Save money reducing by 300% the bandwidth and the time necessary to send the web pages to the final users. Modelled for today dynamic pages, providing blazingly fast speed and small cost, it's a "must have" for every IIS.
Version: 1.0Save money reducing by 300% the bandwidth and the time necessary to send the web pages to the final users. Modelled for today dynamic pages, providing blazingly fast speed and small cost, it's a "must have" for every IIS.
License: Free To Try $119.00
Operating System: Windows
Compress Content benchmark shows that it's 300% faster versus other market solutions on serving dynamic content as ASP.NET.
Anti Profanity filter provide realtime seeking and replacement of the words defined in a freely editable dictionary (available in many languages). Filter all documents with Anti Profanity Content without noticeable overhead in your web throughput.
Save money reducing the bandwidth of your dynamic service.
Compress in realtime the documents sent serving the internet requests.
Enhance the user experience reducing the time necessary to display the web pages.
Do all at blazingly fast speed with 100% reliability and small system overhead.
Compress Content is conceived and optimized for the realtime compression of the result of the application programming backend as ASP.NET. The market solutions usually don't compress the output produced by backends, because this involves in a somewhat important penalty over CPU and efficiency. Unfortunately, today the large part of web sites is powered by a dynamic engine; it's enough to imagine a common web information system, a blog, a forum, a CRM: almost everything it's the result of a programming backend. Compress Content is made to satisfy the requirements of today web sites, where the logic and complexity are committed to a programming backend, and where the mission critical services can mount only a 100% reliable QA modelled software with highest efficiency as possible.
Compress Content works using an enhanced implementation of Zlib public library compiled with a highly efficient closed Runtime Library that targets an optimized use of the modern cpu superscalar pipeline offering a 300% speedup versus prior-art.