Lemur Project vs dtsearch

Struggling to choose between Lemur Project and dtsearch? Both products offer unique advantages, making it a tough decision.

Lemur Project is a Development solution with tags like open-source, web-crawler, archiving, content-analysis.

It boasts features such as Distributed crawling architecture, Plugin system for custom crawling logic, REST API for managing crawls, Heritrix web crawler integration, WARC generation for archiving crawled content, Built-in analytics like language detection and pros including Open source and free to use, Highly customizable and extensible, Scales to large crawls with distributed architecture, Well-supported by academic community.

On the other hand, dtsearch is a Office & Productivity product tagged with text-search, indexing, enterprise-search.

Its standout features include Fast document search and retrieval, Supports wide range of file formats including PDF, HTML, DOC, PPT, XLS, emails, etc, Indexing and search terabytes of text, Advanced search options like boolean, regex, proximity, wildcards, etc, Highlight search hits, APIs for integration into applications, Distributed searching across servers, and it shines with pros like Very fast indexing and search speed, Powerful query language, Scales to large data sets, Integrates into many programming languages and platforms, Flexible licensing options.

Feature	Lemur Project	dtsearch
Overall Score	N/A	N/A
Primary Category	Development	Office & Productivity

Product Overview

Lemur Project

Description: The Lemur Project is an open source web crawler that allows users to build customized crawlers to archive and analyze web content. It is developed by the University of Massachusetts and Carnegie Mellon University.

dtsearch

Description: dtSearch is an enterprise and developer text retrieval engine for searching terabytes of text across online, desktop, server, web, and cloud data. It features its own query language along with natural language and boolean searching.

Key Features Comparison

Lemur Project Features

• Distributed crawling architecture
• Plugin system for custom crawling logic
• REST API for managing crawls
• Heritrix web crawler integration
• WARC generation for archiving crawled content
• Built-in analytics like language detection

dtsearch Features

• Fast document search and retrieval
• Supports wide range of file formats including PDF, HTML, DOC, PPT, XLS, emails, etc
• Indexing and search terabytes of text
• Advanced search options like boolean, regex, proximity, wildcards, etc
• Highlight search hits
• APIs for integration into applications
• Distributed searching across servers

Pros & Cons Analysis

Lemur Project

Pros

• Open source and free to use
• Highly customizable and extensible
• Scales to large crawls with distributed architecture
• Well-supported by academic community

Cons

• Steep learning curve
• Requires programming skills to fully utilize
• Limited documentation and support
• Not as turnkey as commercial web crawlers

dtsearch

Pros

• Very fast indexing and search speed
• Powerful query language
• Scales to large data sets
• Integrates into many programming languages and platforms
• Flexible licensing options

Cons

• Steep learning curve for query language
• Not as user friendly as simpler search tools
• Can require significant resources for large scale deployments

Pricing Comparison

Lemur Project

• Open Source

dtsearch

• One-time Purchase
• Subscription-Based