The Dremio Blog

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.

Integrating Snowflake with the Dremio Lakehouse Platform offers a powerful combination that addresses some of the most pressing challenges in data management today. By unifying siloed data, optimizing analytics costs, enabling self-service capabilities, and avoiding vendor lock-in, Dremio complements and extends the value of your Snowflake data warehouse.

Platforms like Dremio facilitate this hybrid approach by connecting to various data sources and utilizing the Apache Iceberg format, ensuring that your data is always accessible and performant, regardless of where it resides. Whether you are looking to optimize costs, enhance performance, or achieve greater agility, a hybrid data lakehouse could be the perfect solution for your data needs.

Apache Iceberg's open and extensible design empowers users to achieve optimized query performance while maintaining flexibility and compatibility with a wide range of tools and platforms. Iceberg is indispensable in modern data architectures, driving efficiency, scalability, and cost-effectiveness for data-driven organizations.

For businesses seeking a competitive edge, Dremio's superior query performance, self-service experience, cost effectiveness, flexibility and developer-friendliness make it the clear choice over Denodo. While Denodo has its merits, the complexity and hidden costs can hinder an organization's ability to maximize data's value fully.

For Snowflake users, incorporating Dremio and Apache Iceberg means unifying disparate data sources and achieving unprecedented data acceleration and efficiency. These tools create a powerful, integrated platform for advanced data analytics and AI, making them an invaluable addition to any data strategy.

Dremio's approach removes primary roadblocks to virtualization at scale while maintaining all the governance, agility, and integration benefits.