UPDATED 08:00 EDT / MARCH 30 2015

It's A Big Data World with SiliconANGLE NEWS

What you missed in Big Data: Tapping the connected universe

network of lights city big dataThe analytics discussion shifted from the data coming off connected devices to the data stored inside those devices last week after Realm Inc. raised $20 million in a second round of funding for its embedded object store. The landmark investment tops off nine months of remarkable growth.

That short period has seen the startup’s lightweight system end up in over 100 million smartphones, tablets and wearables on the back of explosive adoption among app developers drawn to its simplicity. The appeal lies in the store’s ability to handle information using fewer lines of code, which not only saves time but also helps accommodate the limitations of mobile hardware.

Yet the challenges of manipulating data in Android and iOS environments are still dwarfed by the difficulty of implementing the same functionality on emerging breeds of connected devices that have only a fraction of the computational capacity. Facebook’s development unit hopes to take some of the hassle out that task with a series of new programming interfaces for embedded processors.

The first implementation in the series launched the day after Realm’s funding to help collect telemetry data off systems based on the  Arduino Yún, an emerging alternative to the Raspberry Pi commonly used in connected appliances. Facebook  hopes to ultimately provide a standardized way of aggregating data from various smart gadgets.

That is essential for analytic applications in segments such as manufacturing that involve numerous different kinds of devices, a use case that inched closed towards the mainstream last week after Apple Inc. picked up an emerging database vendor called FoundationDB for an undisclosed sum.

The key-value store, which is one of the few in its category that lives up to the same standard of reliability as traditional relational systems, has been built with connected devices in mind. The latest version recently demonstrated the ability to execute more than 14 million writes per second, which should allow Apple to ingest the real-time streams of data coming off its devices much more smoothly.


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