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# Next-Gen Vector Database for Sustainable GenAI


- **Date:** Wednesday, Jul 9, 2025
- **Time:** 16:00–18:00 (120 min)
- **Room:** M1 (60 Seats)
- **Event:** World Congress 2025

## Description

Monolithic databases waste energy, powering unused data in GenAI workloads. According to the 80/20 rule, only up to 20% of the data is regularly needed, while 80% is unused. The Eclipse open-source community works on the future of vector databases: a micro vector database network - inspired by the serverless microservice architecture principle. Unlike clunky, monolithic databases that waste energy running massive servers 24/7, whether data is accessed or not, a micro vector database network dynamically allocates compute power only to the 20% of data in use, shutting down up to 80% of idle regions. The result is a blazing-fast vector search for cutting-edge GenAI solutions, slashing energy, CO2 emissions, and infrastructure costs by up to 80%. Learn how this Eclipse project redefines performance and sustainability due to the Eclipse OpenJ9 JVM, aiming to globally reduce GenAI’s energy footprint with scalable, impactful innovation.

## Speaker

### [Markus Kett](https://www.wearedevelopers.com/@markus-kett)

CEO at MicroStream, Editor in Chief at JAVAPRO Magazine 


## Related talks at this congress

- [How to Decipher User Uncertainty with GenAI and Vector Search](https://www.wearedevelopers.com/events/world-congress-2025/sessions/864-how-to-decipher-user) — Ben Greenberg
- [Beyond AI Readiness: Scaling Data-Driven Engineering for Next-Gen Software & Infrastructure](https://www.wearedevelopers.com/events/world-congress-2025/sessions/513-beyond-ai-readiness) — Eduard, Jannis Eickenroth, Sophie Kleinke
- [Harnessing the Power of Open Source's Newest Technologies](https://www.wearedevelopers.com/events/world-congress-2025/sessions/868-harnessing-the-power) — Francisco Carneiro
- [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/events/world-congress-2025/sessions/818-beyond-gpt-building) — Kapil Gupta