The Dremio Blog

Confluent’s TableFlow and Apache Iceberg unlock a powerful synergy: the ability to stream data from Kafka into open, queryable tables with zero manual pipelines. With Dremio, you can instantly access and analyze this real-time data without having to move or copy it—accelerating insights, reducing ETL complexity, and embracing the power of open lakehouse architecture.

With Confluent Tableflow and Dremio, businesses can query real-time and historical data together in an open lakehouse architecture providing insights at the speed of operational data.

Hadoop modernization on AWS with Dremio represents a significant leap forward for organizations looking to leverage their data more effectively. By migrating to a cloud-native architecture, decoupling storage and compute, and enabling self-service data access, businesses can unlock the full potential of their data while minimizing costs and operational complexity.

Organizations need tools that seamlessly integrate, manage, and discover data across different platforms. That’s why we’re excited to introduce the Dremio Software OCF Connector, developed by Alation. This new connector makes it easy to catalog your Dremio assets within Alation, helping teams efficiently discover, govern, and collaborate around their data.  What is the Dremio Connector […]

In summary, Dremio’s platform bridges the cloud and on-prem data divide, providing a unified, high-performance solution for hybrid data analytics. By combining the strengths of Polaris and Hive/HDFS in a single environment, organizations can gain a deeper understanding of their data, drive operational efficiencies, and deliver real-time insights that support strategic growth.

Dremio’s unique ability to support cross-environment queries and accelerate them with reflections enables businesses to leverage a true lakehouse architecture, where data can be stored in the most suitable environment — whether on-premises or in the cloud — and accessed seamlessly through Dremio.

Catalog versioning with Nessie and code versioning with dbt both serve distinct but complementary purposes. While catalog versioning ensures the integrity and traceability of your data, code versioning ensures the collaborative, flexible development of the SQL code that transforms your data into actionable insights. Using both techniques in tandem provides a robust framework for managing data operations and handling inevitable changes in your data landscape.

The combination of dbt and Dremio creates a powerful, agile data transformation pipeline. With dbt’s ability to standardize and automate transformations, and Dremio’s unified data platform optimizing and accelerating queries, organizations can unlock the full potential of their data.

Tools like Dremio are critical for breaking down data silos and providing real-time access to valuable insights. By simplifying data integration and making it actionable, these capabilities empower teams to make data-driven decisions and collaborate more effectively, ultimately delivering superior customer experiences and driving growth.

By integrating GitHub Actions into your dbt and Dremio workflows, you’ve unlocked a powerful, automated CI/CD pipeline for managing and version-controlling your semantic layer.

Integrating Monte Carlo with Dremio’s Unified Lakehouse Platform provides a robust framework for implementing advanced data observability practices in a data lakehouse environment. By leveraging this powerful combination, organizations can significantly improve their data reliability, catch issues early, and maintain the integrity of their data assets.

The integration of Dremio and NetApp provides a powerful solution for organizations looking to modernize their Hadoop environments and unlock the full potential of their data. Whether your goal is to improve query performance, simplify data management, or reduce costs, Dremio and NetApp offer the tools you need to succeed.

Modernizing a Hadoop data lake with Dremio and MinIO brings substantial advantages to organizations seeking to enhance their data infrastructure. This transformation not only resolves the performance, scalability, and cost challenges associated with traditional Hadoop environments but also empowers businesses to achieve greater agility and efficiency. By leveraging Dremio's advanced analytics capabilities and MinIO's scalable storage, companies can modernize their data lakes to meet the demands of today's fast-paced, data-driven world. The result is a robust, flexible, and cost-effective data environment that accelerates time to market and drives business innovation.

The Dremio and NetApp partnership represents a significant advancement in data management and analytics. By integrating NetApp StorageGRID with Dremio's data lakehouse platform, organizations can achieve unparalleled performance, scalability, and efficiency in their data operations. This powerful combination empowers enterprises to unlock the full potential of their data, driving innovation and growth in today's competitive landscape.

Whether you're dealing with massive datasets, complex data environments, or the need for real-time analytics, the MinIO and Dremio hybrid lakehouse provides the perfect solution. It's an investment in future-proofing your data infrastructure, driving innovation, and unlocking new business opportunities. Make the smart choice today and transform your data strategy with MinIO and Dremio.