Donnez vie à des applications et agents plus intelligents avec des données connectées

La couche de virtualisation crée une représentation uniforme des données, quel que soit leur format d’origine. Les informations sont mappées en entités et attributs standardisés, facilitant leur manipulation et permettant la création d’agrégats et de listes cohérentes pour toutes les sources.

En centralisant les données dans un référentiel unique, la plateforme simplifie leur recherche et leur exploitation. Les ensembles de données personnalisés et réutilisables permettent d’adapter les données aux besoins spécifiques de chaque équipe et de gérer les accès selon les rôles. Cela offre une vue unifiée et un accès sécurisé pour les équipes et responsables informatiques.

Tant qu’aucun changement majeur n’est effectué sur les systèmes externes (suppression d’entités, modification des identifiants), les connexions restent actives et fiables. Toutes les informations de connexion sont stockées en toute sécurité, assurant un accès fluide sur le long terme.

Ils permettent de combiner des données issues de différentes sources pour répondre aux besoins spécifiques d’une ligne métier. Par exemple, une application 360° pour une équipe commerciale peut intégrer des données de Salesforce, SAP ou d’autres systèmes, prêtes à être utilisées et réutilisées facilement dans d’autres applications.

Data Fabric agit comme une passerelle de données qui standardise et transforme les informations provenant de sources diverses. Lorsqu’une donnée est demandée, elle transite par la plateforme, est transformée si nécessaire, puis devient immédiatement accessible à l’application pendant le développement et l’exécution.

OutSystems Data Fabric gives teams a practical answer to why data integration matters in enterprise development. It creates an advanced virtual data layer that unifies data from disparate sources like SAP, Salesforce, external databases, legacy systems, and SaaS applications, so you can reduce data silos, avoid manual data mapping, and build data-driven applications faster with built-in security, governance, and strong performance.

To understand what is Data Fabric, think of it as a data layer that sits above multiple systems and sources to unify data from disparate environments while abstracting the complexity underneath. It creates a single, consistent view of data across silos, making it easier to access, incorporate into applications, and adapt as business needs and technologies change.

Knowing when to use OutSystems Data Fabric comes down to complexity. OutSystems Data Fabric is a strong fit when an application needs data from multiple systems and you want to avoid heavy API orchestration, manual joins, or ongoing synchronization work. It is especially useful for building a 360-degree customer view, supporting legacy modernization, establishing master data management, and powering sales or e-commerce applications with unified, reusable, and governed data.

OutSystems Data Fabric connects to common enterprise data sources, including databases, APIs, cloud platforms, and business systems such as SQL Server, Oracle, PostgreSQL, SAP, Salesforce, Snowflake, and others. It helps teams access existing data without rebuilding custom integration for every source, supporting faster app development across complex technology environments.

With OutSystems Data Fabric, your data stays in its original source system. Data Fabric leverages a virtualization layer that maps to your existing database, application, or enterprise system instead of relocating the data. This helps support data residency, sovereignty, compliance, and cost-control requirements.

No. OutSystems Data Fabric does not copy or move your data by default. It creates a live map to the original data source, so applications can access current information without duplicating records into OutSystems. This reduces storage overhead and helps regulated organizations maintain control over sensitive data.

Data Fabric helps connect O11 and ODC through secure connectivity, allowing customers to expose O11 data to ODC. This supports a phased modernization path, so teams can use ODC capabilities, including AI agents, without immediately migrating or rebuilding existing O11 applications.

OutSystems Data Fabric can support real-time or near real-time data access depending on the use case. Operational applications may require live access to source systems, while other scenarios may use an ETL layer or near real-time synchronization. This flexibility helps teams balance performance, control, and business requirements.

OutSystems Data Fabric respects the permissions configured in the source system and connection string. If a user or application has read, create, update, or delete access, Data Fabric follows those controls. This helps teams govern sensitive data without bypassing existing security models or creating unmanaged access paths.

OutSystems Data Fabric supports both read and write access when the connected source system and permissions allow it. This means teams can build operational applications—not just dashboards—that retrieve, update, and manage data across enterprise systems while still respecting source-level access controls.

OutSystems Data Fabric is designed to provide efficient access to connected data sources while reducing custom integration work. Like any data access layer, performance depends on query design, source system speed, network latency, and workload volume. Teams should test high-volume use cases to validate performance requirements.

Data Fabric may help reduce the need to create separate REST API methods for every data connection, which can support more efficient architecture and licensing management. Application Object impact depends on how apps, APIs, and reusable components are designed. Teams should review AO consumption as part of solution planning.