- Apache HTTP Server
- Apache Tomcat
- Jetty
- lighthttpd
- Nginx
- Microsoft's Internet Information Services (IIS) Windows Server
- Elastic Search
- Solr
- Sphinx
- Apache Lucene
- Nutch
Useful for reference on this topic: http://solr-vs-elasticsearch.com/
- ActiveMQ
- RabbitMQ
- Beanstalkd
- IronMQ
- Amazon SQS
- Apache Kafka
- Resque
- ZeroMQ
- Sidekiq
- Internet Explorer
- Chrome
- Firefox
- Safari
- Opera
- MySQL
- PostgreSQL
- Oracle
- MSSQL
- Microsoft Access
- SQLite
- 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.