-

Elastic Introduces Better Binary Quantization Technique in Elasticsearch

Developers using Elasticsearch to store vectorized data now benefit from 95% reduction in required memory

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced Better Binary Quantization (BBQ) in Elasticsearch. BBQ is a new quantization approach developed from insights drawn from a technique proposed by researchers at Nanyang Technological University Singapore called RaBitQ. Elastic’s BBQ is a distinct evolution of the ideas presented in the RaBitQ paper. It delivers advancements in quantization for Lucene and Elasticsearch, offering high-ranking quality while achieving a 95% memory reduction and similar storage offered by scalar quantization.

“Elasticsearch is evolving to become one of the best vector databases in the world, and we see our users wanting to put more and more vectorized data in it,” said Ajay Nair, general manager, Platform at Elastic. Better Binary Quantization is our latest innovation to reduce the resources needed to store vectorized data and provide freedom to our users to vectorize all the things.”

BBQ is now available as a tech preview in Elasticsearch for self-managed and cloud users and will be contributed to Apache Lucene. Read the Elastic blog for more information.

About Elastic

Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.

Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

Contacts

Media Contact
Elastic PR
PR-team@elastic.co

Industry:

Elastic N.V.

NYSE:ESTC
Release Versions
English

Contacts

Media Contact
Elastic PR
PR-team@elastic.co

More News From Elastic N.V.

Elastic Jina Embeddings v3 Now Available in Gemini Enterprise Agent Platform Model Garden

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced that Jina Embeddings v3 is now available as a self-deployable partner model in Gemini Enterprise Agent Platform Model Garden. As the first Jina model available on the platform, it enables organizations to deploy high-performance retrieval models directly within their own cloud environments. With Jina Embeddings v3 deployed directly inside their Google Cloud projects and Virtual Private Clouds (VPCs), enterpri...

Elastic Adds Native Prometheus and PromQL Support to Elastic Observability

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today announced native Prometheus support, including direct ingestion via Remote Write and full PromQL support in Kibana. These additions enable Site Reliability Engineers (SREs) to analyze Prometheus metrics alongside logs and traces in a single platform, without rewriting queries or rebuilding pipelines. As organizations scale Kubernetes, Prometheus telemetry cardinality and volumes surge, forcing SREs to juggle mult...

Elastic Collaborates with Google Cloud to Bring its Embedded Security Layer to Google Distributed Cloud Air-Gapped Environments

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today announced a deep integration with Google Distributed Cloud (GDC) air-gapped, where Elastic is a critical partner providing a security layer for customers. This deep integration provides a hardened architecture for organizations handling highly sensitive, regulated workloads to use Elastic’s agentic security operations platform to combat modern AI-driven cyber threats. Organizations in highly regulated industries...
Back to Newsroom