The Dremio Blog

By leveraging Pure Storage and Dremio together, you can optimize performance, ensure cost efficiency, and simplify data management while supporting sustainability goals. These solutions are designed to meet the challenges of today's data landscape and are equipped to adapt and thrive as those challenges evolve.

A crucial component of an Iceberg lakehouse is the catalog, which tracks your tables, making them discoverable by various tools like Dremio, Snowflake, Apache Spark, and more. Recently, a new community-driven open-source catalog named Polaris has emerged at the forefront of open-source Iceberg catalog discussions.

Apache Iceberg is a powerful data lakehouse solution with advanced features, robust performance, and broad compatibility. It addresses many of the challenges associated with traditional data lakes, providing a more efficient and reliable way to manage large datasets.

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.

While data lakes democratized data access, they also introduced challenges that hindered their usability compared to traditional systems. The advent of table formats like Apache Iceberg and catalogs like Nessie and Polaris has bridged this gap, enabling the data lakehouse architecture to combine the best of both worlds.

Dremio is the only company offering an hybrid enterprise Iceberg lakehouse that provides seamless self-service analytics, directly connecting users to their data. Dremio’s Universal Semantic Layer transforms data into a business-friendly format, enabling easy discovery and analysis.

Dremio and VAST Data’s cyber lakehouse represents a paradigm shift in collecting, managing, and analyzing data for cybersecurity insights. It offers cybersecurity professionals a powerful, scalable, and cost-efficient solution for managing and analyzing massive volumes of structured and unstructured data.

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.