Orchestrate complex data processing, enable self-service consumption of data, and decouple source and target applications with a modern data hub.
Eliminate interdependencies and reduce the complexity of integrating multiple sources and applications with a hub-and-spoke integration model. Simplify management, governance, and monitoring with end-to-end metadata and lineage capabilities.
Publish and subscribe data from different applications once and allow easy consumption by different users for integration and analytics purposes. Reduce API call charges, data transfer fees, network traffic, and load on source systems.
Manage, orchestrate, and coordinate multiple cloud data and application integration functions, enabling them to seamlessly work together and complement other Informatica cloud services.
Add new integrations quickly with little effort by using a pub-sub model and consuming data directly from the hub. Apps and users can confidently identify and access trusted data assets in the hub without the overhead of application dependency between sources and targets.
Enable applications, services, and APIs to publish and subscribe data from the hub as needed.
Support multiple data and application integration functions and tight integration with services within Informatica Intelligent Cloud Services.
Automate delivery of data on mixed latencies, near real-time, or batch schedules—to all systems.
Access custom mappings, transformations, and data workflows in the web-based, code-free designer.
Build an interactive visualization of the relationships between publications, data topics, subscriptions, and connected applications with end-to-end metadata.
View aggregated events, search and find historical events, and get rule-based notifications for any event.
Jumpstart multi-point integration with prebuilt components and accelerators such as our Salesforce accelerator.
Erstellen Sie problemlos themenbezogene Datendomänen aus vorhandenen verknüpften Anwendungen und Abonnement-Aufgaben mit Self-Service-Erstellung von Aufgaben für die Datenintegration.