Dremio provides the fastest SQL engine with the best price-performance for Apache Iceberg

In today’s data-driven world, organizations are accumulating vast amounts of data, which presents a significant challenge in extracting insights and making informed decisions. Traditional data warehouses and lakes are often slow, cumbersome, and inflexible, making it difficult to achieve fast analytic insights. This is where Dremio comes in – an open and easy-to-use data lakehouse that provides self-service SQL analytics, data warehouse performance, and functionality, as well as data lake flexibility across all your data.

Completely Open Data, No Lock-In

Dremio’s open data lakehouse architecture is based on community-driven standards like Apache Parquet, Apache Iceberg, and Apache Arrow. This enables organizations to use best-in-class processing engines and eliminates vendor lock-in, ensuring maximum flexibility and control.

Comprehensive Support for Apache Iceberg

Apache Iceberg is the most broadly supported open table standard, with read/write support in Dremio Sonar and other popular engines. With 2x the contributions of Delta Lake, Apache Iceberg is the go-to standard for open table storage. This comprehensive support for Apache Iceberg enables organizations to seamlessly integrate their data with other open-source technologies.

Co-creators of Apache Arrow

Dremio is also the co-creator of Apache Arrow, a widely adopted in-memory data representation that enables high-performance queries and seamless data sharing across platforms. Apache Arrow is downloaded 70 million times per month, making it a widely adopted standard in the industry.

Unify and Activate Your Data for Fast Analytic Insights

Dremio delivers streamlined self-service analytics for all users, making it easy to move from data to insight. With Dremio, you can drive business insight and innovation by putting all of your data to work. By providing a unified access layer for governed self-service analytics, Dremio empowers organizations to make data-driven decisions faster and more efficiently.

The Lakehouse Query Engine: Optimized for High Performance and Efficiency

Dremio’s Lakehouse Query Engine is optimized for high performance and efficiency, allowing you to execute queries directly on your data lake and across all your data sources without moving data. This ensures a seamless end-user experience with transparent query optimization and acceleration.

Optimized Price Performance for Every Query

Dremio’s multi-engine architecture enables sophisticated workload management, allowing you to create multiple right-sized, physically isolated engines for various workloads in your organization. This ensures performance predictability and makes it easy to manage critical SLAs.

Up to 100x Faster Performance with Reflections Query Acceleration

Dremio’s Reflections query acceleration technology uses algebraic matching to accelerate entire or partial queries. This technology is completely transparent to data users and can attain near-instantaneous query performance.

Hadoop Migration: Improve Performance, Reduce Costs, and Deliver Unified Self-Service Analytics

Many organizations have found that Hadoop is slow, costly, and time-consuming to manage. Dremio offers a solution by migrating your Hadoop data lake to a more modern and efficient architecture. With Dremio, you can improve performance, reduce costs, and deliver unified self-service analytics.

Why Migrate to Dremio?

Dremio’s open data lakehouse architecture provides a flexible and scalable solution for your organization’s data needs. By migrating to Dremio, you can:

• Improve performance: Dremio’s optimized query engine allows for sub-second query performance.
• Reduce costs: Dremio’s architecture is designed to reduce costs by eliminating unnecessary data movement.
• Deliver unified self-service analytics: Dremio provides a unified access layer for governed self-service analytics.
• Unlock the full potential of your data: Dremio’s comprehensive support for Apache Iceberg and Apache Arrow enables seamless integration with other open-source technologies.

Sendur Sellakumar, CEO

Sendur has been in the technology industry for the last 25 years. Sendur’s experience focuses on enterprise software and cloud services. He began his career in technology as a software developer and grew to run Splunk’s $1Bn+ Cloud business. He grew and led successful teams at Morgan Stanley, Splunk, and ServiceTitan. Sendur holds a BS in Computer Science from UC San Diego and an MBA in Finance from Cornell.

“Our intuitive Unified Analytics, high-performance SQL Query Engine, and Lakehouse Management service for next-gen dataops let you shift left for the fastest time to insight.”