October 29, 2012

Introduction to Continuuity

I chatted with Todd Papaioannou about his new company Continuuity. Todd is as handy at combining buzzwords as he is at concatenating vowels, and so Continuuity — with two “U”s —  is making a big data fabric platform as a service with REST APIs that runs over Hadoop and HBase in the private or public clouds. I found the whole thing confusing, in that:

But all confusion aside, there are some interesting aspects to Continuuity.

Continuuity company basics include:

Continuuity’s software wants to be in the same cluster as Hadoop, optionally on the same nodes. Beyond that, its technology story starts:

Also included is a durable alternative to Storm or S4 for handling input streams, running in the same stack as everything else.

Continuuity’s (current?) application focus is on “closed-loop” customer intelligence apps — I presume in human real-time —  much as might be the case for WibiData (to which Continuuity views itself as potentially complementary rather than competitive). This could include rescoring of predictive models (but of course not remodeling). While we didn’t get into much detail, Todd’s views of the demands there didn’t sound inconsistent with, for example, what might be suggested by SAS.

Bottom line: Continuuity is probably doing something useful, but it’s so oversold right now I can’t figure out who actually should adopt it.


7 Responses to “Introduction to Continuuity”

  1. Al DeLosSantos on October 29th, 2012 9:32 am

    Curt, thank you for your DBMS2 blog. Your posts, the dialogues and the links are helpful to folks like me trying to sort out the data management and business intelligence space… Regards, Al D.

  2. Curt Monash on October 29th, 2012 11:08 am

    Thanks for the kind words, Al!

  3. Marco S. Casalaina on October 30th, 2012 2:24 pm

    Ah, the blunt commentary is so refreshing! I can’t quite figure out what Continuuity does either (although your Heroku comparison seems apt). Have you seen what Precog is doing? On the surface at least it seems like a similar concept, although perhaps better explained. Better company name, too.

  4. Todd Papaioannou on October 30th, 2012 5:15 pm

    Hi Curt,

    Thanks for taking the time to chat with us the other day.

    As to who might benefit from using our platform: if you’re a developer who wants to build a data app that ingest signals or events in (as you say) “human real-time”, analyze and process those signals with your own code, and then take actions on or query your results (e.g. deal targeting, sentiment analysis, scoring/ranking, user modeling, ad optimization, personalization) BUT doesn’t want to deal with any of the low level infrastructure complexity of the Hadoop stack, but still benefit from the power, then we can help. We give you the tools to build the app, and a platform where you can deploy and run your app.

    For more details as to what’s under the hood, check out this page:

    Re: the cloud buzz words. Well, we are a cloud company and that industry does use those words to distinguish products. Much like the DBMS industry might use SMP, MPP, CEP to distinguish data products. Good feedback though, we’ll be sure to tone down the buzz words for you going forward 😉


  5. Notes and comments — October 31, 2012 | DBMS 2 : DataBase Management System Services on October 31st, 2012 4:56 am

    […] 3. Todd Papaioannou added a comment summarizing the Continuuity story. […]

  6. Real-time confusion | DBMS 2 : DataBase Management System Services on November 5th, 2012 1:24 pm

    […] WibiData and now also Continuuity are building stacks on top of Hadoop/HBase to help with […]

  7. Cask and CDAP | DBMS 2 : DataBase Management System Services on March 5th, 2015 10:00 am

    […] Partly for that reason, I was unimpressed by Continuuity’s original hype-filled positioning. […]

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