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| content="Apache Ignite functions as a low-latency and shared store of the digital integration hub architecture |
| that caches and persists data sets scattered across many disjointed back-end databases and systems."/> |
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| <title>Digital Integration Hub - Apache Ignite</title> |
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| <header> |
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| <h1><strong>Digital Integration Hub</strong> With Apache Ignite</h1> |
| </div> |
| </header> |
| <div class="container"> |
| <p> |
| A digital integration hub (DIH) is an advanced platform architecture that aggregates multiple back-end |
| systems and databases into a low-latency and shared data store. Apache Ignite® functions as such a store |
| that caches and persists data sets scattered across many disjointed back-end databases and makes |
| them available through high-performance APIs to your applications. |
| </p> |
| <img class="diagram-right img-fluid" src="/images/svg-diagrams/digital_hub.svg" alt="Digital Integration Hub" /> |
| |
| <p> |
| Applications access Ignite via an API service layer and experience substantial performance improvements by |
| requesting data from only the Ignite distributed store. |
| </p> |
| |
| <p> |
| As a digital integration hub component, Apache Ignite: |
| </p> |
| <ul> |
| <li> |
| Enables large-scale and high-throughput architectures that prevent back-end systems from getting |
| overwhelmed with excessive workloads |
| </li> |
| <li> |
| Avoids complex integrations between back-end databases and front-end API services |
| </li> |
| </ul> |
| |
| <h2>Synchronization of Apache Ignite and Back-End Systems</h2> |
| <p> |
| Ignite, as the high-performance data store, needs to be synchronized with the back-end databases via |
| streaming, event-based, change data capture (CDC), or other techniques. |
| </p> |
| |
| <p> |
| Ignite provides the <code>CacheStore</code> interface for uni-directional synchronization between an |
| Ignite cluster and an external store supporting relational databases and some NoSQL stores. The interface |
| allows Ignite to write-through or write-behind all the changes to the backend-systems automatically. |
| It also includes transactions - Ignite coordinates and commits a transaction across its in-memory |
| cluster as well as an external transactional database. |
| </p> |
| |
| <p> |
| For bi-directional synchronization, you can consider various streaming, CDC, and event-based technologies. |
| For instance, Kafka, Spark, and Debezium are widely used to keep Ignite in sync with other databases. |
| </p> |
| |
| <h2>Real-Time Analytics</h2> |
| <p> |
| Although real-time analytics is not a defining characteristic of digital integration hub architectures, in |
| some situations, you can end up consolidating operational and analytical data silos in Apache Ignite. If |
| this happens, you can tap into Ignite SQL, compute, and machine learning capabilities for real-time |
| analytics needs. |
| </p> |
| |
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| <a href="https://apacheignite-mix.readme.io/docs/overview" target="docs"> |
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| <a href="https://apacheignite-fs.readme.io/docs/overview" target="docs"> |
| Ignite and Spark Integration <i class="fa fa-angle-double-right"></i> |
| </a> |
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| Distributed SQL <i class="fa fa-angle-double-right"></i> |
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| Machine and Deep Learning <i class="fa fa-angle-double-right"></i> |
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| Multi-Tier Storage <i class="fa fa-angle-double-right"></i> |
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