Big Data. Big Decisions
InformationWeek
Special Coverage Series


Ansca Mobile Debuts Corona SDK For Windows

Windows programmers have a new way to create Android apps without Java.

Ansca Mobile on Tuesday plans to release a beta version of its Corona SDK mobile development framework for Microsoft Windows, thereby allowing Windows developers to create Android applications without the complexity of Java.

Corona SDK apps are written in Lua, a lightweight, easy-to-learn scripting language used in Adobe Lightroom and in many commercial games. The framework provides almost 500 APIs through which sophisticated, graphically-oriented apps, particularly though not exclusively 2D games, can be created.

Windows developers will be able to reuse their Android code to create mobile apps that run on iOS devices like Apple's iPhone, though completing an iOS app build requires the Mac OS version of Corona SDK and Apple hardware.

Ansca Mobile co-founder and CEO Walter Luh expects that the Windows version of Corona SDK will significantly expand the Corona developer community and help make mobile development more accessible.

As an indicator of just how accessible Corona SDK has made mobile development, consider Utah-based eight-grader Robert Nay, who used Ansca Mobile's software to create Bubble Ball, a game that recently was the most downloaded free iPhone app and has been downloaded over 5 million times.

Matthew Pringle, a developer based in the U.K., said in an e-mail that despite the limitations of the Windows version of Corona SDK -- specifically the need for a Mac version of the software and a Mac OS X computer to complete an iOS build -- he nonetheless sees value in bringing Windows programmers into the fold.

"Not all programmers are comfortable developing on a Mac," he said in an e-mail. "... [Corona SDK for Windows] allows teams to be built around the software and hardware they are most comfortable with."

Pringle says he's also encouraged by the growth of the Android platform. "I used to ignore it as a potential market given its complexities, but as Android matures and the manufacturers build ever more complex phones and tablets, I see a real advantage in being able to easily publish Android apps," he said.

Corona SDK has built a following of around 32,000 developers because it simplifies the creation of mobile app code that can be compiled for both iOS and Android devices. A variety of similar tools are available, including Appcelerator Titanium, Rhomobile Rhodes, PhoneGap, and Unity3D, though these products tend to appeal to different developer segments, such as enterprise mobile applications, 3D game designers, or developers who want to use Web technologies. Corona SDK is more like a leaner version of Adobe's Flash platform, meaning that it's particularly well-suited for 2D games, as well as graphically-oriented business applications and utilities.

Ansca Mobile also plans to introduce new subscription options. Corona SDK is free to download. Once developers are ready to publish their apps to Apple's iTunes App Store or Google's Android Market, they're required to purchase a subscription: a $199 per year "indie" subscription that can be either iOS-only or Android-only, or a $349 per year "pro" subscription for both iOS and Android builds.

Finally, Ansca Mobile is updating the Corona SDK with additional features including in-app purchase support for iOS, Asynchronous HTTP, Bitmask Masking, and additional physics engine capabilities.



Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.