The Dremio Blog

For decades, the traditional data experience has been defined by friction, with business teams frequently required to wait. Waiting for SQL experts to draft queries, waiting for ETL pipelines to refresh, and waiting for static dashboards to render. This reactive model has gone past being just a bottleneck and now represents an existential risk for […]

The Apache Iceberg community recently finalised a new File Format API, scheduled for the upcoming 1.11.0 release. It is a strategic architectural shift that decouples the object model from the physical storage layout. The aim? To make file formats engine-agnostic, so Apache Iceberg can integrate with new formats without rewriting the core engine logic every […]

How data architects can close the gap between the AI mandate and the infrastructure that actually delivers it If you are a data architect right now, you are likely operating under some version of the same executive mandate: implement AI, and do it fast. The pressure is real. So is the gap between what leadership […]

Today we're making it super simple to use Claude, Claude Cowork, and Claude Code with Dremio.  The new Claude connector for Dremio Cloud lets anyone instantly connect Anthropic's Claude to their lakehouse.  

The Data Crisis Crippling Financial Services Most financial institutions today face the same bottleneck: fragmented, slow, and costly data systems that cripple the adoption of AI. Analysts wait hours for risk reports. Data engineers spend most of their time tuning queries instead of innovating. And autonomous AI agents hit performance walls and data inconsistencies that […]

Across Europe, organizations are modernizing analytics and AI while tightening requirements around data control, jurisdiction, and operational accountability. What customers are increasingly seeking is straightforward: the flexibility of open architectures, the speed needed for modern workloads, and the confidence that their service operations, support, and contracting align with European expectations. Today, I’m excited to share […]

Most enterprise AI projects fail at the same place. Not the model. Not the infrastructure. The data. Specifically: the AI doesn't understand the data well enough to act on it accurately, and it can't reach most of the data anyway. These two problems compound each other. A model that can only see 30% of your […]

Data engineering teams are often defined by the gap between a business question and a verified answer. Requests languish in backlogs while engineering teams struggle with ETL pipelines and the technical debt of siloed warehouses. When reports finally arrive, the data is frequently stale, leading to debating the accuracy of the numbers rather than the […]

Dremio is a commercial platform, and we’re straightforward about that. But the standards and projects that power it are genuinely open, and Dremio has been an active contributor to building them, not just consuming them. Apache Arrow, Apache Iceberg, and Apache Polaris all have Dremio fingerprints on their design, specification, and governance. That work matters […]

The data lakehouse market has moved past the “is this real?” phase. According to Forrester’s The Data Lakehouses Landscape, Q1 2026, lakehouses are now the default architectural choice for modern analytics and AI workloads, driven by the need to simplify data architectures, control costs, and support modern analytics and AI workloads. For technology leaders navigating […]

Explore the factors that impact the average cost of a data warehouse, learn pricing models, and discover strategies to optimize your annual spend.

Explore the top data lakehouse solutions for 2026 and discover why Dremio is the best option for users who need cost-efficient, enterprise-grade performance.

Last week I published a blog about some of the risks to consider when implementing Agentic AI in your workflows or organisation. But what about the other side of that coin, the benefits this revolutionary technology can bring about? Read on to learn several of the ways that Agentic AI is transforming how we work […]

Agentic AI offers several compelling benefits that are transforming how we work and solve problems. The key difference from traditional AI is agency, the agent’s ability to plan, use tools, take actions in sequence, and work toward goals rather than just responding to individual prompts. There are many upsides to embracing AI agents in your […]

Large Language Models (LLMs) are capable of understanding and generating language. However, they do not understand or process language in the same way that a person like you or I does.  When reading text, humans construct meaning by processing the syntax of each sentence as it unfolds. This involves combining word definitions, using context from […]