dtsearch vs Lemur Project

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

dtsearch is a Office & Productivity solution with tags like text-search, indexing, enterprise-search.

It boasts features such as 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 pros including Very fast indexing and search speed, Powerful query language, Scales to large data sets, Integrates into many programming languages and platforms, Flexible licensing options.

On the other hand, Lemur Project is a Development product tagged with open-source, web-crawler, archiving, content-analysis.

Its standout features include 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 it shines with pros like Open source and free to use, Highly customizable and extensible, Scales to large crawls with distributed architecture, Well-supported by academic community.

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

Product Overview

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.

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.

Key Features Comparison

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

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

Pros & Cons Analysis

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

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

Pricing Comparison

dtsearch

• One-time Purchase
• Subscription-Based

Lemur Project

• Open Source