The Dremio Blog

Dremio's latest version sets a new standard in the overall performance for lakehouse platforms. This release underscores Dremio's commitment to providing the most high performance Iceberg lakehouse platform, positioning it as the market's premier lakehouse analytics platform. Reflection Enhancements  A Reflection In Dremio, is an optimized relational cache that takes advantage of the platform's advanced […]

In today's data-driven world, organizations are increasingly dealing with diverse data environments, encompassing cloud, multi-cloud, on-premises, and hybrid. Efficiently managing and querying data across these varied landscapes can be challenging, particularly when it comes to access control and workload management. Dremio has introduced significant improvements in query federation capabilities, simplifying data access and ensuring robust […]

Dremio continues to innovate and enhance the capabilities of Data Lakehouse environments with its latest feature, Auto Ingest Pipelines for Iceberg tables. This cutting-edge functionality for both Dremio Enterprise Software and Dremio Cloud changes the way organizations handle data ingestion from Amazon S3 into Iceberg tables in  Lakehouse environments. What is Automatic Iceberg Data Ingestion? […]

As organizations continue to navigate the complexities of modern data environments, Dremio’s self-service capabilities offer a clear path forward, allowing businesses to unlock the full value of their data assets while maintaining control and governance. With Dremio, the future of self-service analytics is not just achievable—it’s within reach.

By implementing Dremio, you can transform your existing data lakes into efficient, high-performing, and easily manageable data lakehouses. Whether you aim to modernize your infrastructure, facilitate seamless migrations, or create a hybrid data environment, Dremio provides the tools and capabilities to achieve your business goals.

Data source connections significantly impact the efficiency of your analytics workflows. Whether you're performing complex statistical analyses, building predictive models, or creating dashboards, your connection type influences your speed to insight. There are four main connection types: JDBC, ODBC, REST, and Arrow Flight. Understanding each helps you optimize your data pipelines for more effective analytics.

We're excited to announce enhancements to data branching that make data engineering workflows safer and more flexible!

While both Dremio and Starburst Data offer  tools for data management and analytics, Dremio's superior performance, self service capabilities, user-friendly design, and robust DataOps functionality make it the clear winner. Dremio is the choice  for companies looking to drive business value and insight with a next generation lakehouse solution.

A data flow design for modern data analytics. The medallion architecture empowers data analysts to access trusted data, collaborate with colleagues, and uncover invaluable insights quickly and efficiently. Analysts can unlock the full potential of their organization's data and drive informed decision-making by understanding the distinct layers of the data lakehouse and its role in unifying data analytics.

The demand for flexible and fast data-driven decision-making is critical for modern business strategy. Semantic layers are designed to bridge the gap between complex data structures and business-friendly terminology, enabling self-service analytics. However, traditional approaches often struggle to meet performance and flexibility demands for today’s business insights. This is where a data lakehouse-powered semantic layer […]

By unifying data sources, simplifying governance, providing an intuitive UI, and supporting flexible data access methods, Dremio empowers users to independently explore and analyze data.

By leveraging these technologies, Dremio ensures that the Unified Apache Iceberg Lakehouse provides top-notch performance while keeping costs low. This combination allows organizations to unify their data, minimize data movements, and achieve high performance without breaking the bank.

Dremio offers a versatile and powerful platform for data sharing, whether through integrating with existing data marketplaces, providing shared compute resources, or enabling independent data access via catalogs. By leveraging these capabilities, you can maximize the value of your data, streamline collaboration, and create new opportunities for revenue and partnerships. Dremio’s comprehensive approach to data sharing ensures that you can meet your organization’s needs while maintaining control and governance over your data assets.

Auto Ingest Pipes is here to meet that need with a suite of unique features that set a new standard in data ingestion technology.

The Unified Apache Iceberg Lakehouse, powered by Dremio, offers a compelling solution for unified analytics. By connecting to a wide range of data sources and minimizing data movement, you can achieve faster, more efficient analytics, improve AI model training, and enhance data enrichment processes. Dremio's advanced processing capabilities and performance features make it a standout choice for any organization looking to unify and accelerate their data analytics platform.