-

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 Introduces jina-ocr-v1: End-to-End Document Processing in a Single Frontier-Grade Model

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC) today announced the launch of jina-ocr-v1, a new optical character recognition (OCR) model for end-to-end document processing. At 574M active parameters, it delivers frontier-grade accuracy in a model roughly one tenth the size of the benchmark leader. Jina-ocr-v1 accurately converts complex visual documents into structured, machine-readable text, such as Markdown, in a single pass, making it easy to search, train models, and build agentic ap...

Elastic Announces General Availability of Cross-Project Search for Querying Across Serverless Projects Without Moving Data

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC) today announced the general availability of cross-project search (CPS) for Elastic Cloud Serverless, enabling teams to query across multiple serverless projects without moving or duplicating data. Security analysts, SREs and app engineers get a unified search experience across regions, cloud providers and project types, without the operational overhead of centralizing data. Organizations keep data in separate projects for good reasons, such a...

Elastic Security Achieves the Only Perfect Score in the 2026 AV-Comparatives Endpoint Prevention and Response Test

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC) today announced that Elastic Security achieved the only perfect protection score in AV-Comparatives' 2026 Endpoint Prevention and Response (EPR) Test, earning Certified Leader status, the highest distinction AV-Comparatives awards in the test. Elastic sits at the very top of this year’s Certified Leader group, with 100% Active and 100% Passive Response scores and the lowest modeled operational footprint of any product tested. This is the seco...
Back to Newsroom