What's new
Discover the latest from Elastic
Learn about the latest enhancements and updates to the Elasticsearch Platform. Whether you're looking to build agents, automate root cause analysis, or detect, investigate, and respond to threats at scale — our newest innovations are designed to help you do more with your data.
Elastic 9.2
Elastic 9.2 is now available, bringing new high-impact capabilities, including these highlights:
Search & AI
Elastic Agent Builder, a new set of AI-powered capabilities that enable developers to natively chat with their Elasticsearch data and simplify the development of custom AI agents. And, the introduction of DiskBBQ, a new approach to vector indexing that relies on clustering vectors — delivering a more (cost) efficient way to handle large data-set use cases while (still) providing excellent query performance and ranking quality.
Observability
Streams, a set of new AI-driven capabilities that enable SREs using Elastic Observability to solve problems faster by automatically parsing, compressing, and surfacing significant events from unstructured data, namely: logs. And, significant metrics enhancements, including: new time series commands in ES|QL that deliver queries up to 10x faster and an increasingly interactive Discover experience that simplifies metric exploration and visualization with auto-generated queries.
Security
Automatic Migration for Dashboards (in technical preview) significantly reduces onboarding time by helping users migrate custom dashboards from Splunk to Elastic. And, Device Control — empowering security teams to define and enforce policies that govern the use of storage devices. Device Control is about intelligent management – allowing necessary access while preventing potential threats.
Elasticsearch Platform
Building on ES|QL enhancements from Elastic 9.1, ES|QL Smart Lookup Joins enable users to match on multiple fields and expressions (including <, >, !=) and enrich rows from a lookup index — even across remote clusters. In addition, ES|QL Time Series & Smart Enrichment in Discover enables users to conduct time-series analysis (RATE, *_OVER_TIME, TBUCKET, TS) and in-place enrichment with LOOKUP JOIN natively within Discover.
Elastic 9.1 and 8.19
Elastic 9.1 and 8.19 are now available, bringing high-impact features across our platform and solutions, including these highlights:
Search & AI
Better Binary Quantization, which is 5x faster than Opensearch, is now on by default (for 9.1 only).
Observability
Azure AI Foundry integration centralizes observability by pulling logs and metrics from any AI model hosted on Azure AI Foundry.
Security
Attack Discovery now supports automated scheduling and actions, persistent results, and easy sharing.
Elasticsearch Platform
Lookup Join, which provides a powerful, performant alternative to the enrich command, and ES|QL on Cross-Cluster Search (CCS), now with a re-engineered, resilient architecture, are both generally available.
Elastic 9.0 and 8.18
Directly join data and event streams in real time with lookup indexes. Access models easily for semantic search. Mix KQL's expressive filtering with ES|QL's transformation power. Try all this and more!
Search & AI
The best vector database is now even better with Elasticsearch BBQ - learn about our latest accuracy improvements and comparison against OpenSearch.
Also included in this release:
- ES|QL capabilities for better intuitiveness and speed in your search
- Elastic Rerank with simple Inference API syntax, requires no configuration
Observability
All components of Elastic Distributions of OpenTelemetry (EDOT) are now GA, including the EDOT Collector and language SDKs.
Also included in this release:
- LLM observability providing visibility into the performance, cost, safety, and reliability of Gen AI-enabled applications
Security
Ease migration of SIEM rules to Elastic Security. Simply upload your rules and let AI do the rest.
Also included in this release:
- Attack Discovery is smarter, Automatic Import boosts API support, and AI Assistant cites custom sources
- Easier customization and upkeep of prebuilt rules
Elastic 8.17
Elasticsearch logsdb index mode
With the general availability of the Elasticsearch specialized logsdb index mode, Elastic has dramatically reduced the storage footprint of log data in Elasticsearch by up to 65%. This allows you to store more observability and security data without exceeding your budget, while keeping all data accessible and searchable.
Elastic Rerank
Get a semantic boost for full-text search with Elastic's highly performant and efficient semantic reranking model, now in technical preview. Elastic Rerank model integrates with third-party models for semantic re-ranking, making it much easier to get started with relevance tuning.
Elastic 8.16
Explore an updated Kibana experience. Stay in command of your data with ES|QL. Try flexible chunking strategies with word- or sequence-based strategy.
Search & AI
Learn how you can employ the industry's first vector database with Better Binary Quantization (BBQ), optimized for large workloads.
Also included in this release:
- Production-ready hybrid conversational search with retrievers and reciprocal rank fusion
- Streamlined getting-started workflows
- Elastic AI Assistant for Search
Observability
Included in this release:
- LLM observability extended to Amazon Bedrock
- OTel data ingestion that just works
- Log analytics enhancements
Security
Included in this release:
- Ability to ingest custom knowledge sources into Elastic AI Assistant
- Contextual cloud protection included in security analytics