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           <h1 class="h1 innerhero__h1">In-Memory Database</h1>
           <div class="h3 pt-2 with-apache">With Apache Ignite</div>
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             In-memory database that scales horizontally across memory<br />
             and disk with full SQL support
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         <h2 class="compute2__h2">In-Memory Database Overview</h2>
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             <h3 class="h5 hub1__title">What is an in-memory database?</h3>
             <p class="hub1__text">An in-memory database (IMDB) is a data management system that stores data primarily in the computer’s main memory.</p>
             <h3 class="h5 hub1__title hub1__titleend">How an in-memory database works?</h3>
             <p class="hub1__text">In-memory databases rely on spinning disks for data storage. IMDBs allow mission-critical applications to benefit from faster response times than disk-based databases.</p>
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         <h2 class="base1__h2 h5">Apache Ignite as a distributed in-memory database scales horizontally across memory and disk with no compromises</h2>
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             <p class="base1__text">Apache Ignite works with memory, disk, and Intel Optane as active storage tiers.</p>
             <p class="base1__text pt-1">This <a href="/arch/multi-tier-storage.html">multi-tier</a> architecture combines, in one system, the advantages of in-memory computing with disk durability and strong consistency.</p>
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               <p class="compute2__text base2__text">Ignite becomes fully operational from disk upon a cluster startup or restarts without requiring to preload or warm up the memory tier.</p>
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               <p class="compute2__text base2__text">Ignite treats disk as an active storage layer allowing to cache a subset of the data in memory and query both in-memory and disk-only records with SQL and all other available</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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                   ACID<br />
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             <p class="base3__text">Enable you to request, join, and group distributed datasets.</p>
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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="compute2__h2">In-Memory Database Ignite User Stories</h2>
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               <h3 class="h4 hub5__title">BNP Paribas</h3>
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                 with the help of Apache Ignite managed to design, build, and optimize a hybrid transactional-analytical processing (HTAP) solution. This enabled the bank to make key business decisions in real-time.
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               <h3 class="h4 hub5__title">JP MorganChase</h3>
               <p class="hub5__text base5__text">faced an increasing need to apply transformations to large datasets in real-time. To meet this need, their team selected Ignite to achieve persistence, caching and integrated compute.</p>
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	<h1 class="h1 innerhero__h1">In-Memory Database</h1>
	<div class="h3 pt-2 with-apache">With Apache Ignite</div>
	<div class="innerhero__descr pt-2 h5">
	In-memory database that scales horizontally across memory<br />
	and disk with full SQL support
	</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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	<h2 class="compute2__h2">In-Memory Database Overview</h2>
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	<h3 class="h5 hub1__title">What is an in-memory database?</h3>
	<p class="hub1__text">An in-memory database (IMDB) is a data management system that stores data primarily in the computer’s main memory.</p>
	<h3 class="h5 hub1__title hub1__titleend">How an in-memory database works?</h3>
	<p class="hub1__text">In-memory databases rely on spinning disks for data storage. IMDBs allow mission-critical applications to benefit from faster response times than disk-based databases.</p>
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	<h2 class="base1__h2 h5">Apache Ignite as a distributed in-memory database scales horizontally across memory and disk with no compromises</h2>
	<div class="base1__blocks flexi">
	<div class="base1__block">
	<p class="base1__text">Apache Ignite works with memory, disk, and Intel Optane as active storage tiers.</p>
	<p class="base1__text pt-1">This <a href="/arch/multi-tier-storage.html">multi-tier</a> architecture combines, in one system, the advantages of in-memory computing with disk durability and strong consistency.</p>
	</div>
	<div class="base1__block">
	<div class="base1__item flexi">
	<div class="compute2-points__item fz20"></div>
	<h3 class="base1__black">Speed of memory</h3>
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	<h3 class="base1__black">Strong consistency</h3>
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	<div class="compute2-points__item fz20"></div>
	<h3 class="base1__black">Durability of disk</h3>
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	<!-- /.base1-->
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	<h2 class="compute2__h2">Advantages Of Ignite Multi-Tiered Architecture</h2>
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	<div class="compute2item hub2item">
	<div class="compute2-points__item fz20"></div>
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	<h3 class="fz20 compute2item__title">Instantaneous cluster restarts</h3>
	<p class="compute2__text base2__text">Ignite becomes fully operational from disk upon a cluster startup or restarts without requiring to preload or warm up the memory tier.</p>
	</div>
	</div>
	<div class="compute2item hub2item">
	<div class="compute2-points__item fz20"></div>
	<div class="compute2item__block">
	<h3 class="fz20 compute2item__title">Multi-tiered storage</h3>
	<p class="compute2__text base2__text">Ignite treats disk as an active storage layer allowing to cache a subset of the data in memory and query both in-memory and disk-only records with SQL and all other available</p>
	</div>
	</div>
	</div>
	</div>
	</section>
	<!-- /.compute2-->
	<section class="base3">
	<div class="container">
	<h2 class="base3__h2 h4">Apache Ignite as a data grid supports a variety of developer APIs</h2>
	<div class="base3__blocks flexi">
	<div class="base3__block">
	<h3 class="base3__h3">Essential Developer APIs</h3>
	<div class="base3__images flexi">
	<div class="base3__item flexi">
	<img class="base3__image" src="/img/features/03-distributed-SQL.svg" alt="sql" />
	<div class="base3__subtext">SQL</div>
	</div>
	<div class="base3__item flexi">
	<img class="base3__image" src="/img/features/05-key-value-APIs.svg" alt="apis" />
	<div class="base3__subtext">Key-value</div>
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	<img class="base3__image" src="/img/features/04-ACID-transactions.svg" alt="acid" />
	<div class="base3__subtext">
	ACID<br />
	transactions
	</div>
	</div>
	</div>
	<p class="base3__text">Enable you to request, join, and group distributed datasets.</p>
	</div>
	<div class="base3__block">
	<h3 class="base3__h3">High Performance Computing APIs</h3>
	<div class="base3__images flexi">
	<div class="base3__item flexi">
	<img class="base3__image" src="/img/features/06-compute-APIs.svg" alt="sql" />
	<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>
	</div>
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	<h3 class="base3__h3">Real-Time Streaming APIs</h3>
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	<div class="base3__subtext">Streaming</div>
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	<div class="base3__subtext">
	Continuous<br />
	Queries
	</div>
	</div>
	<div class="base3__item flexi">
	<img class="base3__image" src="/img/features/11-messaging.svg" alt="acid" />
	<div class="base3__subtext">Messaging</div>
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	</div>
	<p class="base3__text base3__textend">Allow the seamless implementation of event-driven architectures.</p>
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	<h2 class="compute2__h2">In-Memory Database Ignite User Stories</h2>
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	<a class="comvideo__screen" href="https://www.youtube.com/watch?v=-t-Syy9blXQ" data-youtube="data-youtube"
	><span class="comvideo__txt comvideo__txt--white hub5__video">Apache Ignite As A Hybrid Transactional-Analytical Processing Solution At A Large Investment Bank</span
	><img src="/img/usecases/database/one-video.png" alt=""
	/></a>
	</div>
	<div class="comvideo__descr pt-1"></div>
	</article>
	<h3 class="h4 hub5__title">BNP Paribas</h3>
	<p class="hub5__text base5__text">
	with the help of Apache Ignite managed to design, build, and optimize a hybrid transactional-analytical processing (HTAP) solution. This enabled the bank to make key business decisions in real-time.
	</p>
	</div>
	<div class="hub5__item">
	<article class="comvideo">
	<div class="comvideo__box">
	<a class="comvideo__screen" href="https://www.youtube.com/watch?v=B8A8yR_e6VM&t=2s" data-youtube="data-youtube"
	><span class="comvideo__txt comvideo__txt--white hub5__video">Real Time Exposure Management Using Ignite</span><img src="/img/usecases/datagrid/two-video.png" alt=""
	/></a>
	</div>
	<div class="comvideo__descr pt-1"></div>
	</article>
	<h3 class="h4 hub5__title">JP MorganChase</h3>
	<p class="hub5__text base5__text">faced an increasing need to apply transformations to large datasets in real-time. To meet this need, their team selected Ignite to achieve persistence, caching and integrated compute.</p>
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	<h3 class="h4 nativebotblock__title"><img class="nativebotblock__icon" src="/img/features/native-rocket.svg" alt="" /><span>Ready to Start?</span></h3>
	<p class="nativebotblock__text">
	Discover our quick start guide and build your first<br />
	application in 5-10 minutes
	</p>
	<a class="nativebotblock__link arrowlink" href="https://ignite.apache.org/docs/latest/" target="_blank">Quick Start Guide</a>
	</article>
	<article class="nativebotblock nativebotblock--learn">
	<h3 class="h4 nativebotblock__title"><img class="nativebotblock__icon" src="/img/features/native-docs.svg" alt="" /><span>Want to View More Use-Cases?</span></h3>
	<p class="nativebotblock__text">Read the In-Memory Cache article</p>
	<a class="nativebotblock__link arrowlink" href="https://ignite.apache.org/use-cases/in-memory-cache.html" target="_blank">In-Memory Cache</a>
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