#metamarkets

Sources: Snap has acquired Metamarkets for less than $100M to step up its ad tech play

Herein lies the dirty secret about most data scientists' work -- it's more data munging than deep learning. The best minds of my generation are deleting commas from log files, and that makes me sad. A Ph.D. is a terrible thing to waste.

Metamarkets CEO Mike Driscoll has a clear view of where the software world is headed, and he thinks his company is one of many helping take it there. Essentially, it’s a world where applications are delivered as cloud services, and infrastructure technologies become commodities, often created and then open sourced by the companies building those applications.

A complex technological backbone underlies Metamarkets’ application. The service processes data as it becomes available, queries it with Metamarkets’ Druid open-source streaming data store, and then visualizes the results. Last week Metamarkets announced that it was doing away with Druid’s GPL license and giving it a more permissive Apache license. The move should encourage more companies to build on top of the technology. To date companies like eBay, PayPal, Netflix, and Time Warner Cable have put Druid into production, Driscoll said.

Metamarkets is a real-time analytics platform for the digital advertising space that gives programmatic marketplaces, buyers, and sellers the ability to visualize trends as they happen and the freedom to focus on building deeper client relationships instead of software.

Product Manager's Tool Belt: Products I Love.

Online marketing shop MetaMarkets takes another $5M

Big Data reflects today’s world where data generating events are measured in the billions and business decisions based on insight derived from this data is measured in seconds. There are few tools that provide deep insight into both live and stationary data as business events are occurring; Druid was designed specifically to serve this purpose. If you’re not familiar with Druid, it’s a powerful, open source, real-time analytics database designed to allow queries on large quantities of streaming data – that means querying data as it’s being ingested into the system (see previous blog post). Many databases claim they are real-time because they are “real fast;” this usually works for smaller workloads or for customers with infinite IT budgets. For companies like Netflix, whose engineers use Druid to cull through 70 billion log events per day, ingesting over 2 TB per hour at peak times (more on this in a later blog post), real-time means they have to query data as it’s being ingested into the system.