extend ../_components/base.pug

block pagetitle
    title Distributed In-Memory Cache - Apache Ignite
    meta(name="description", content="Apache Ignite as a Distributed In-Memory Cache accelerates and scales your databases, services, and APIs. Learn more about the cache-aside deployment and the read-through/write-through caching strategies with Apache Ignite.")
    link(rel="canonical", href="https://ignite.apache.org/use-cases/in-memory-cache.html")

    meta(property="og:title", content="Distributed In-Memory Cache - Apache Ignite")
    meta(property="og:type", content="article")
    meta(property="og:url", content="https://ignite.apache.org/use-cases/in-memory-cache.html")
    meta(property="og:image", content="/img/og-pic.png")
    meta(property="og:description", content="Apache Ignite enables high-performance computing by providing APIs for data and compute-intensive calculations. Using Ignite as a HPC cluster, you can turn your commodity hardware or cloud environment into a distributed supercomputer.") 

block css 
    link(rel="stylesheet", href="../css/native-persistence.css?ver=" + config.version)
    link(rel="stylesheet", href="../css/in-memory-cache.css?ver=" + config.version)


block main
    - global.pageHref = "usecases"
    - config.hdrClassName = "hdr__blue"
    include ../_components/header.pug


    section.innerhero
        .container.innerhero__cont
            .innerhero__main.innerhero__main--long
                //- .innerhero__pre.pb-5 Apache Ignite
                h1.h1.innerhero__h1 Distributed <br>In-Memory Cache<br>
                    span.with-apache With Apache Ignite
                .innerhero__descr.pt-2.h5.
                    Improve the performance and scalability of&nbsp;your applications, <br>
                    databases, and microservices with Apache Ignite
                .innerhero__action 
                    a.button.innerhero__button(href="https://ignite.apache.org/docs/latest/index") Start Coding
            img.innerhero__pic.innerhero__pic--inmemory(src="/img/usecases/in-memory-hero.svg", alt="Distributed In-Memory Cache")
    // /.innerhero


    section.inmememor1.container
        header.blockheader.blockheader--spl.flexi
            h2.capstext.pb-3 What Is In-Memory Cache
            .inmememor1__text
                p In-memory cache is&nbsp;a&nbsp;storage layer placed between applications and databases. The cache keeps your hot data in&nbsp;memory to&nbsp;offload existing databases and accelerate applications.
    // /.inmememor1
    

    section.inmememor-adv
        .container
            header.blockheader.blockheader--spl.flexi
                h2.h4 Advantages of Distributed In-Memory Cache
                .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:                
            .inmememor-adv__wrap
                .inmememor-adv__item 
                    h3.h4 Speed
                    .inmememor-adv__text Memory as a storage layer provides the&nbsp;lowest latency and highest throughput. Laws of physics.
                .inmememor-adv__item 
                    h3.h4 Scale
                    .inmememor-adv__text Horizontal scalability lets you grow the&nbsp;cluster unlimitedly to accommodate <br>data size and throughput.
    // /.inmememor-adv


    section.inmememor-api.container
        header.blockheader.blockheader--spl.flexi
            h2.h4.blockheader__left.blockheader__left--full Unlike Standard In-Memory Caches, Apache Ignite <br>Supports Essential Developers APIs
        .inmememor-api__wrap.flexi
            .inmememor-api__item
                img.inmememor-api__icon(src="/img/features/in-memory/01-ACID-Transactions.svg", alt="")
                p.fz20.pt-3 ACID transactions <br>to&nbsp;ensure consistency <br>of&nbsp;data
            .inmememor-api__item
                img.inmememor-api__icon(src="/img/features/in-memory/02-sql.svg", alt="")
                p.fz20.pt-3 SQL queries execution
            .inmememor-api__item
                img.inmememor-api__icon(src="/img/features/in-memory/03-user.svg", alt="")
                p.fz20.pt-3 Custom computations, <br>e.g. on Java, available
    // /.inmememor-api


    section.inmememor2.container 
        h2.h4 Read-Through / Write-Through Caching
        p.fz20.pt-5
            strong How It Works
        .inmememor2__work.flexi.pt-2
            .inmememor2__left
                p
                    em The read-through/write-through caching strategy can be <br>classified as&nbsp;an&nbsp;in-memory, data-grid type of&nbsp;deployment.
            .inmememor2__right 
                p When Apache Ignite is&nbsp;deployed as&nbsp;a&nbsp;data grid, the application layer begins to&nbsp;treat Ignite as&nbsp;the primary store.
                p As&nbsp;applications write to&nbsp;and read from the data grid, Ignite ensures that all underlying external databases stay updated and are consistent with the in-memory data.
        .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="")
        p.fz20
            strong How It Works
        .inmememor2__work.flexi.pt-3
            .inmememor2__left.inmememor2__left--icon
                p This strategy is recommended for architectures that need to:
                ul.dashlist.pt-1
                    li accelerate disk-based databases;
                    li create a shared caching layer across various data sources.
            .inmememor2__right
                p Ignite integrates with many databases out-of-the-box and, in&nbsp;write-through or&nbsp;write-behind mode, can synchronize all changes to&nbsp;the databases.
                p The strategy also applies to&nbsp;ACID&nbsp;transactions: Ignite will coordinate and commit a&nbsp;transaction across its in-memory cluster as&nbsp;well as&nbsp;to&nbsp;a&nbsp;relational database.
                p Read-through capability implies that, if&nbsp;a&nbsp;record is&nbsp;missing from memory, a&nbsp;cache can read the data from an&nbsp;external database. Ignite fully supports this capability for key-value APIs.
                p When you use Ignite SQL, you must preload the dataset into memory&mdash;because Ignite SQL can query on-disk data only if&nbsp;the data is&nbsp;stored in&nbsp;native persistence.
    // /.inmememor2


    section.inmememor3.container.pt-5
        h2.h4 Cache-Aside Deployment
        .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="")
        p.fz20.pt-3
            strong When It Works
        .inmememor2__work.flexi.pt-3
            .inmememor2__left
                p This strategy works well in two cases:
                ul.pt-1
                    li 1. The cached data is relatively static, i.e. not updated frequently
                    li 2. A temporary data lag is allowed between the primary store and the cache
            .inmememor2__right
                p It&rsquo;s usually assumed that changes will be&nbsp;fully replicated eventually and, <br>thus, the cache and the primary store will become consistent.

        .inmememor3__bottom
            h3.fz20 Cach-Aside Deployment And Native Persistence
            .inmememor3__botwrap.flexi.pt-3
                .inmememor2__left
                    p When Apache Ignite is&nbsp;deployed in&nbsp;a&nbsp;cache-aside configuration, its native persistence can be&nbsp;used as&nbsp;a&nbsp;disk store for Ignite datasets. <a href="/arch/native-persistence.html">Native persistence</a> allows for elimination of&nbsp;the time-consuming cache warm-up step.
                    p As&nbsp;native persistence maintains a&nbsp;full copy of&nbsp;data on&nbsp;disk, you can cache a&nbsp;subset of&nbsp;records in&nbsp;memory. If&nbsp;a&nbsp;required data record is&nbsp;missing from memory, then Ignite reads the record from the disk automatically, regardless of&nbsp;which API you use&nbsp;&mdash; whether SQL, key-value, or&nbsp;scan queries.
                .inmememor2__right
                    ul.inmememor3__checklist
                        li Seconds needed for recovery
                        li Full copy of cached records is duplicated on disk
                        li Use any API: SQL, key-value, or scan queries
    // /.inmememor3

    section.native-bottom.container
        .native-bottom__grid 
            article.nativebotblock
                .h4.nativebotblock__title
                    img(src="/img/features/native-rocket.svg", alt="").nativebotblock__icon
                    span Ready to Start?
                p.nativebotblock__text Discover our quick start guide and build your first application in 5-10 minutes
                a.nativebotblock__link.arrowlink(href="https://ignite.apache.org/docs/latest/#quick-start-guides ", target="_blank") Quick Start Guide 
            article.nativebotblock.nativebotblock--learn
                .h4.nativebotblock__title
                    img(src="/img/features/native-docs.svg", alt="").nativebotblock__icon
                    span Want to View More Use-Cases?
                p.nativebotblock__text Read In-Memory Data Grid article
                a.nativebotblock__link.arrowlink(href="/use-cases/in-memory-data-grid.html", target="_blank") In-Memory Data Grid