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Last Updated: 08-21-2026 09:26 PM (UTC)

OpenSearch

OpenSearch is a search and analytics platforms, powering full-text search, log analytics, observability, and AI-powered vector retrieval at petabyte scale. The distributed engine provides BM25 full-text search alongside k-NN vector search using NMSLIB, Faiss, and Lucene libraries, enabling semantic search, hybrid search combining keyword and vector scoring through normalization processors, neural sparse search, and retrieval-augmented generation workflows with built-in ML Commons for model hosting. OpenSearch Dashboards delivers interactive visualization with Discover for log exploration, custom dashboards, alerting, anomaly detection using Random Cut Forest algorithms, and Security Analytics with detection rules mapped to MITRE ATT&CK. Native Prometheus integration with full PromQL support unifies metrics alongside logs and traces in a single observability interface, while Data Prepper handles telemetry ingestion from OpenTelemetry collectors, Fluent Bit, and Logstash-compatible pipelines. SQL and Piped Processing Language queries with a visual PPL builder enable analysts to query data without learning the native DSL. Index State Management automates index lifecycle with rollover, shrink, and delete policies, while cross-cluster replication and searchable snapshots on S3-compatible storage provide disaster recovery. Scoped API keys, field-level security, document-level security, and audit logging deliver enterprise-grade access control. Docker Compose deploys multi-node clusters alongside the Kubernetes operator for orchestrated production environments. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

OpenSearch
OpenSearch
OpenSearch
OpenSearch
OpenSearch

Benefits

  • Unified Search and Observability Platform
  • Combines full-text search, vector search, log analytics, distributed tracing, and metrics monitoring with native Prometheus PromQL support in a single deployable engine.
  • AI-Powered Vector Search Built In
  • k-NN vector search via NMSLIB, Faiss, and Lucene libraries enables semantic search, hybrid retrieval, neural sparse search, and RAG workflows with hosted ML model inference.
  • Enterprise Security Without Add-Ons
  • Built-in TLS encryption, role-based access control, field-level and document-level security, scoped API keys, audit logging, and SAML and OpenID Connect authentication ship by default.
  • Elastic-Compatible REST API
  • Drop-in compatibility with Elasticsearch 7.x REST APIs enables migration of existing applications, client libraries, and ingestion pipelines without rewriting integration code.

Features

  • OpenSearch Dashboards
  • Interactive visualization platform with Discover log exploration, custom dashboards, alerting, anomaly detection, and Security Analytics with MITRE ATT&CK detection rules.
  • SQL and PPL Queries
  • Query data using SQL or Piped Processing Language with a visual PPL builder, enabling analysts to explore data without learning the native query DSL.
  • Index State Management
  • Automate index lifecycle with configurable rollover, shrink, force merge, snapshot, and delete policies triggered by age, size, or document count conditions.
  • Data Prepper Ingestion
  • Server-side telemetry pipeline ingests data from OpenTelemetry, Fluent Bit, and Logstash-compatible sources with transformation, enrichment, and routing processors.
  • Cross-Cluster Replication
  • Active-passive and active-active replication across clusters provides disaster recovery, geographic distribution, and workload isolation for multi-region deployments.