The Dremio Blog

We’re excited to share, in partnership with Microsoft, that Dremio is the first agentic lakehouse platform to fully support the open source Apache Arrow Database Connectivity (ADBC) driver for Power BI, bringing next-generation performance to your analytics. Whether you’re working with Dremio Cloud or Dremio Software, this enhancement is available across Power BI Desktop, Power […]

With lakeFS, you version everything: Iceberg tables, images, models, logs. With Dremio, you query and analyze it all, structured or not, at scale. Together, they bring Git-style control and interactive querying to your data lake, so you can build more intelligent, version-aware workflows without sacrificing flexibility or performance.

In this blog you will learn how to connect each tool to a REST catalog like Dremio Catalog, using bearer tokens and vended credentials to keep your pipelines secure and portable.

Dremio has introduced several capabilities that inteliigently improve query performance across the data lakehouse. With minimal to no action from users, Dremio will reduce query latency, handle data maintenance tasks, and eliminate redundant compute jobs. This article is a summary of three of these performance management features. Read on to learn how reflections accelerate popular […]

The Intelligent Lakehouse for the Agentic AI Era Data teams today face a familiar challenge: how to unlock value from ever-growing, scattered data without the delays and cost of traditional ETL pipelines. Together, HPE Alletra Storage MP X10000 and Dremio’s Intelligent Lakehouse Platform solve this problem—combining HPE’s flash-optimized performance with Dremio’s open, unified query and […]

You can move unstructured content into Iceberg tables with AI functions. You can use Dremio’s integrated AI agent for natural language exploration. You can connect external assistants through MCP to build multi-step workflows. All these pieces work together. They give data teams a clear path from raw information to AI-powered insights that stay accurate and trustworthy.

Key Takeaways Built for the Dremio Community Transform Studio for Dremio, is a free and open source pipeline builder and data quality tool built for the Dremio community. Whether you run Dremio Cloud or a self-hosted deployment, Transform Studio gives analysts and data engineers a visual workspace to build transformation pipelines, monitor data quality, and […]

Dremio Next Gen Cloud represents a major leap forward in making the data lakehouse experience seamless, powerful, and accessible. Whether you're just beginning your lakehouse journey or modernizing a complex data environment, Dremio gives you the tools to work faster and smarter—with native Apache Iceberg support, AI-powered features, and a fully integrated catalog. From federated queries across diverse sources to autonomous performance tuning, Dremio abstracts away the operational headaches so you can focus on delivering insights. And with built-in AI capabilities, you're not just managing data—you’re unlocking its full potential.

We’re excited to announce Dremio Cloud, The Agentic Lakehouse—the lakehouse built for agents and managed by agents. This milestone marks a major leap forward in Dremio’s evolution, reimagining the modern lakehouse for the agentic era, where intelligent systems collaborate with humans to deliver insights, automate operations, and continuously optimize performance. As organizations accelerate their AI […]

Many data engineers and data analysts spend much of their day in Visual Studio (VS) Code, writing SQL, testing queries, and working with data. Constantly switching between tools disrupts productivity and the user work flow. The VS Code extension for Dremio brings the power of the agentic lakehouse directly into your development environment, enabling you […]

Organizations cannot implement AI quickly when data is fragmented across systems, ungoverned, and lacks the business context AI needs to deliver accurate results. Teams juggle schema knowledge, joins, query tuning, visualization tools, and governance checks before they can answer even a simple business question. With Dremio's Agentic Lakehouse—the only data platform built for agents and […]

The rapid growth of the use of AI throughout the modern data stack has transformed how organizations extract insights from their data. With our latest release, we're excited to announce the general availability of AI Functions — a capability that brings the power of Large Language Models (LLMs) directly into SQL execution, making Dremio’s Agentic […]

Discover how Dremio’s Next Generation Cloud and enterprise MCP Server simplify data exploration with AI-driven queries, governance, and natural-language SQL.

Dremio is always striving to abstract away the physical concerns of data, whether the storage location, partitioning schema, or file size optimisation. Thanks to features such as Data Federation, Iceberg Clustering, and Autonomous Performance functionalities, Dremio users get highly-performant access to their data no matter where it lives.  One of the components that delivers this […]

AI data management is the practice of preparing, organizing, governing, and serving enterprise data so it can be used effectively by AI models and agents. It includes collecting data from multiple systems, maintaining high data quality, enforcing governance, and delivering fast, consistent access to that data for training and inference.