Powered By Apache Iggy™

From first experiments to production systems, teams are using Apache Iggy to power real-time data across AI and agents, financial services, observability, cybersecurity, IoT and edge, gaming, communications, analytics and big data infrastructure. Iggy is built for workloads where latency, throughput and efficiency matter.

See how organizations, developers and open source projects are building with Iggy.

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How Iggy is being used

Workloads the community has shared in their own words.

Apache Camel

Integration framework

Apache Camel ships a camel-iggy component, giving Camel routes an Iggy producer and consumer along with a Spring Boot starter and Karaf feature.

LakeSail

Real-time Analytics

LakeSail combines Apache Iggy for real-time streaming with Sail for distributed data processing, enabling an end-to-end data infrastructure stack written in Rust. The integration brings together Iggy’s low-latency, resource-efficient streaming with Sail’s distributed compute engine for building high-performance real-time data and analytics pipelines.

LaserData

Real-time & AI Data Infrastructure

LaserData uses Apache Iggy as the real-time streaming foundation of its data infrastructure platform. LaserData builds on Iggy with managed cloud and BYOC deployments, enterprise security and governance, connectors, and higher-level data and AI agent infrastructure capabilities.

Measure

Observability

Apache Iggy powers Measure’s ingestion pipeline, processing billions of mobile data points every week. Measure's ingestion grew 8x while reducing compute costs by 80%, with Iggy providing sub-ms latency and throughput up to 3 GB/s while absorbing ingestion spikes of up to 10x.

VideoDB

Real-time Data Ingestion

VideoDB leverages Apache Iggy for high-volume, real-time video processing, designed to ingest approximately 240 TB of frame data per day while delivering single-digit millisecond P99 latencies.