Subsurface is tailored for data architects and data engineers to discuss open source projects driving innovation in cloud data lakes.| Dremio
A data lakehouse is an architectural approach that combines the performance, functionality, and governance of a data warehouse with the scalability, flexibility, and cost advantages of a data lake.| Dremio
Contact Dremio for inquiries and collaborations. Connect with our team for expert guidance on data solutions and analytics optimization.| Dremio
Explore the integration of Apache Arrow, reflections, and C3 in Dremio for a new era in data lake query performance and cost-effective data management.| Dremio
Dremio outperforms Denodo with better query performance, self-service, cost-effectiveness, and developer-friendly features.| Dremio
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.| Dremio
Dremio's approach removes primary roadblocks to virtualization at scale while maintaining all the governance, agility, and integration benefits.| Dremio
Achieve sub-second BI workloads on your data lake and sources with Dremio’s query optimization and acceleration, ensuring a seamless user experience.| Dremio
Organizations around the world rely on Dremio to power mission-critical BI and analytics.| Dremio
Bring your users closer to the data with lakehouse flexibility, scalability, and performance at a fraction of the cost| Dremio