OpenSearch
OpenSearch is an open source search engine software project that is based on Elasticsearch and Apache 2.0 licensed. It provides RESTful search and analytics APIs suitable for building search applications.
OpenSearch: Open Source Search Engine Software
OpenSearch is an open source search engine software project based on Elasticsearch, Apache 2.0 licensed, providing RESTful search and analytics APIs for building search applications.
What is OpenSearch?
OpenSearch is an open source search engine software project that provides full text search, analytics, and other capabilities. It is based on Elasticsearch and Kibana and is developed under the Apache 2.0 license.
Some key features and capabilities of OpenSearch include:
- RESTful search API - Enables searching over structured, unstructured, geo, and time series data
- Analytics and visualizations - Plugins available for aggregations, dashboards, etc. using Kibana
- Scalability and resilience - Designed to scale horizontally across Nodes and handle failures
- Plugins - Extend functionality with a variety of plugins for security, alerting, machine learning, etc.
- Easy to operate - Simple installation, upgrades, operations suitable for developers
Overall, OpenSearch is well suited for building all types of search applications from small scale to large enterprise search systems. Its open source nature provides transparency and customizability not available in proprietary commercial offerings.
OpenSearch Features
Features
- Open source
- Based on Elasticsearch
- Supports full-text search
- Provides analytics APIs
- Scalable and distributed search engine
- Plugin architecture to extend functionality
- Works with variety of data stores
Pricing
- Open Source
Pros
Free and open source
Powerful search capabilities
Horizontally scalable
Easy to deploy
Extensible via plugins
Compatible with Elasticsearch APIs
Active community support
Cons
Steep learning curve
Limited documentation and guides
Not as feature rich as Elasticsearch
Lacks some advanced Elasticsearch features
Not ideal for complex search needs
Less flexible than building custom search with Elasticsearch
Official Links
Reviews & Ratings
Login to Review4.1
★
★
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17 reviews
Rating Breakdown
Ease of Use
★
★
★
★
★
3.7
Features
★
★
★
★
★
4.3
Value for Money
★
★
★
★
★
4.9
Customer Support
★
★
★
★
★
3.0
Overall Experience
★
★
★
★
★
4.1
Recent Reviews
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Sarah Allen
Mar 23, 2026
★
★
★
★
★
A Solid, Community-Driven Search Solution
We migrated from Elasticsearch to OpenSearch after the licensing changes, and it's been a seamless transition. The familiar, powerful RESTful APIs are all there, making it perfect for our internal search and analytics dashboards. Knowing it's truly open-source under Apache …
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Emma Hall
Mar 19, 2026
★
★
★
★
★
A Truly Open and Capable Search Solution
As a developer who was concerned about licensing changes in other search platforms, OpenSearch has been a fantastic find. It's as powerful as the engine it's based on, with the crucial benefit of a genuine open-source Apache 2.0 license. The …
A
Anna Miller
Mar 19, 2026
★
★
★
★
★
A Solid Open-Source Search Solution for Modern Applications
After migrating from Elasticsearch to OpenSearch for our internal analytics platform, we've been very satisfied. The API compatibility made the transition nearly seamless, and the Apache 2.0 licensing gives us peace of mind for future scaling. The performance has been …
River Taylor
Mar 18, 2026
★
★
★
★
★
A powerful, open-source search engine, but the path has been rough.
OpenSearch delivers as a powerful, scalable search and analytics engine. The open-source, Apache 2.0-licensed core is a major advantage, providing a robust and free alternative. However, the initial set up and configuration has a steep learning curve, and the early …
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Anna Walker
Mar 16, 2026
★
★
★
★
★
A reliable open-source search solution that just works
We migrated from Elasticsearch to OpenSearch after licensing changes and have been pleasantly surprised. The RESTful APIs are identical to what we were using before, so our existing search applications required minimal adjustments. It handles our analytics workloads efficiently, and …
Rating Distribution
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