OpenSearch Project

What OpenSearch Project does

OpenSearch is an open-source, community-driven search and analytics suite governed by the OpenSearch Software Foundation, a project of The Linux Foundation headquartered in the United States. Originally forked from Elasticsearch by Amazon Web Services in 2021 following licensing disputes, the platform is built on Apache Lucene and provides a distributed, RESTful search and analytics engine spanning four primary surfaces: OpenSearch Core (search and analytics), OpenSearch Dashboards (visualization), OpenSearch Data Prepper (server-side data collection), and the OpenSearch Vector Engine (ML/AI workloads). Additional modules deliver observability (logs, APM, traces, alerting), security analytics (threat intelligence, event correlation), and a unified ML/AI layer including vector search, hybrid lexical-semantic search, anomaly detection, RAG, and agentic AI with Model Context Protocol (MCP) integration as of OpenSearch 3.3 (October 2025).

The platform serves enterprise users across financial services (Goldman Sachs, Dow Jones), technology (Pinterest, Zoom, Uber, SAP), IT services (Wipro, Rackspace, Quantiphi), and observability vendors (Coralogix), with a horizontal segmentation approach spanning AI/ML applications, observability, security analytics, enterprise search, e-commerce search, and generative AI/RAG use cases. Premier foundation members include AWS, IBM, and NVIDIA, the latter two having publicly positioned OpenSearch as the de facto AI data infrastructure layer for agentic AI systems. GTM is community-led with PLG self-serve downloads supplemented by managed-service channels (AWS OpenSearch Service, cloud marketplaces) and a partner channel of system integrators.

The business model is open-source licensed (Apache 2.0) with no direct revenue to the project. Commercial value is captured by ecosystem participants through managed cloud services (AWS OpenSearch Service), professional services and implementation (Quantiphi, Rackspace, Wipro), and infrastructure positioning (IBM, NVIDIA for AI workloads). Reported user outcomes include 40-60% improvements in search relevance and 30-50% reductions in infrastructure costs versus prior solutions.

Name

OpenSearch Project

Legal name

OpenSearch Project a Series of LF Projects, LLC

Website

https://opensearch.org

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

101–250 employees

Short description

OpenSearch is an open-source, Apache 2.0-licensed search and analytics suite governed by the Linux Foundation, serving enterprises across observability, security analytics, vector/AI search, and RAG workloads through community-led distribution and ecosystem partners including AWS, IBM, and NVIDIA.

Ownership category

akta.pro rank

Product category

Open Source Search and Analytics Software

NAICS

Web Search Portals and All Other Information Services (519290), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design and Related Services (54151)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)

akta.pro primary industry

Developer & Open-Source Communities (MPACAJAK)

akta.pro secondary industry

Open-Source & Developer Communities (BPAMABAM)

Keywords

• Open source search engine
• Vector database platform
• Log analytics software
• Observability platform
• Enterprise search analytics

Headquarters

HQ city

Seattle

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales

Revenue model

1. Open Source Distribution: OpenSearch is an Apache 2.0-licensed open-source project distributed freely. Revenue is not generated directly from the open-source software but through complementary services and managed offerings from the ecosystem.
2. Managed Cloud Services (Ecosystem): Cloud providers and vendors including AWS (OpenSearch Service), Elastic, IBM, and others offer managed OpenSearch-based services. These providers generate revenue through cloud infrastructure fees, subscription pricing for managed services, and premium support tiers.
3. Professional Services and Support (Ecosystem): Solution providers and system integrators including Coralogix, Quantiphi, Rackspace Technology, and others offer professional services, implementation, and support services around OpenSearch deployments.
4. Enterprise Infrastructure Positioning: Enterprise organizations adopt OpenSearch as AI data infrastructure, with premier members like IBM and infrastructure positioning by NVIDIA generating ecosystem value through AI application development and deployment.

Pricing tiers

Go-to-market motion2 records

Distribution channels5 records

Marketing channels10 records

Core offering

OpenSearch Project provides an open-source, Apache 2.0-licensed search and analytics suite that enables organizations to ingest, search, visualize, and analyze data at scale. The platform combines a distributed search and analytics engine built on Apache Lucene with vector database capabilities for AI/ML applications, observability features (log analytics, APM, tracing), and security analytics (threat detection, event correlation). It is offered free of charge under Linux Foundation governance, with enterprise adoption facilitated through managed cloud services and partner-led implementation services.

Product overview

OpenSearch is an open-source, community-driven search and analytics suite that provides a platform-plus-modules architecture. The core offering consists of OpenSearch Core (built on Apache Lucene) and OpenSearch Dashboards for visualization, complemented by specialized modules including the OpenSearch Vector Engine for AI/ML vector search capabilities, OpenSearch Data Prepper for data ingestion and transformation, and specialized solutions for Observability (log analytics, APM, tracing) and Security Analytics (threat detection, event correlation). The platform integrates AI capabilities through ML Commons for model support, OpenSearch Assistant Toolkit for conversational interfaces, and supports autonomous agents through agentic AI features. All components are Apache 2.0 licensed and governed by the OpenSearch Software Foundation under the Linux Foundation.

Differentiator

Problem solved

Functional benefit

Brands

• OpenSearch Core: The core search and analytics engine built on Apache Lucene
• OpenSearch Dashboards
• OpenSearch Data Prepper
• OpenSearch Vector Engine
• OpenSearch Agent Skills
• OpenSearch Software Foundation

Products and services

• OpenSearch Core The fundamental distributed search and analytics engine built on Apache Lucene, providing full-text search, indexing, aggregations, and distributed data management capabilities for enterprise search and observability workloads. Targeted at developers and enterprises building search, analytics, and AI applications.
• OpenSearch Dashboards A flexible, fully integrated data visualization UI for exploring, querying, and visualizing data stored in OpenSearch with support for dashboards, maps, and interactive visualizations. Targeted at users analyzing data in OpenSearch clusters including operators, analysts, and developers.
• OpenSearch Data Prepper A server-side data collector designed to enrich, transform, normalize, and aggregate data for downstream analytics with OpenSearch, supporting complex data processing pipelines. Targeted at platform engineers and data engineers building data ingestion pipelines for OpenSearch.
• OpenSearch Vector Engine A high-performance vector database component designed for machine learning and generative AI applications, enabling semantic search, similarity matching, and AI-powered retrieval through vector embeddings. Targeted at AI/ML engineers and data scientists building AI applications requiring vector search capabilities.
• OpenSearch Agent Skills Repository A repository of open, composable skills that integrate OpenSearch-specific capabilities into agentic developer workflows. Includes skills such as opensearch-launchpad (translates natural-language requirements into configured OpenSearch indices) and log-analytics (executes Piped Processing Language queries for incident investigation). Targeted at developers using AI coding agents that support Model Context Protocol (MCP).

Quantifiable outcome

• 1.4 billion+ downloads
• +3 more outcomes

Named customers10 records

Segments6 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration11 records

AI capability12 records

Feature10 records

Partnerships

Ten partnerships are on record, tiered core and minor.

• Linux FoundationcoreStrategic or Co-development Partner · 1 September 2024The OpenSearch Software Foundation was formed as a project of the Linux Foundation in September 2024. This provides governance under the Linux Foundation Projects umbrella, establishing OpenSearch as a community-driven, Apache 2.0-licensed open source project with transparent governance and broader ecosystem support.
• IBMcoreStrategic or Co-development PartnerIBM joined as a premier member of OpenSearch, positioning OpenSearch as an AI data infrastructure standard. IBM's Phil Nash released OpenRAG, an open-source technology stack combining OpenSearch with Langflow for RAG systems. IBM leverages OpenSearch as infrastructure for AI application development.
• NVIDIAcoreStrategic or Co-development PartnerNVIDIA positioned OpenSearch as a key AI data infrastructure layer for their agentic AI systems. This strategic positioning indicates deep technical integration and co-development for AI workloads on NVIDIA infrastructure.
• UbercoreTechnology or IntegrationUber Engineering contributed a native pull-based ingestion framework to the OpenSearch project, available experimentally in OpenSearch 3.0. This framework replaces traditional translog with stream-based durability using Apache Kafka as the durable source of truth, enabling active-active multi-region deployment.
• Amazon Web ServicescoreTechnology or IntegrationAWS offers OpenSearch Service as a managed cloud service. AWS publishes OpenSearch Agent Skills repository and has published technical tutorials for integrating OpenSearch with Amazon Bedrock, Amazon SageMaker, and other AWS services. AWS positions OpenSearch as part of its AI/ML data infrastructure.
• Rackspace TechnologyminorImplementation/ SI/ Consulting PartnerRackspace Technology utilizes OpenSearch across data platform implementations and builds modern data solutions for customers using OpenSearch. Welcomes open-source contribution and collaboration as it underpins modern analytics platforms.
• QuantiphiminorImplementation/ SI/ Consulting PartnerQuantiphi, an AWS APN Ambassador, leverages OpenSearch for source tracking, content search, and log analytics. Uses Advanced security, alerting, KNN Search, and anomaly detection capabilities for customer engagements.
• WiprominorImplementation/ SI/ Consulting PartnerWipro provides open source search and analytics services around log aggregation, operational monitoring and data observability using OpenSearch. Actively contributing and participating in OpenSearch community.
• Apache KafkacoreTechnology or IntegrationOpenSearch 3.0 integrates with Apache Kafka for pull-based ingestion, using Kafka as the durable source of truth. This enables stream-based durability and active-active multi-region deployment for enterprise-scale deployments.
• Model Context Protocol (MCP)coreTechnology or IntegrationOpenSearch Agent Skills are compatible with coding agents supporting the Model Context Protocol (MCP). Specifically names Kiro, Claude Code, and Cursor as examples. MCP integration enables OpenSearch capabilities to be integrated into agentic developer workflows.

Scale indicators8 records

Recent moves7 records

Expansion highlights5 records

Emerging players

• Weaviate: An open-source vector database with hybrid search and generative AI integration; competes with OpenSearch in the RAG and semantic search segment.
• Typesense: An open-source, typo-tolerant search engine optimized for instant search experiences; overlaps with OpenSearch in e-commerce and enterprise search use cases.
• Meilisearch: An open-source, lightweight search engine focused on developer experience and fast deployment; competes with OpenSearch in application search scenarios.
• Pinecone: A managed vector database purpose-built for machine learning applications and similarity search; directly competes with OpenSearch's Vector Engine for AI retrieval workloads.
• Qdrant: An open-source vector search engine written in Rust, focused on high-performance similarity search and production-grade RAG use cases; competes with OpenSearch Vector Engine.
• Milvus: An open-source vector database built for scalable similarity search; backed by the LF AI & Data foundation and competes with OpenSearch Vector Engine on enterprise AI workloads.

Direct peers

• Vespa: Yahoo's open-source platform for large-scale search, ranking, and machine-learned model serving; overlaps with OpenSearch's hybrid search and AI retrieval capabilities.
• Elastic: The original Elasticsearch project from which OpenSearch was forked in 2021; offers an open-source search and analytics platform with vector search, observability, and security features targeting the same enterprise use cases.

Broad incumbents

• MongoDB Atlas Search: Search functionality embedded in the broader MongoDB document database platform; competes with OpenSearch for customers seeking search alongside operational data storage.
• Algolia: A commercial search-as-a-service platform widely used for e-commerce and enterprise site search; competes with OpenSearch in hosted search applications.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/OpenSearchProj
• GitHubgithub.com/opensearch-project
• YouTubeyoutube.com/c/OpenSearchProject
• Facebookfacebook.com/OpenSearchProject
• LinkedInlinkedin.com/company/opensearch-project

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about OpenSearch Project