Accelerating AI-Ready Analytics with HPE and Dremio

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 semantic layer to deliver faster, AI-ready insights at scale .

Simplifying the Data Architecture

A modern lakehouse merges the scalability of a data lake with the performance of a warehouse. Dremio makes that possible by enabling high-speed SQL queries directly on S3-compatible storage—no data copies, no ETL.

When paired with HPE Alletra Storage MP X10000, that efficiency multiplies. The X10000’s all-flash, disaggregated, scale-out S3 design provides the low-latency backbone needed for Dremio’s query acceleration features like Reflections, columnar caching, and Apache Arrow-based execution. The result is a simpler architecture that delivers enterprise reliability and warehouse-grade speed without vendor lock-in.

Built on Open Standards, Ready for AI

Both platforms embrace open technologies—Apache Arrow, Apache Iceberg, and Polaris—to ensure long-term flexibility and interoperability. Dremio’s unified semantic layer adds rich business context and governance, allowing AI agents and humans to query the same trusted data with natural-language precision.

Customers gain:

• Zero-ETL Federation: query live data across hybrid clouds and on-premises systems.
  
• Autonomous Optimization:  Dremio continuously tunes query plans and caching for sub-second performance.
  
• Context-Rich Semantics: a governed data layer that empowers analytics tools and AI agents alike.
  

Together, Dremio and HPE enable AI-ready data. Faster to access, easier to govern, and built entirely on open standards.

Validated for Enterprise Performance

In joint solution testing, Dremio Enterprise Edition was deployed on a Kubernetes cluster powered by HPE ProLiant servers and connected directly to an HPE Alletra Storage MP X10000. The integration achieved reliable SQL analytics on large Iceberg tables with full support for filtering, joins, and complex aggregations—all without data duplication  .

The outcome:

• Stable, low-latency query performance across billions of rows
  
• Simplified scaling and management through HPE GreenLake
  
• Proven interoperability for modern, open data ecosystems

Unified Performance from Storage to Query

The Dremio–HPE solution creates a seamless path from flash storage to query execution.

At the foundation, HPE Alletra Storage MP X10000 delivers massive parallelism and ultra-low latency, with a disaggregated architecture that lets customers scale compute and capacity independently—avoiding over-provisioning while reducing total cost of ownership.

On top, Dremio’s Intelligent Lakehouse Platform harnesses Apache Arrow for in-memory columnar processing and Reflections for query acceleration, providing sub-second response times on live data without the need for copies or extracts.

Together, the stack gives enterprises warehouse-grade speed directly on object storage, with predictable performance across analytics, AI, and mixed workloads.

Efficient, Sustainable Data Operations

HPE and Dremio combine performance with simplicity.

HPE’s flash-optimized design maximizes throughput while minimizing energy consumption, and Dremio’s zero-ETL model eliminates redundant data movement—reducing both operational costs and environmental impact.

Through HPE GreenLake cloud, organizations gain a unified management layer and real-time visibility into cost and capacity, all while maintaining data-sovereignty control. This ensures compliance for regulated workloads without giving up cloud agility.

Together, the joint architecture simplifies operations, lowers power consumption, and reduces the complexity of scaling enterprise analytics environments.

Future-Ready for AI Workloads

Modern AI initiatives depend on both performance and governance.

Dremio’s semantic layer provides AI agents and LLMs with trusted, context-rich data, enabling accurate natural language querying and model grounding.

HPE Alletra Storage MP’s all-NVMe architecture delivers the sustained throughput and resilience required for AI training and inference at scale.

Built entirely on open standards—Apache Arrow, Apache Iceberg, and Polaris—the solution ensures long-term flexibility and avoids vendor lock-in. Enterprises can confidently evolve their architectures for next-generation workloads without replatforming.

The result is an AI-ready data foundation: secure, governed, and fast enough to power real-time intelligence across the business.

Learn More

Explore how Dremio and HPE deliver the Intelligent Lakehouse for AI-driven enterprises.

Read the Joint Technical paper 

About Dremio

Dremio is the Intelligent Lakehouse Platform trusted by global enterprises to connect their data with AI agents. Built on Apache Arrow, Iceberg, and Polaris, Dremio delivers autonomous optimization, a unified semantic layer, and zero-ETL federation for open, governed, and lightning-fast analytics