Measured Search vs OpenSearch

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

Measured Search is a Search Engines solution with tags like privacy, unbiased, tracking-free.

It boasts features such as 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 pros including Strong privacy protection, Unfiltered and unbiased results, User control over safe search filtering, Support for many languages, Multimedia and local search capabilities.

On the other hand, OpenSearch is a Search & Information Retrieval product tagged with opensource, elasticsearch, apache, restful, analytics.

Its standout features include 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 it shines with pros like Free and open source, Powerful search capabilities, Horizontally scalable, Easy to deploy, Extensible via plugins, Compatible with Elasticsearch APIs, Active community support.

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

Product Overview

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.

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.

Key Features Comparison

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

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

Pros & Cons Analysis

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

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

Pricing Comparison

Measured Search

• Freemium

OpenSearch

• Open Source