July 14, 2026 2:00-3:00 PM EST
Virtual
Real-time analytics stack only works when the whole path is fast: fast ingest plus fast queries. Events need to move through the streaming layer with low latency, then become queryable immediately in the analytics database.
This webinar shows how Apache Iggy and Apache Doris work together to cover that full path: Iggy handles high-throughput, low-latency event streaming, while Doris serves fresh data with sub-second analytical queries. A Rust-native Iggy sink connector connects the two directly, without a JVM-based connector layer or intermediary system.
Apache Iggy is a fast, persistent message streaming platform written in Rust, built for high-throughput and low-latency event movement. Using the same pipeline and hardware: Iggy delivered 3x throughput and 29x lower P99 latency than Kafka when streaming into Doris.
Apache Doris is a real-time search and analytics database providing low-latency, high-concurrency analytics across diverse workloads in a unified system.
Key Takeaways:
- Real-time analytics stacks, fast ingest + fast query path without middleware
- Demo: Apache Iggy + Iggy sink connector + Apache Doris for real-time analytics
Speakers:
Kranti Parisa, Founder and CEO, LaserData Kevin Shen, Principal Product Manager, VeloDB
