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farleyknight.github.io

List of web server software packages:

  • Apache HTTP Server
  • Apache Tomcat
  • Jetty
  • lighthttpd
  • Nginx
  • Microsoft's Internet Information Services (IIS) Windows Server

List of open source search engines:

  • Elastic Search
  • Solr
  • Sphinx
  • Apache Lucene
  • Nutch

Useful for reference on this topic: http://solr-vs-elasticsearch.com/

List of message queuing services:

  • ActiveMQ
  • RabbitMQ
  • Beanstalkd
  • IronMQ
  • Amazon SQS
  • Apache Kafka
  • Resque
  • ZeroMQ
  • Sidekiq

List of web browsers:

  • Internet Explorer
  • Chrome
  • Firefox
  • Safari
  • Opera

List of relational databases:

  • MySQL
  • PostgreSQL
  • Oracle
  • MSSQL
  • Microsoft Access
  • SQLite

List of document databases:

  • Apache Cassandra
  • MongoDB
  • CouchDB

But, the differences between NoSQL databases are much bigger than ever was between one SQL database and another. This means that it is a bigger responsibility on software architects to choose the appropriate one for a project right at the beginning.

I want to be able to create large tables like the link above, using our data.

An interesting site with a similiar (although not identical) goal: http://stackshare.io/

A list of machine learning algorithms, compared: http://rayli.net/blog/data/top-10-data-mining-algorithms-in-plain-english/ I like this example because each algorithm is briefly described for it's important qualitities.

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