An incredible variety of mobile phones and tablets exist in the world today and new models are announced continuously. All these mobile devices have different specifications and capabilities, which can be a problem for developers creating mobile apps. Tablets have large screen sizes, but don’t necessarily include cellular data, default color sets vary by phone manufacturer, and built-in mobile features may behave differently in each mobile operating system. Fortunately, the MobileTogether Designer provides an integrated development environment that lets users quickly design and build cross-platform mobile app features ideally suited to each end-user’s device.
Tags: app development, mobile development, MobileTogether
“We need an app for that.”
This simple declaration carries with it underlying implications that can be anything but simple to implement: an app must be available for all devices, it must delight end users – and it must be ready yesterday.
As the need for mobility in data centric apps has increased, so has the number of products claiming to provide the best in cross-platform mobile development. But how can you cut through the flowery marketing claims? We’ve put together a list of the top 10 criteria for choosing a mobile development framework.
Tags: cross-platform mobile development, GPS apps, mobile development, MobileTogether, REST Services
MobileTogether empowers developers to populate mobile apps with information retrieved from external sources via REST and SOAP Web services, and consume the data received whether it is XML, JSON, or HTML. MobileTogether support for both REST and SOAP provides mobile app developers with access to vast online data resources for a wide range of applications.
Tags: Baseball, Cloud SQL, Database, Google Cloud SQL, Lahman's Baseball Database, SQL
Google recently announced their next generation of managed MySQL offerings on Cloud SQL, so we wanted to take it for a spin and create a cloud-based SQL database that we could then utilize as the back-end for mobile apps, or even for advanced data analytics from our desktop.
According to Google, the two principal goals of the second generation of Cloud SQL were better performance and scalability per dollar. It seems that they succeeded in these goals: the second generation Cloud SQL is more than seven times faster than the first. And it scales to 10TB of data, 15,000 IOPS, and 104GB of RAM per instance — well beyond the first generation. So it looks like the ideal, scalable cloud-based database back-end for mobile apps.