Pentaho 11 is here. See what’s new in our most advanced release yet. Read the blog →
When ISG calls your platform “Exemplary,” it means something’s working. Pentaho earned top honors for delivering smart simplicity — integrating, governing, and optimizing enterprise data so businesses can run leaner, faster, and more intelligently.
It’s always satisfying as a product leader when your team’s efforts are recognized in the wider marketplace. And although a business is ultimately measured by sales and happy customers, when third parties validate that your products deliver important capabilities, it’s a sign that you’re on the right path to delivering real value to customers today and in the future.
That’s why we were thrilled to receive the news that Pentaho was recognized as Exemplary across multiple categories in the recently released 2025 ISG Buyers Guide™ for Data Management and the 2025 ISG Buyers Guide™ DataOps. The research, developed by Information Services Group (ISG), places Pentaho “Exemplary” in multiple Buyers Guides, including Data Governance, Data Observability, Data Products, Data Intelligence, Data Orchestration, Data Integration, Data Management, and Data Quality.
As the data landscape continues to evolve, Pentaho is committed to delivering solutions that help organizations unlock the full potential of their data – whether for operational efficiency, regulatory compliance, or AI-driven transformation. This recognition is a strong sign that we are meeting that commitment.
We know that organizations are increasingly looking for platforms that combine a unique mix of capabilities, usability, and value. Pentaho is helping them achieve this by simplifying data management for both traditional challenges and emerging AI workloads, enabling them to become more data-fit and future-ready. Customers can start with any of our individual products and expand or combine multiple offerings from Pentaho to deliver AI ready data.
Pentaho’s recognition in the guides comes at a time when enterprises are under pressure to modernize their data strategies while managing cost, complexity, and compliance. The platform’s strengths in automation, data quality monitoring, and AI-enhanced orchestration have positioned it as a go-to solution for companies seeking to optimize their data operations.
For more information on the research, you can read here: 2025 Buyers Guides for Data Management – ISG Software Research. Learn more about Pentaho here or book a meeting with one of our team.
Author
View All Articles
Featured
Simplifying Complex Data Workloads for Core Operations and...
Creating Data Operational Excellence: Combining Services + Technology...
Top Authors
Mauro Damo
Tim Tilson
Sandeep Prakash
Jon Hanson
Richard Tyrrell
Categories
Pentaho Data Optimizer helps Databricks users reduce cloud storage and compute costs by identifying ROT data, automating tiering and remediation, and ensuring the right data stays fast, trusted, and aligned with business value.
Learn More
What is Data Storage Optimization and Why Is it So Valuable Now? Data storage optimization maximizes the value of data by increasing efficiency, cost-effectiveness, and performance of enterprise data storage. Organizations are generating gigabytes of data every hour, while budgets remain fixed or even decreased. This creates budget and management stress for data storage professionals, […]
From record hail and flood losses to rising cyber threats and regulatory scrutiny, DACH insurers are under pressure from every angle. Pentaho helps carriers cut through data silos, automate compliance, and orchestrate real-time workflows so they can protect margins, customers, and trust when storms hit hardest.
2025 saw a fundamental and permanent mindset shift to embrace the need for data-fit foundations that will help organizations of all sizes drive success with AI in 2026.
In an era defined by climate risk, regulatory scrutiny, and AI accountability, resilience begins with verifiable truth. Pentaho helps insurers build governed “Golden Sources”, unified, auditable datasets with embedded controls, lineage, and explainability, so every claim, policy, and model stands on trusted data.