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| <h1 class="h1 innerhero__h1">In-Memory Data Grid</h1> |
| <div class="h1 pt-2">With Apache Ignite</div> |
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| Use an advanced read-through / write-through cache<br /> |
| that is deployed on top of one or several databases |
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| <h2 class="grid1__h2 h4">In-memory data grid with Apache Ignite <strong>accelerates and scales</strong> your existing databases and data stores.</h2> |
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| <h2 class="compute2__h2">In-Memory Data Grid Overview</h2> |
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| <h3 class="h5 hub1__title">What is in-memory data-grid?</h3> |
| <p class="hub1__text">An in-memory data grid (IMDG) is an advanced read-through/write-through cache that is deployed on top of multiple databases.</p> |
| <p class="hub1__text">Applications write to and read from the grid, and the grid propagates changes to the underlying data stores in a consistent way.</p> |
| <h3 class="h5 hub1__title hub1__titleend">How does an in-memory data grid work?</h3> |
| <p class="hub1__text">Co-location is the main IMDG feature. It organizes related data for storage in the same node and enables low latency with high throughput computing.</p> |
| <p class="hub1__text">Co-located applications can access in-memory data without network movement.</p> |
| <p class="hub1__text">In in-memory data grid queries are processed at high speeds and scaled to multiple nodes, because there's no distance between data and applications.</p> |
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| <h2 class="base3__h2 h4">Apache Ignite as a data grid supports a variety of developer APIs</h2> |
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| <h3 class="base3__h3">Essential Developer APIs</h3> |
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| <div class="base3__subtext">Key-value</div> |
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| ACID<br /> |
| transactions |
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| </div> |
| <p class="base3__text">Enable you to request, join, and group distributed datasets.</p> |
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| <h3 class="base3__h3">High Performance Computing APIs</h3> |
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| <div class="base3__subtext">Compute</div> |
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| Machine<br /> |
| learning |
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| <div class="base3__subtext">Services</div> |
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| <p class="base3__text">Execute logic close to the data, thus eliminating expensive data shuffling over the network.</p> |
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| <h3 class="base3__h3">Real-Time Streaming APIs</h3> |
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| Continuous<br /> |
| Queries |
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| <div class="base3__subtext">Messaging</div> |
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| <p class="base3__text base3__textend">Allow the seamless implementation of event-driven architectures.</p> |
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| <h2 class="grid4__h2 h5">Native Persistence And In-Memory Data</h2> |
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| When <a href="/arch/native-persistence.html">Native Persistence</a> is enabled, Ignite stores both data and indexes<br /> |
| on disk, thus eliminating the time-consuming cache warm-up step. |
| </p> |
| <p class="grid4__text pt-1"> |
| Native Persistence keeps a full copy of data on disk, so you are free<br /> |
| to cache a subset of records in memory. |
| </p> |
| <p class="grid4__text pt-1">If a required data record is missing from memory, Ignite reads the record from the disk automatically.</p> |
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| <h2 class="grid5__h2 h4">In-memory data grid is frequently used when a business works with large datasets at low latency and high throughput.</h2> |
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| <article class="native2item grid5__item"><p class="grid5__text">Increase the performance and scalability of real-time applications and external databases.</p></article> |
| <article class="native2item grid5__item"> |
| <p class="grid5__text">Support<a href="https://ignite.apache.org/use-cases/high-performance-computing.html" target="_blank">high-performance computing.</a></p> |
| </article> |
| <article class="native2item grid5__item"><p class="grid5__text">Cache data that is scattered across databases.</p></article> |
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| <h2 class="compute2__h2">In-Memory Data Grid Ignite User Stories</h2> |
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| <article class="comvideo"> |
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| <a class="comvideo__screen" href="https://www.youtube.com/watch?v=78UE11GrWzk&t=2586s " data-youtube="data-youtube" |
| ><span class="comvideo__txt comvideo__txt--white hub5__video">Leveraging In Memory Data Grid For Faster Time To Market </span><img src="/img/usecases/database/one-video.png" alt="" |
| /></a> |
| </div> |
| <div class="pt-1"></div> |
| <div class="comvideo__descr pt-1"></div> |
| </article> |
| <h3 class="h4 hub5__title">Agilent Technologies Inc.</h3> |
| <p class="hub5__text base5__text">improved its online channel by implementing in-memory solutions. They leveraged in-memory data grid to achieve faster time-to-market, and data flexibility across digital channels.</p> |
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| <a class="comvideo__screen" href="https://www.youtube.com/watch?v=CPmwnjDJ1Sk&feature=emb_imp_woyt" data-youtube="data-youtube" |
| ><span class="comvideo__txt comvideo__txt--white comvideo__txthub hub5__video">Embracing The Service Consumption Shift In Banking</span><img src="/img/usecases/database/two-video.png" alt="" |
| /></a> |
| </div> |
| <div class="pt-1"></div> |
| <div class="comvideo__descr pt-1"></div> |
| </article> |
| <h3 class="h4 hub5__title">ING Bank</h3> |
| <p class="hub5__text base5__text base5__textend">used in-memory computing platforms to meet increasing demand for performance and scalability.</p> |
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| Discover our quick start guide and build your first<br /> |
| application in 5-10 minutes |
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| <p class="nativebotblock__text">Read the In-Memory Database article</p> |
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