Explore this interactive demo and see how Dremio's Intelligent Lakehouse enables Agentic AI
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 delve into the distinctive functionalities that mark the launch of Dremio Cloud on Azure, paving the way for streamlined, high-performance data analytics.
Dremio Cloud on Azure brings a host of unique features designed to address the complex data analytics needs of modern organizations. Let's explore the key aspects that set Dremio Cloud apart and showcase its functionality.
Simplify data lake management, reducing time and effort. Dremio’s Data Catalog automates necessary but tedious tasks required to deliver high performance analytics. Automated compaction and indexing enable faster queries, and table cleanup identifies and removes unused files in the data lake.
Dremio Cloud on Azure is engineered for speed, offering lightning-fast data analytics that empower organizations to derive insights in real-time. The platform delivers rapid query performance, ensuring that users can interact with and analyze data waiting for minutes or hours.
Built on a scalable architecture, Dremio Cloud accommodates growing workloads. Dremio Cloud provides the flexibility to scale up or down, ensuring optimal performance and resource utilization.
Leveraging the power of Microsoft Azure, Dremio Cloud ensures seamless integration with the Azure ecosystem. Users can create their Dremio Cloud environment directly from the Azure portal or CLI, and manage the environment fully within Dremio Cloud.
Organizations can now explore and analyze data in real-time, enabling faster decision-making and a more responsive approach to changing business requirements.
Dremio Cloud on Azure allows organizations to conduct agile and cost-efficient analytics, unleashing the full potential of cloud-based data management. Users can also visualize and query their exact DCU (Dremio Consumption Unit) costs to ensure that they are not overspending.
As Dremio Cloud makes its debut on Azure, it brings a new era of efficiency, speed, and scalability to cloud-based lakehouses. Organizations can enable enhanced data exploration and analytics, leveraging the capabilities of Dremio Cloud’s SQL Lakehouse on Azure to further their analytics journey. Discover a future where data analytics is not just a necessity but a strategic advantage - welcome to the world of Dremio Cloud on Azure.
Try out Dremio Cloud today at https://www.dremio.com/sign-up/.
Deploy agentic analytics directly on Apache Iceberg data with no pipelines and no added overhead.
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.
Dremio Arctic bring new features to Dremio Cloud, including Apache Iceberg table optimization and Data as Code.
At Dremio, we have spent the last few years developing not only query execution improvements but also game-changing autonomous data optimization capabilities. Dremio is by far and away the fastest lakehouse. The capabilities deliver 20x faster query performance compared to other platforms, without requiring any manual actions.
