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.

Add your organization

How Iggy is being used

Workloads the community has shared in their own words.

LakeSail

Real-time Analytics

LakeSail logo

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 logo

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

Measure logo

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 logo

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.

Organizations building & integrating with Iggy

Companies, projects and teams that have told the community they are using or building with Apache Iggy.

Evaluating or Building with Iggy? Tell the community.

Exploring Iggy, running a POC, building an integration, or already in production? You’re part of the story. We’d love to hear what you’re building.

Share your use case on GitHub

Prefer to send the pull request yourself? See the submission guide.

Usage information on this page comes from community submissions as well as publicly available sources, including project documentation, GitHub issues and pull requests, blog posts, conference talks, and public social media posts. Where possible, Apache Iggy committers review entries and link to the original source. Usage, deployment stage, and other details may change over time and should be understood in the context of the cited source. Company names, product names, trademarks, and logos are the property of their respective owners. Inclusion on this page is for informational and community purposes and does not imply endorsement by the Apache Software Foundation or by the organizations listed.