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| <div class="innerhero__pre pb-5">Apache Ignite</div> |
| <h1 class="h1 innerhero__h1">Distributed <br />In-Memory Cache</h1> |
| <div class="innerhero__descr pt-2 h5"> |
| Improve the performance and scalability of your applications, <br /> |
| databases, and microservices with Apache Ignite |
| </div> |
| <div class="innerhero__action"><a class="button innerhero__button" href="https://ignite.apache.org/docs/latest/index">Start Coding</a></div> |
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| <img class="innerhero__pic innerhero__pic--inmemory" src="/img/usecases/in-memory-hero.svg" alt="Distributed In-Memory Cache" /> |
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| <section class="inmememor1 container"> |
| <header class="blockheader blockheader--spl flexi"> |
| <h2 class="capstext pb-3">What Is In-Memory Cache</h2> |
| <div class="inmememor1__text"> |
| <p>In-memory cache is a storage layer placed between applications and databases. The cache keeps your hot data in memory to offload existing databases and accelerate applications.</p> |
| </div> |
| </header> |
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| <!-- /.inmememor1--> |
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| <header class="blockheader blockheader--spl flexi"> |
| <h2 class="h4">Advantages of Distributed In-Memory Cache</h2> |
| <div class="blockheader__right fz20">A distributed in-memory cache is <strong>the most straightforward and scalable</strong> way to accelerate your existing applications and databases, thanks to:</div> |
| </header> |
| <div class="inmememor-adv__wrap"> |
| <div class="inmememor-adv__item"> |
| <h3 class="h4">Speed</h3> |
| <div class="inmememor-adv__text">Memory as a storage layer provides the lowest latency and highest throughput. Laws of physics.</div> |
| </div> |
| <div class="inmememor-adv__item"> |
| <h3 class="h4">Scale</h3> |
| <div class="inmememor-adv__text">Horizontal scalability lets you grow the cluster unlimitedly to accommodate <br />data size and throughput.</div> |
| </div> |
| </div> |
| </div> |
| </section> |
| <!-- /.inmememor-adv--> |
| <section class="inmememor-api container"> |
| <header class="blockheader blockheader--spl flexi"> |
| <h2 class="h4 blockheader__left blockheader__left--full">Unlike Standard In-Memory Caches, Apache Ignite <br />Supports Essential Developers APIs</h2> |
| </header> |
| <div class="inmememor-api__wrap flexi"> |
| <div class="inmememor-api__item"> |
| <img class="inmememor-api__icon" src="/img/features/in-memory/01-ACID-Transactions.svg" alt="" /> |
| <p class="fz20 pt-3">ACID transactions <br />to ensure consistency <br />of data</p> |
| </div> |
| <div class="inmememor-api__item"> |
| <img class="inmememor-api__icon" src="/img/features/in-memory/02-sql.svg" alt="" /> |
| <p class="fz20 pt-3">SQL queries execution</p> |
| </div> |
| <div class="inmememor-api__item"> |
| <img class="inmememor-api__icon" src="/img/features/in-memory/03-user.svg" alt="" /> |
| <p class="fz20 pt-3">Custom computations, <br />e.g. on Java, available</p> |
| </div> |
| </div> |
| </section> |
| <!-- /.inmememor-api--> |
| <section class="inmememor2 container"> |
| <h2 class="h4">Read-Through / Write-Through Caching</h2> |
| <p class="fz20 pt-5"><strong>How It Works</strong></p> |
| <div class="inmememor2__work flexi pt-2"> |
| <div class="inmememor2__left"> |
| <p> |
| <em>The read-through/write-through caching strategy can be <br />classified as an in-memory, data-grid type of deployment.</em> |
| </p> |
| </div> |
| <div class="inmememor2__right"> |
| <p>When Apache Ignite is deployed as a data grid, the application layer begins to treat Ignite as the primary store.</p> |
| <p>As applications write to and read from the data grid, Ignite ensures that all underlying external databases stay updated and are consistent with the in-memory data.</p> |
| </div> |
| </div> |
| <div class="inmememor2__picwrap"> |
| <picture |
| ><source media="(min-width: 1024px)" srcset="/img/features/in-memory/write-through-caching.svg" sizes="" /> |
| <img src="/img/features/in-memory/write-through-caching-mob.svg" alt="" |
| /></picture> |
| </div> |
| <p class="fz20"><strong>How It Works</strong></p> |
| <div class="inmememor2__work flexi pt-3"> |
| <div class="inmememor2__left inmememor2__left--icon"> |
| <p>This strategy is recommended for architectures that need to:</p> |
| <ul class="dashlist pt-1"> |
| <li>accelerate disk-based databases;</li> |
| <li>create a shared caching layer across various data sources.</li> |
| </ul> |
| </div> |
| <div class="inmememor2__right"> |
| <p>Ignite integrates with many databases out-of-the-box and, in write-through or write-behind mode, can synchronize all changes to the databases.</p> |
| <p>The strategy also applies to ACID transactions: Ignite will coordinate and commit a transaction across its in-memory cluster as well as to a relational database.</p> |
| <p>Read-through capability implies that, if a record is missing from memory, a cache can read the data from an external database. Ignite fully supports this capability for key-value APIs.</p> |
| <p>When you use Ignite SQL, you must preload the dataset into memory—because Ignite SQL can query on-disk data only if the data is stored in native persistence.</p> |
| </div> |
| </div> |
| </section> |
| <!-- /.inmememor2--> |
| <section class="inmememor3 container pt-5"> |
| <h2 class="h4">Cache-Aside Deployment</h2> |
| <div class="inmememor2__picwrap"> |
| <picture |
| ><source media="(min-width: 1024px)" srcset="/img/features/in-memory/cache-aside-deployment.svg" sizes="" /> |
| <img src="/img/features/in-memory/cache-aside-deployment-mob.svg" alt="" |
| /></picture> |
| </div> |
| <p class="fz20 pt-3"><strong>When It Works</strong></p> |
| <div class="inmememor2__work flexi pt-3"> |
| <div class="inmememor2__left"> |
| <p>This strategy works well in two cases:</p> |
| <ul class="pt-1"> |
| <li>1. The cached data is relatively static, i.e. not updated frequently</li> |
| <li>2. A temporary data lag is allowed between the primary store and the cache</li> |
| </ul> |
| </div> |
| <div class="inmememor2__right"> |
| <p>It’s usually assumed that changes will be fully replicated eventually and, <br />thus, the cache and the primary store will become consistent.</p> |
| </div> |
| </div> |
| <div class="inmememor3__bottom"> |
| <h3 class="fz20">Cach-Aside Deployment And Native Persistence</h3> |
| <div class="inmememor3__botwrap flexi pt-3"> |
| <div class="inmememor2__left"> |
| <p> |
| When Apache Ignite is deployed in a cache-aside configuration, its native persistence can be used as a disk store for Ignite datasets. |
| <a href="/arch/native-persistence.html">Native persistence</a> allows for elimination of the time-consuming cache warm-up step. |
| </p> |
| <p> |
| As native persistence maintains a full copy of data on disk, you can cache a subset of records in memory. If a required data record is missing from memory, then Ignite reads |
| the record from the disk automatically, regardless of which API you use — whether SQL, key-value, or scan queries. |
| </p> |
| </div> |
| <div class="inmememor2__right"> |
| <ul class="inmememor3__checklist"> |
| <li>Seconds needed for recovery</li> |
| <li>Full copy of cached records is duplicated on disk</li> |
| <li>Use any API: SQL, key-value, or scan queries</li> |
| </ul> |
| </div> |
| </div> |
| </div> |
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| <!-- /.inmememor3--> |
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