Smart DIH
Digital Integration Hub
Scale up your architecture to meet the massive demand for high performance, digital applications
Organizations today face a growing demand for digital services, serving both internal business applications and external customers. Your current data architecture may struggle to keep up with delivering digital services at scale, while maintaining high performance and availability.
Smart DIH is an out-of-the-box data management platform that quickly serves applications with accurate fresh and complete data from enterprise systems of record (SoR), delivering high performance, ultra-low latency, and an always-on digital experience. Smart DIH is based on the principle of decoupling APIs from systems of record, using a module that replicates your data, making it available using event-driven architecture.
Smart DIH removes the bottlenecks of traditional IT architecture that can hinder innovation with slow, irrelevant or expensive access to your SoRs. It enables you to drastically shorten the development cycles of new digital services, and rapidly scale to serve millions of concurrent users – no matter which IT infrastructure or cloud topologies it relies on.
Smart DIH consists of three integrated modules:
Build digital apps at unprecedented speed
Short development cycles with low-code microservices
Faster & easier creation of new digital services using a unified data layer
More efficient use of development resources thanks to a low-code service creator
Engineered for frictionless user experiences
Ensuring an “always-on” service with zero downtime
Ultra-low latency delivered by our high-performance in-memory data grid
Delivering frictionless user journeys with data consistency across all digital channels
GigaSpaces Smart DIH
Digitalization Layer
Multiprotocol (API, SQL, SDK)Digital applications can be written in any language. They access data through either Rest APIs or JDBC/ODBC calls. Deeply integrated applications may also use native SDKs (java, .Net, C#).
Data Access MicroservicesMicroservices run independently from each other and can be fine-grained to specific functionalities, paired to a single endpoint. A low-code blueprint for service creation enables generation of repeatable project patterns, reducing coding overhead and errors.
Unified Data ModelData from multiple sources is consolidated as a unified data model, supporting a mix of structured and semi-structured data, reducing workload from microservices developers and enabling continuous innovation.
Hosting Layer
Tiered StorageKeep high-priority data in RAM for extremely high performance, while storing the rest of your data in SSD. This enables enterprises to optimize costs and performance based on data relevance and business needs.
High Concurrency, Low LatencyLeveraging in-memory data grid to support extreme performance and concurrency requirements, running code close to the data and eliminating downtime.
Distributed in-memory Data GridIncreases overall RAM capacity by engaging multiple nodes and running parallel query processing on multiple machines, running on either commodity hardware or standard cloud infrastructure.
Data Integration Layer
Change Data Capture (CDC)Automatically replicates SoR data in real-time in response to data changes. This ensures that digital applications always run on fresh data.
Pluggable Connector FrameworkThe framework for all data pipelines, supporting both streaming and batch-based connections across either strongly or loosely coupled integrations.
Metadata Change ManagementThe data pipeline helps minimize production downtime by responding to metadata changes in SoRs (adding a source table to existing tables, changes in source schema, etc.)
GigaSpaces provides a simpler, faster, and ultimately a more standardized way to create new, high performance digital services, and re-use them across your organization.
