OpenSearch vs Measured Search

Struggling to choose between OpenSearch and Measured Search? Both products offer unique advantages, making it a tough decision.

OpenSearch is a Search & Information Retrieval solution with tags like opensource, elasticsearch, apache, restful, analytics.

It boasts features such as 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 and pros including Free and open source, Powerful search capabilities, Horizontally scalable, Easy to deploy, Extensible via plugins, Compatible with Elasticsearch APIs, Active community support.

On the other hand, Measured Search is a Search Engines product tagged with privacy, unbiased, tracking-free.

Its standout features include Private search - does not track or profile users, Unbiased search results - no filtering or personalization, Customizable safe search filtering, Multiple language support, Image and video search, Maps and local search, Autocomplete suggestions, and it shines with pros like Strong privacy protection, Unfiltered and unbiased results, User control over safe search filtering, Support for many languages, Multimedia and local search capabilities.

Feature	OpenSearch	Measured Search
Overall Score	1	N/A
Primary Category	Search & Information Retrieval	Search Engines

Product Overview

OpenSearch

Description: 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.

Measured Search

Description: Measured Search is a privacy-focused search engine that does not track or profile users. It provides relevant search results without filtering or biases.

Key Features Comparison

OpenSearch 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

Measured Search Features

• Private search - does not track or profile users
• Unbiased search results - no filtering or personalization
• Customizable safe search filtering
• Multiple language support
• Image and video search
• Maps and local search
• Autocomplete suggestions

Pros & Cons Analysis

OpenSearch

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

Measured Search

Pros

• Strong privacy protection
• Unfiltered and unbiased results
• User control over safe search filtering
• Support for many languages
• Multimedia and local search capabilities

Cons

• Smaller index than mainstream search engines
• Fewer advanced features like knowledge graphs
• Limited personalization options
• No advertising model to support development

Pricing Comparison

OpenSearch

• Open Source

Measured Search

• Freemium