Performing a calculation on a group of database objects may be a complex task. For example, to calculate the sum of all orders for a customer would require retrieving all that customer’s orders then iterating over them to calculate the mathematical sum of all amounts. This was yesterday! As of Backendless 4.4.0, you can use aggregate functions…

Data retrieval in Backendless has gotten significantly more powerful with the release of version 4.2.0. We added support for subquery into the syntax of whereClause. The improvement allows your apps to run two queries in the context of one request. The first query identifies a set of objects which is fed into the second query. Consider the following…

We conducted a webinar titled “Backendless Core Concepts” for ex-Parses last week. A recording of the webinar is now available. The video should be helpful not only if you’re coming from Parse, but for anyone who is starting their journey with Backendless. The webinar reviewed the concepts of Backendless User Management and Data services. Specifically,…

I am very happy to report that we released a new version of Backendless. The new release is tagged as version 1.9.0, which is a new numbering scheme for us – we used to label releases with names attached to various events. The new release is packed with features, improvements and bug fixes. I’d like…

This article reviews the APIs for working with relational persistent data in Backendless. By the end of the article, you will have a working application which demonstrates various mechanisms for loading related data objects from the backend-as-a-service data store. To avoid any terminology confusion or overlap, let’s define related data as multiple objects referencing one…