-

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 Reports Third Quarter Fiscal 2026 Financial Results

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced financial results for its third quarter of fiscal 2026 ended January 31, 2026. Third Quarter Fiscal 2026 Financial Highlights Total revenue was $450 million, an increase of 18% year-over-year, or 16% on a constant currency basis Total subscription revenue was $426 million, an increase of 19% year-over-year, or 17% on a constant currency basis Sales-led subscription revenue (calculated as subscription revenue...

Elastic Introduces Best-in-Class Embedding Models for High Performance Semantic Search

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today announced the availability of jina-embeddings-v5-text, a family of two small, Elasticsearch-native multilingual embedding models at 0.2B and 0.6B parameters that deliver state-of-the-art performance across key search and semantic tasks. Despite their compact size, they outperform significantly larger models with 7B to 14B parameters and achieve best-in-class results on the MMTEB (Multilingual MTEB) benchmark amon...

Elastic to Present at Upcoming Investor Conference

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced that its management will present at the Morgan Stanley Technology, Media & Telecom Conference on Monday, March 2, 2026, at 1:50 p.m. PT / 4:50 p.m. ET. The presentation will be webcast live, and a replay will be available for a limited time on the Events and Presentations section of Elastic’s investor relations website at ir.elastic.co. About Elastic Elastic (NYSE: ESTC), the Search AI Company, integrates...
Back to Newsroom