I'm build an android application with Kinvey platform back-end,with BusinessLogic to be based on Google App Engine - using the recent integration between Google and Kinvey -
我正在使用Kinvey平台后端构建一个Android应用程序,BusinessLogic将基于Google App Engine - 使用Google和Kinvey之间最近的集成 -
My question is that would it be better - faster, cheaper & more effecient - to use Kinvey OOTB datastore collection, or should I implement the data model layer of the application with Google Cloud Datastore ?! and if I started with Kinvey now, would it be easy to migrate later to Google Cloud Datastore upon need ?!
我的问题是,使用Kinvey OOTB数据存储集合会更好,更快,更便宜和更有效吗?或者我应该使用Google Cloud Datastore实现应用程序的数据模型层?如果我现在开始使用Kinvey,是否可以根据需要稍后迁移到Google Cloud Datastore?
Thanks
1 个解决方案
#1
0
I think we'd need a bit more detail about how you're designing your application to answer this for you...
我想我们需要更详细一些关于你如何设计你的应用程序来为你解答这个问题...
If you're using App Engine for your application logic, it stands to reason that you might want to store your data there too (this let's you do things like... offline operations on data using an App Engine module). If you do that, you'll have to write your own API handlers on App Engine to process requests from your mobile app.
如果您正在将App Engine用于您的应用程序逻辑,那么您可能还希望将数据存储在那里(这样您就可以使用App Engine模块对数据进行脱机操作)。如果您这样做,则必须在App Engine上编写自己的API处理程序,以处理来自移动应用程序的请求。
Hope that helps, feel free to delete if not.
希望有所帮助,如果没有,请随时删除。
#1
0
I think we'd need a bit more detail about how you're designing your application to answer this for you...
我想我们需要更详细一些关于你如何设计你的应用程序来为你解答这个问题...
If you're using App Engine for your application logic, it stands to reason that you might want to store your data there too (this let's you do things like... offline operations on data using an App Engine module). If you do that, you'll have to write your own API handlers on App Engine to process requests from your mobile app.
如果您正在将App Engine用于您的应用程序逻辑,那么您可能还希望将数据存储在那里(这样您就可以使用App Engine模块对数据进行脱机操作)。如果您这样做,则必须在App Engine上编写自己的API处理程序,以处理来自移动应用程序的请求。
Hope that helps, feel free to delete if not.
希望有所帮助,如果没有,请随时删除。