Big Data companies

[Alexey Kharlamov]

Hello!

Are there Big Data startups in Australia? So far I have found 4 companies and 3 of them are large financial institutions. 

Any advise would help.

Thanks in advance

[Stephen Young]

http://graphbase.net

We're more "complex data" than "big data", but if you mean more data than you can handle in Oracle/MySQL/SQL Server then Yes, we're a Big Data startup.

Off the top of my head Kaggle and Contexti might also fit your criteria.

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Stephen Young

CEO: factnexus.com

Architect: graphbase.net

61 2 9904-5882 (AU)   61 416-000-178 (Mob)  1 415 690-8639 (US)

[Tom Adams]

I know of at least one other company dealing in large data sets, they do transport modelling. I helped them build a system for this circa 2008.

What is this for?

Tom

tom adams
e:tomjadams<at>gmail.com

[David Jones]

Quantium (acquired by Woolies)

Ambiata (NICTA spinout)

[Craig Stump]

A friend of mine runs http://engineroom.io/ - works with massive data sets for finance, seismology, government, etc.

[Michael Stone]

I'm CEO of Amethon Solutions which is headquartered in Sydney with most of our development resources based in Melbourne.

We have developed an analytics platform for mobile operators which provides insight into mobile data traffic passing through their network. Our platform is a streaming analytics solution which analyses traffic meta-data generated by network nodes such as proxies, DPIs, gateways, etc and reports data usage (upload and download), latency and subscriber numbers across a range of different dimensions e.g.

• handset brand/model, 
• smartphone operating system,
• mobile apps
• form factor (tablet, handset, console) 
  

Our input data is in the order of 5 to 10 billion events/rows per day (300GB to 600GB of binary files) which is also generally generated in different parts of the country (think Sydney, Melbourne and Brisbane).

One of our key features is our ability to count unique subscribers/visitors across all of the dimensions we report (handset brand/model, visited sites, mobile apps, etc) across any arbitrary date range. 

Everything was developed in-house on top of PostgreSQL with the exception of the visualisation layer (dashboarding, charts, reporting, etc) which is based on Yellowfin (another Australian company). We've looked at Hadoop and columnar databases but nothing could handle the traffic volumes and deliver near real-time reporting on a relatively small and cost-effective HW footprint...

Cheers,

Michael

On Wednesday, 5 March 2014 05:47:01 UTC+11, Alexey Kharlamov wrote:

[Hamish Ogilvy]

http://www.sajari.com

We're work on our own "personalised search" and recommendations engine. It's somewhat a cross between elasticsearch.com and gravity.com, but with lots of additional benefits, like built in document classification (naive bayes and random forests so far, neural nets in dev).

In terms of data size, the biggest we've done is the US patent database, which is pretty large (~500 million pages of text). It can be set up as a distributed set of nodes, so data size is not really an issue, but we rarely find data sets that need more than a single node. I'm in the process of putting the wikipedia data set up as a demo, even that is only 47GB, which fits in a single node... 

On Wednesday, 5 March 2014 05:47:01 UTC+11, Alexey Kharlamov wrote:

[Marc Englaro]

A friend of mine Zach Zeus runs the Australia distributor/partner for Pentaho.  (www.bizcubed.com.au)  They're not a "tech startup" per se, but are a startup services business that work with big data every day. 

Marc

On Wednesday, March 5, 2014 5:47:01 AM UTC+11, Alexey Kharlamov wrote:

[Alexey Kharlamov]

Thank you all. I am actually looking for a job in big data space. 

[Tom Adams]

Ah, cool, good luck!

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[David Jones]

In that case, take a look at ThreatMetrix and ping me off list with your linkedin profile if your interested. The data is big but not in this way: http://www.pinterest.com/pin/101753272804937744/

[Soo-Han Kim]

Hi Alexey. I work at Contexti and we focus on building Big Data platforms for enterprise. I'll send you an email if you'd like to get in touch.

On Sunday, March 9, 2014 11:23:16 PM UTC+11, Alexey Kharlamov wrote: