Interesting: It seems twitter now does see distributing their data as a valid businessmodel (before they 'outsourced' this to DataSift and Gnip). Wonder what it will mean for the other sources Gnip has, and for the customers of Datasift.
I've often wondered if there's any hidden terminology in some of these press release, eg:
"<a href="http://venturebeat.com/2014/04/15/twitter-buys-gnip-taking-ownership-of-the-top-source-of-twitter-data/"" rel="nofollow">http://venturebeat.com/2014/04/15/twitter-buys-gnip-taking-o...</a><p>"To that end, we have agreed to acquire Gnip" - I'm wondering for example if the "agreed to acquire Gnip" means that Twitter doesn't see this as a high-value acquisition on the same level as Crashlytics or Mopub.
I guess that makes Twitter data cheaper than before? Last time when I contacted them for one week of worth tweets (with some filters on top) they wanted me to pay tens of thousands dollars. I ended up crawling the data myself.
Interesting, I had gotten the impression Twitter was aligning itself more with DataSift in recent years. I used Gnip a few years ago and thought it was a great service, although the high price point drove us to ultimately roll our own.
Not surprising to see Twitter finally acquire Gnip after working with them for four years. A great achievement for the team at Gnip, and will be interesting to watch the data model they intend on developing with Gnip as time goes on.
Sorry, off topic, but:<p>Question: is Twitter's free "garden hose" sampled data stream still available?<p>I used to use the small garden hose sample of near real time tweets. I just tried running an old script to fetch the garden hose and it didn't work.<p>On topic: I thought that the Gnip business model was interesting, and I can't help but think that the other data sources that Gnip processes and resells may not like this aquisition.