The Dremio Blog

As 2024 comes to a close, it’s clear that this year has been remarkable for the data lakehouse and the growing momentum driving its adoption. In this blog, I’ll reflect on some of the most exciting developments in the data lakehouse space, focusing on the new possibilities unlocked by tools like Apache Iceberg and Dremio.

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.

In today’s data-driven world, businesses face the constant challenge of managing and analyzing data across various environments—cloud, on-premises, and hybrid. With our latest release of Dremio 25.1, we continue to innovate and deliver features that enhance performance, streamline data ingestion, and improve federated query access. This release introduces improvements that collectively drive better performance, efficiency, […]

The Dremio Unified Analytics Platform for Analytics and AI hosted our 6th Annual Subsurface Live event this week - the only event dedicated to Lakehouse learning. We are excited to share a few of the exciting announcements, developments, and new capabilities! Dremio for Every Environment Dremio has always been the most flexible lakehouse deployment, with […]

At Dremio, we uphold trust and transparency as paramount values in all our interactions with customers, partners, employees, and the general public. With these principles in mind, we feel it's crucial to alert you to a concerning trend involving fraudulent job offers falsely attributed to Dremio and its affiliated entities. Scammers are exploiting our name, […]

Dremio Cloud on Microsoft Azure brings your users closer to the data with lakehouse flexibility, scalability, and performance at a fraction of the cost of traditional data warehouses. With the availability of Dremio Cloud on Azure, companies can now take full advantage of a next-generation analytical architecture that eliminates traditional software management pain and drives […]

Subsurface provides an excellent opportunity to learn more about the Data Lakehouse space. Still, for fans of Apache Iceberg, there will be a lot of content to keep you learning and interested. Register for Subsurface today.

this is a product release announcement regarding new ingestion capabilities for Apache Iceberg. Customers can now use COPY INTO to get data in parquet format into Iceberg tables.

Dremio's Data and Analytics Predictions for 2024: data lakehouse adoption, the rise of Apache Iceberg, DataOps, Data Mesh and Generative AI

Dremio has released a new version of the Dremio vectorized Parquet reader that will improve query performance on Parquet datasets encoded with the Parquet V2 encodings by up to 75%

Unveiling Dremio Cloud on Azure, a Fast, Scalable and Secure Lakehouse Platform Introduction Today we introduce Dremio Cloud on Azure, newly landing on Azure in November 2023, in public preview. Dremio Cloud is a powerful lakehouse platform providing streamlined self-service, unparalleled SQL performance, centralized data governance and seamless lakehouse management. In this blog post, we […]

The Dremio Unified Analytics Platform brings your users closer to the data with lakehouse flexibility, scalability and performance at a fraction of the cost.  We're excited to show you some new things we've been working on to help you analyze your data faster and easier than ever, no matter where it's stored. We’ve launched AI-powered […]

Dremio, the easy and open lakehouse, delivers analytics at the lowest cost.

Dremio Arctic bring new features to Dremio Cloud, including Apache Iceberg table optimization and Data as Code.

With its capabilities in on-prem to cloud migration, data warehouse offload, data virtualization, upgrading data lakes and lakehouses, and building customer-facing analytics applications, Dremio provides the tools and functionalities to streamline operations and unlock the full potential of data assets.