What lies ahead for Apache Druid? Join us as we explore the evolving landscape of Druid’s query and storage engines, and how they are positioned to address the biggest challenges in event data for the future.
Speaker:
Gian Merlino, Co-Founder & Chief Technology Officer, Imply
[Timestamp] Table of Contents:
[0:00] Introduction and Apache Druid 31 Announcement
[1:00] Overview of Druid as an Event Query Engine
[2:00] Highlighting Three Key Projects: Embedded Projections, Dart, and Virtual Storage
[2:30] Embedded Projections: Enhancing Local Query and Storage Layers
[3:30] Explanation of Embedded Projections with Data Layouts
[5:00] Performance Gains from Embedded Projections
[6:00] Dart: A New Query Engine Profile
[7:00] Comparing Dart and Native Query Engines
[9:00] Benchmarks: Dart’s Performance on Complex Queries
[11:00] Needle-in-a-Haystack Benchmark Comparison
[13:00] Virtual Storage: Unifying Cloud Storage, Local Disks, and Memory
[14:00] Evolution of Historical and Real-Time Storage Layers
[15:00] Integration with External Storage Formats like Parquet
[16:00] Conclusion and Invitation to Explore Druid 31 Features
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