OpenSearch Project
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.
- Company typePrivate
- Founded2021
- HeadquartersSeattle, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
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.
OpenSearch Project firmographics
Firmographics- 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
OpenSearch Project industry classification
Industry- 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
Where OpenSearch Project is headquartered
LocationHeadquarters
- HQ city
- Seattle
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
OpenSearch Project business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales
Revenue model
- 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.
- 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.
- 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.
- 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
| Model | Billing | Price |
|---|---|---|
| Freemium | Others | Open Source - Free Community Version |
Go-to-market motion2 records
Distribution channels5 records
Marketing channels10 records
OpenSearch Project product offering
Product offeringCore 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
Companies that use OpenSearch Project
Customer profileNamed customers10 records
Segments6 records
Ideal customer profiles4 records
OpenSearch Project technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration11 records
AI capability12 records
Feature10 records
OpenSearch Project partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered core and minor.
- Linux FoundationcoreThe 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.
- IBMcoreIBM 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.
- NVIDIAcoreNVIDIA 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.
- UbercoreUber 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 ServicescoreAWS 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 TechnologyminorRackspace 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.
- QuantiphiminorQuantiphi, 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.
- WiprominorWipro 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 KafkacoreOpenSearch 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)coreOpenSearch 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
OpenSearch Project competitors and assessment
Company assessmentEmerging 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
OpenSearch Project social profiles
Digital presenceOpenSearch Project financial estimates
Financial estimateRevenue estimate
Valuation estimate
OpenSearch Project leadership team
Management profileNumber of profiles
Profiles1 record
OpenSearch Project funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
OpenSearch Project M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about OpenSearch Project
What does OpenSearch Project do?
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.
Is OpenSearch Project a public or private company?
OpenSearch Project is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was OpenSearch Project founded?
OpenSearch Project was founded in 2021. It employs 101 to 250 people.
Where is OpenSearch Project based?
OpenSearch Project is headquartered in Seattle, United States, in the North America region.
How does OpenSearch Project make money?
Four revenue lines are on record. Open Source Distribution is the primary driver. The others are managed Cloud Services (Ecosystem), professional Services and Support (Ecosystem) and enterprise Infrastructure Positioning.
Who are OpenSearch Project's main competitors?
Emerging players on record are Weaviate, Typesense, Meilisearch, Pinecone, Qdrant and Milvus. Direct peers are Vespa and Elastic. Broad incumbents are MongoDB Atlas Search and Algolia.
Does OpenSearch Project have an API?
Yes. OpenSearch provides a comprehensive REST API for all core operations including search, indexing, aggregations, security, and ML features. It supports multiple query interfaces including SQL, Piped Processing Language (PPL), and Dashboards Query Language (DQL). The platform also offers a gRPC API for bulk operations, search, and k-NN operations. Language-specific clients are available for interacting with OpenSearch programmatically. Developer documentation is at docs.opensearch.org/latest/api-reference.
What industry is OpenSearch Project in?
OpenSearch Project's product category is Open Source Search and Analytics Software. Its primary akta.pro industry code is MPACAJAK, Developer & Open-Source Communities, with a secondary code of BPAMABAM, Open-Source & Developer Communities. Its NAICS code is 519290 and its SIC code is 7370.