February 6, 2012

Sumo Logic and UIs for text-oriented data

I talked with the Sumo Logic folks for an hour Thursday. Highlights included:

What interests me about Sumo Logic is that automated classification story. I thought I heard Sumo Logic say:

I have a little trouble seeing how all those points fit exactly together, so perhaps I got some details wrong.

The payoff is that machine learning directly informs the Sumo Logic user interface. In particular, large numbers of events are bundled into a small number of categories, hopefully making it much easier for network operations types to scan the UI and pick out what’s important.

In general, the idea of machine-learning informing analytic UIs via some sort of classification is common in text-oriented technologies, notably in:

But otherwise it seems kind of rare, if we stipulate that ad-serving/general internet personalization isn’t really an analytic UI — but I’d love to hear of any interesting examples I’ve overlooked.


7 Responses to “Sumo Logic and UIs for text-oriented data”

  1. Jim on February 6th, 2012 3:37 pm


    What is the unit for “single to low double digits of log data per day”? Is it GB?

  2. Curt Monash on February 6th, 2012 3:59 pm


    Ack! Thanks! Yes! Fixed.

  3. Applications of an analytic kind : DBMS 2 : DataBase Management System Services on February 11th, 2012 8:32 pm

    […] analyzer Sumo Logic probably doesn’t rely on an off-the-shelf machine learning […]

  4. Andrew Lee on November 30th, 2012 3:42 pm

    “Sumo Logic’s main differentiation is automated classification of events.”

    – Is this a comparison to Splunk?

    How else does it differ? More dependence on machine learning techniques?

  5. Curt Monash on November 30th, 2012 5:53 pm

    I haven’t talked with Sumo Logic for a while. Their last PR pitch was a generic “Golly gee whiz big data SaaS cloud” piece of nonsense; if they actually enhanced the offering in interesting ways, they did a good job of covering it up.

  6. El Peralta on July 2nd, 2013 4:40 pm

    If you’re interested in Sumo you can always contact them directly 🙂 Sumo has more differentiators on their backend–“elastic log processing” for scaling without performance implications, machine learning and native anomaly detection technology, dashboards which run off of continuous queries for auto-updating, etc. The cloud marketing “nonsense” has room for improvement 🙂

  7. Splunk engages in stupid lawyer tricks | DBMS 2 : DataBase Management System Services on November 25th, 2015 9:14 am

    […] are apt to backfire instead. Splunk seems to actually have had some limited success intimidating Sumo Logic. But it tried something similar against Rocana, and I was set up to potentially be collateral […]

Leave a Reply

Feed: DBMS (database management system), DW (data warehousing), BI (business intelligence), and analytics technology Subscribe to the Monash Research feed via RSS or email:


Search our blogs and white papers

Monash Research blogs

User consulting

Building a short list? Refining your strategic plan? We can help.

Vendor advisory

We tell vendors what's happening -- and, more important, what they should do about it.

Monash Research highlights

Learn about white papers, webcasts, and blog highlights, by RSS or email.