Spark for Mac OS X 2.8.3

Spark is an Open Source, cross-platform IM client optimized for businesses and organizations. It features built-in support for group chat, telephony integration, and strong security. It also offers a great end-user experience with features like in-line spell checking, group chat room bookmarks, and tabbed conversations.

Combined with the Openfire server, Spark is the easiest and best alternative to using un-secure public IM networks. ...

Author Jive Software
License Open Source
Price FREE
Released 2017-01-29
Downloads 268
Filesize 94.90 MB
Requirements
Installation Instal And Uninstall
Keywords cross-platform IM, IM client, group chat, IM client, cross-platform, chat
Users' rating
(5 rating)
Spark for Mac OS XChat & Instant MessagingMac OS X
Spark for Mac OS X eater - Download Notice

Using Spark for Mac OS X Free Download crack, warez, password, serial numbers, torrent, keygen, registration codes, key generators is illegal and your business could subject you to lawsuits and leave your operating systems without patches. We do not host any torrent files or links of Spark for Mac OS X on rapidshare.com, depositfiles.com, megaupload.com etc. All Spark for Mac OS X download links are direct Spark for Mac OS X full download from publisher site or their selected mirrors.
Avoid: eater oem software, old version, warez, serial, torrent, Spark for Mac OS X keygen, crack.
Consider: Spark for Mac OS X full version, eater full download, premium download, licensed copy.

Spark for Mac OS X eater - The Latest User Reviews

Most popular Chat & Instant Messaging downloads

Spark for Mac OS X

2.8.3 download

... we can't complain that Spark is a resource eater because it's not. It runs smooth and easy, so it probably does the same on older machines too. So all ...

Spark for Windows

2.8.3 download

... we can't complain that Spark is a resource eater because it's not. It runs smooth and easy, so it probably does the same on older machines too. So all ...

Spark for Linux

2.8.3 download

... we can't complain that Spark is a resource eater because it's not. It runs smooth and easy, so it probably does the same on older machines too. So all ...