the Year.

What security improvements were made to Pentaho Data Catalog?

The platform now features deeper integrations with Okta and Active Directory to improve policy access and security measures, particularly important for securing data use in AI models.

How does Pentaho Data Catalog support AI initiatives?

It supports AI initiatives through improved data organization, automated data classification, model governance features, and integration with model development to increase visibility into how models access data.
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