Potencialize aplicativos e agentes mais inteligentes com dados conectados.

A camada de virtualização garante uma representação uniforme dos dados, simplificando o seu processamento. Independentemente do formato de origem, os dados são mapeados em entidades e atributos para uso consistente. Isso agiliza a manipulação, permitindo o uso de construções padrão, como agregações e listas, em todas as fontes.

A centralização dos dados em um único repositório agiliza a descoberta e a recuperação. A plataforma promove a reutilização por meio de conjuntos de dados personalizados, adaptados para equipes com diferentes níveis de permissão. Ela oferece uma visão unificada, exibindo as fontes de dados acessíveis com base nas funções, facilitando o acesso aos dados para diversas equipes e gerentes de TI.

Enquanto não houver alterações significativas no sistema externo, como exclusão de entidades ou alteração de credenciais de login, nosso sistema mantém a conectividade sem problemas. Armazenamos com segurança todos os detalhes de conexão relevantes, garantindo acesso contínuo por um longo período.

Trata-se da capacidade de personalizar conjuntos de dados para atender às necessidades específicas de cada área de negócios, integrando dados de diversas fontes. Por exemplo, um aplicativo de avaliação 360º personalizado para uma equipe de vendas. Com conjuntos de dados personalizados, os dados do Salesforce, SAP ou outras fontes podem ser facilmente combinados e prontos para serem reutilizados em um determinado aplicativo de vendas.

Funciona como um portal de dados que padroniza dados de diversas fontes, fornecendo acesso à camada de aplicação durante o desenvolvimento. Quando os dados são solicitados, eles passam pela plataforma, sofrem transformação e tornam-se acessíveis à aplicação tanto durante o desenvolvimento quanto em tempo de execução.

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.