Obviously we have some understanding on the concepts of pushing and polling of data from service endpoints since we basically founded a company on the premise that the world needed a middleware push data service. Over the last year we have had a lot of success with the push model, but we also learned that for many reasons we also need to work with services via a polling approach. For this reason our latest v2.1 includes the Gnip Service Polling feature so that we can work with any service using push, poll or a mixed approach.
Now, the really great thing for users of the Gnip platform is that how Gnip collects data is mostly abstracted away. Every end user developer or company has the option to tell Gnip where to push data that you have set up filters or have a subscription. We also realize not everyone has an IT setup to handle push so we have always provided the option for HTTP GET support that lets people grab data from a Gnip generated URL for your filters.
One place where the way Gnip collects data can make a difference, at this time, for our users is the expected latency of data. Latency here refers to the time between the activity happening (i.e. Bob posted a photo, Susie made a comment, etc) and the time it hits the Gnip platform to be delivered to our awaiting users. Here are some basic expectation setting thoughts.
PUSH services: When we have push services the latency experience is usually under 60 seconds, but we know that this is not always the case sense sometimes the services can back-up during heavy usage and latency can spike to minutes or even hours. Still, when the services that push to us are running normal it is reasonable to expect 60 second latency or better and this is consistent for both the Community and Standard Edition of the Gnip platform.
POLLED services: When Gnip is using our polling service to collect data the latency can vary from service to service based on a few factors
a) How often we hit an endpoint (say 5 times per second)
b) How many rules we have to schedule for execution against the endpoint (say over 70 million on YouTube)
c) How often we execute a specific rule (i.e. every 10 minutes). Right now with the Community edition of the Gnip platform we are setting rule execution by default at 10 minute intervals and people need to have this in mind with their expectation for data flow from any given publisher.
Expectations for POLLING in the Community Edition: So I am sure some people who just read the above stopped and said “Why 10 minutes?” Well we chose to focus on “breadth of data ” as the initial use case for polling. Also, the 10 minute interval is for the Community edition (aka: the free version). We have the complete ability to turn the dial and use the smarts built into the polling service feature we can execute the right rules faster (i.e. every 60 seconds or faster for popular terms and every 10, 20, etc minutes or more for less popular ones). The key issue here is that for very prolific posting people or very common keyword rules (i.e. “obama”, “http”, “google”) there can be more posts that exist in the 10 minute default time-frame then we can collect in a single poll from the service endpoint.
For now the default expectation for our Community edition platform users should be a 10 minute execution interval for all rules when using any data publisher that is polled, which is consistent with the experience during our v2.1 Beta. If your project or company needs something a bit more snappy with the data publishers that are polled then contact us at email@example.com or contact me directly at firstname.lastname@example.org as these use cases require the Standard Edition of the Gnip platform.
Current pushed services on the platform include: WordPress, Identi.ca, Intense Debate, Twitter, Seesmic, Digg, and Delicious
Current polled services on the platform include: Clipmarks, Dailymotion, deviantART, diigo, Flickr, Flixster, Fotolog, Friendfeed, Gamespot, Hulu, iLike, Multiply, Photobucket, Plurk, reddit, SlideShare, Smugmug, StumbleUpon, Tumblr, Vimeo, Webshots, Xanga, and YouTube