StreamX makes real-time data integration possible through its service mesh and unified data layer. Get faster responses, personalized customer experiences and more agility in Digital Experience Platform operations.
StreamX’s biggest game changer is the event streaming service mesh feeding a unified data layer.
The central concept here is to decouple source systems, experience processing and delivery.
StreamX uses event streaming pipelines to respond to data incoming from various sources and transform it into digital experiences ready for lightweight global delivery.
source
Adobe Experience Manager
source
Adobe Commerce
source
HTTP API
source
Streaming API
delivery
Search
delivery
Web
delivery
REST
delivery
GraphQL
DX Mesh simplifies complex, distributed event-driven microservice architectures. This empowers your development teams to prioritize what truly matters: building features and functionalities that deliver value directly to your customers
StreamX provides a straightforward API, programming model, so you can integrate and develop the service mesh like you would piece together a standardized set of building blocks.
Build composable architectures
Update experiences with fresh data 24/7
Process real-time data at scale
Make business logic fully modular
StreamX uses event streaming and reactive programming to build a system that is responsive, resilient and blazingly fast.
Adding the StreamX DX Mesh to your Digital Experience Platform means you can modernize architecture with advanced features and without the long rebuild.
Add: Composability with fully decoupled architecture and no data source dependency
Add: Real-time processing of data from customer platforms and integrated applications
Add: High performance/low latency for delivery and integrations
Add: Smart distribution for auto-scalable, lightweight experience delivery
DXP Problem:
Experience data orchestration
StreamX way:
Experience data pipelines defined in the service mesh.
DXP Problem:
Keeping experiences up to date
StreamX way:
Fast, scalable unified data layer close to the customer
DXP Problem:
Backend performance impacts speed and uptime
StreamX way:
Push model for gathering and storing source systems data; continuous updates for ahead of demand experience delivery.
DXP Problem:
Complexity from growing integrations
StreamX way:
Middleware that handles the task of managing and scaling communication between systems.
Submit your project for a free Proof of Concept estimate and see how StreamX
can help you build composable architectures and process real-time data at scale.