The Dremio Blog

For enterprises ready to build a flexible, scalable, and governed data mesh, Dremio provides the ideal platform. By enabling efficient data access, documentation, and governance, Dremio ensures that every team has the tools to make data-driven decisions without compromise.

Dremio is a top choice among data virtualization tools thanks to its unique combination of high-performance capabilities, such as Apache Arrow, Reflections, and advanced query optimization features.

. With Dremio’s advanced metadata management, organizations can harness the full potential of their Iceberg Data Lakehouse, creating a scalable, high-performance environment that meets the demands of modern data-driven enterprises.

Through live and incremental reflection updates, Dremio enables real-time access to data in Iceberg lakehouses, ensuring fresh data for decision-making while minimizing resource consumption. Reflection hints offer a unique way to maintain data availability, even for sources that may be unreliable or resource-intensive, enhancing business continuity and user experience.

Organizations need tools that seamlessly integrate, manage, and discover data across different platforms. That’s why we’re excited to introduce the Dremio Software OCF Connector, developed by Alation. This new connector makes it easy to catalog your Dremio assets within Alation, helping teams efficiently discover, govern, and collaborate around their data.  What is the Dremio Connector […]

Finding the right platform to support and enhance Iceberg Lakehouse architecture is crucial. Dremio emerges as a must-have partner for any Iceberg journey, helping you overcome the common challenges of data migration, performance optimization, and operational complexity. By combining robust data virtualization, cost-effective infrastructure, and an integrated catalog with advanced DataOps capabilities, Dremio allows you to make the most of Iceberg’s potential while maintaining a streamlined, user-friendly data environment.

Modern organizations face a common challenge: efficiently analyzing massive datasets stored in data lakes while maintaining performance, cost-effectiveness, and ease of use. The Dremio Architecture Guide provides a comprehensive look at how Dremio's innovative approach solves these challenges through its unified lakehouse platform. Let's explore the key architectural components that make Dremio a transformative solution for modern data analytics.

Modern organizations are increasingly reliant on data to drive innovation, optimize operations, and gain a competitive edge. However, extracting meaningful insights from the ever-growing volume of data presents a significant challenge. Despite substantial investments in data infrastructure and specialized teams, many organizations struggle to make their data readily accessible and actionable for decision-making. The traditional centralized approach to data management, while offering control and standardization, often leads to bottlenecks, delays, and frustrated data consumers. This, in turn, can hinder agility, stifle innovation, and ultimately impact the bottom line.

Dremio’s integration with Unity Catalog and Hive/HDFS empowers organizations to harness the full potential of their hybrid data environments. By simplifying access, accelerating queries, and providing a robust platform for data curation, Dremio helps organizations build a unified, high-performance data architecture that supports faster, more informed business decisions.

In summary, Dremio’s platform bridges the cloud and on-prem data divide, providing a unified, high-performance solution for hybrid data analytics. By combining the strengths of Polaris and Hive/HDFS in a single environment, organizations can gain a deeper understanding of their data, drive operational efficiencies, and deliver real-time insights that support strategic growth.

The data landscape is evolving at an unprecedented pace, and organizations are constantly seeking ways to maximize the value of their data while maintaining flexibility and control. Dremio 25.2 rises to meet these needs by expanding its support for lakehouse catalogs and metastores across all deployment models: on-premise, cloud, and hybrid. This release makes Dremio […]

The beauty of Iceberg REST Spec is that it provides a stable interoperability interface for Iceberg clients. For Dremio users, this means that they can get access to Iceberg data where it lives rather than having to build and maintain complex ETL pipelines which increase governance challenges, data latency and operational overhead. To further our […]

Learn more about Apache Polaris by downloading a free early release copy of Apache Polaris: The Definitive Guide along with learning about Dremio's Enterprise Catalog powered by Apache Polaris. Analysts demand tools that offer fast, flexible, and scalable access to data. Interoperability between data platforms is crucial to enable seamless data exploration and querying, without […]

We’re excited to bring the Dremio Lakehouse Catalog for Apache Iceberg into Dremio Software!

With the introduction of full dark mode, Dremio is continuing its trend toward offering users more customization and control over their experience. Whether you prefer a light, bright workspace or a darker, more subdued environment, Dremio now provides the flexibility to match your personal workflow and preferences.