-

Elastic Announces Elasticsearch Logsdb Index Mode to Reduce Log Data Storage Footprint by Up to 65%

Security and observability teams now benefit from reduced storage expenses and longer log retention to support their threat hunting, incident response, and compliance requirements

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced the general availability of Elasticsearch logsdb index mode. This latest innovation in log management reduces the storage footprint of log data by up to 65% compared to recent versions of Elasticsearch without logsdb index mode. Now, security and observability teams have increased visibility while keeping all data immediately accessible for analysis.

“Logs are critical for detection and remediation, but the growing log volume generated by infrastructure and applications is driving up costs and forcing compromises that hinder analysis,” said Ken Exner, chief product officer at Elastic. “Logsdb index mode reduces the disk footprint and overall cost of storing log data with features including smart index sorting, synthetic source and advanced compression.”

Logsdb index mode optimizes data ordering, eliminates duplication by reconstructing non-stored field values with synthetic _source, and improves compression with advanced algorithms and codecs. Key benefits include:

  • Reduced costs: enables organizations to reduce storage expenses while retaining more data, saving costs across all storage tiers.
  • Preservation of valuable data: retains all log data using features like synthetic _source, improving operational efficiency without relying on extra tools or filters.
  • Expanded visibility: provides access to all data on one platform without separate silos for various data, accelerating problem resolution, investigation, and remediation for site reliability engineers (SREs) and security operations center (SOC) teams.
  • Streamlined access to data: retains actionable data efficiently, enabling troubleshooting, trending and analysis for SRE teams, and allows SOC teams to swiftly search all of their data for investigation and threat hunting.

Availability

Logsdb index mode is generally available for Cloud Hosted and Self-Managed customers starting in version 8.17 and is enabled by default for logs in Elastic Cloud Serverless.

Basic logsdb index mode capabilities are available to organizations with Standard, Gold, and Platinum licenses. Complete logsdb index mode capabilities are available to Serverless customers as well as organizations with an Enterprise license.

Read the blog to learn how to get started, or start your free trial now.

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

Elastic N.V.

NYSE:ESTC

Release Versions

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