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.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Lemur Project

Lemur Project

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.

Categories:
open-source web-crawler archiving content-analysis

Lemur Project Features

  1. Distributed crawling architecture
  2. Plugin system for custom crawling logic
  3. REST API for managing crawls
  4. Heritrix web crawler integration
  5. WARC generation for archiving crawled content
  6. Built-in analytics like language detection

Pricing

  • Open Source

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

dtsearch

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.

Categories:
text-search indexing enterprise-search

Dtsearch Features

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

Pricing

  • One-time Purchase
  • Subscription-Based

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