UPDATED 08:28 EST / MAY 26 2013

Big Data Review: Mobile Development and Funding

Last week Appcelerator announced a mobile development platform that taps into Big Data to deliver enterprise-grade functionality, and Orchestrate.io raised $3 million for its data integration API. Alteryx received $12 million for its own analytics solution, a data visualization platform that makes insights easily accessible for business users who do not possess any programming skills.

The new Appcelerator Platform features an integrated development environment, a web design tool called Alloy and two analytical solutions. The offering also includes a set of pre-packaged capabilities that developers can bolt onto their apps to save time and money. This bundle includes push notifications, an authentication app and a data integration service that automatically connects to backend systems such as Oracle, SAP and Salesforce.com.

Most enterprise environments today consist of a wide variety of different (and often isolated) solutions that are difficult to manage and even more difficult to integrate. Orchestrate.io, an ambitious new startup based in Portland, raised $3 million in seed capital from True Ventures, with Frontline Ventures and Resonant Venture Partners, to address this challenge.

Orchestrate.io offers a pay-as-you-go solution that abstracts the database layer to reduce the overhead associated with managing multiple systems. Users simply sign up for the service and integrate the API into their code.

SiliconAngle Senior Managing Editor Kristen Nicole explained in an interview that the startup is trying to “commoditize data management.” For this reason it poses a huge threat to the traditional database market, which generates more than $100 billion a year according to Orchestate.io founding CEO Antony Falco.

The company’s seed funding round was announced a couple days after Alteryx raised $12 million from SAP Ventures and Toba Capital. The company’s flagship product is a data aggregation and visualization platform that is simple enough for analysts to use.


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