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BaaS platforms abstract many of these tasks through standardized and readily available services. They offer pre-configured modules for these tasks, accessible via simple interfaces. This allows developers to focus on the core application logic and user experience, rather than dealing with complex backend setups. This not only saves time and money but also reduces the risk of errors in security-critical areas. Additionally, teams benefit from integrated scaling mechanisms and automated maintenance, ensuring a stable and resilient system architecture even with rapid user growth.
The use of BaaS brings with it many advantages, but also some risks. A key problem is the dependency on the provider: choosing a platform often means becoming deeply tied to its interfaces and data models switching later is complex and costly. Furthermore, customization options are limited. Complex requirements or specific security measures are often impossible to implement.
Data protection aspects also require critical consideration. Despite GDPR compliance, the application operator remains responsible, especially regarding sensitive data. Another risk lies in potentially rising costs with increasing usage many services bill API access or storage space separately. Finally, BaaS also means a loss of control; security vulnerabilities or outages on the provider's side directly impact the application. Those requiring maximum control should carefully weigh the pros and cons.
To summarize the arguments: Using a BaaS (Building as a Service) is particularly beneficial for dynamic, digitally savvy projects where development speed, scalability, and low maintenance are paramount. For larger companies with specific compliance or integration requirements, however, operating their own servers (e.g., in a private cloud ) may be more advantageous. The decision should always be based on criteria such as budget, project size, security requirements, and resource availability.
BaaS providers
There are numerous established BaaS providers, each with different focuses and suited to various application scenarios. Among the best-known is , , , and other specialized platforms, such as .
Let's take a look at this BaaS and then consider, as an example, its setup and use from the perspective of a software developer:
Firebase is a Database as a Service (BaaS) provided by Google that offers a NoSQL database (Cloud Firestore and Realtime Database), user authentication, cloud features, push notifications, and hosting for static web applications. Its key features include integrated real-time synchronization and tight integration with other Google services. Firebase is well-suited for highly interactive mobile and web applications, especially those requiring real-time functionality.
AWS Amplify is the BaaS solution in the Amazon ecosystem. It combines services such as authentication, databases (e.g., DynamoDB), GraphQL APIs, hosting, and storage. Amplify is particularly aimed at developers who want to build scalable applications on AWS and automate the management of as many backend components as possible.
Supabase is based on PostgreSQL as its relational database. It offers authentication, real-time functionality, storage, and an SQL-based API. Supabase is aimed at developers who prefer a classic SQL structure but don't want to forgo the convenience features of modern BaaS.
StellarDS is a European BaaS provider specializing in structured, table-based data storage. Unlike many other services, StellarDS uses a relational data model where data is organized in freely definable tables with user-defined fields. The platform provides a REST / JSON API and SDKs for various programming languages, currently JavaScript, TypeScript, .NET, Python, and Delphi, enabling users to create, read, update, and delete data. Key features include role-based access control, multi- tenant support, OAuth2 authentication, metadata management via a web dashboard, and the ability to store both structured and unstructured data. The platform is primarily aimed at developers who rely on a classically structured data model with clear access control and want to comply with European data protection standards (GDPR). It is well-suited for data-driven web and business applications where transparency, structure, and data protection are paramount. Backendless offers both NoSQL and relational database functionality, user management, push notifications, server-side logic, and a visual backend dashboard. The service emphasizes high customizability and also allows visual app development via an integrated UI tool.
These providers cover typical BaaS functionalities to varying degrees. Choosing the right service depends heavily on requirements regarding data model, scalability, real-time performance, integration capabilities, and cost structure.