In 2020, we released the Transaction API as one of our built-in API services. The purpose of transactions is to protect your data from partial database updates that fail to complete. The Transaction API is now available for Codeless.

Views for Backendless Database now include a built-in REST Console for composing REST API queries that fetch data from your Views. You can also now import and export your Views.

Your API endpoints and published app’s URL are now much simpler and more visually appealing with custom subdomains for all Backendless apps. Not only that, but your app ID and API key are now much better protected.

Any time you entrust your data to a third-party vendor, the most important concern on your mind is going to be data security. New roles-based column visibility adds an easy way to protect certain sets of data from users that should not see sensitive data.

Backendless is perhaps the most powerful and versatile visual database on the market. Not only that, but Backendless Database is the only visual no-code database that offers relational data. But if you have 1-to-1 data relations, don’t you want to see what the related object is? Now you can!

In business, data is invaluable. To get the most out of your data, you need to be able to dig in and understand relationships between data points. Breadcrumbs help facilitate this exploration of relationships between objects.

With the release of Backendless version 6.4, we have added an exciting new collaboration feature: comments in Backendless Console. With this new feature, you can share suggestions and ask questions of the Backendless community.

Introduction We’re all looking to streamline app development. Backend development in particular is a clear point where efficiency is key because improper code can slow down you app and affect all users equally. One of the best ways to speed up backend development without risking creating problematic code is…

Views in Backendless Console are a powerful way to explore your data visually by composing datasets of related records in less time than writing queries.