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<h1 class="h1 innerhero__h1">Frequently Asked Questions <br />About Apache Ignite</h1>
<div class="innerhero__descr pt-5 h4">
Ignite’s rich feature set means it has a myriad of use cases.<br />
Is Ignite a cache, transactional database, key-value store? <br />Find the answers below.
</div>
</div>
<img class="innerhero__pic innerhero__pic--faq" src="/img/faq/hero.svg" alt="Frequently asked questions" />
</div>
</section>
<!-- /.innerhero-->
<section class="faqabout container">
<div class="capstext">Apache Ignite FAQs</div>
<div class="faqabout__wrap flexi pt-5">
<div class="faqabout__left">
<h2 class="h4 pb-2">What Is In-Memory Computing?</h2>
<p>In-memory computing is a software and data-processing technique that stores data sets in memory across a cluster of interconnected nodes. An average speed performance is 10-1000x faster than in disk-based systems.</p>
<p>
In-memory computing software includes a distributed in-memory store with APIs and libraries optimized for high-performance data processing. Each cluster node (physical or virtual machine) contributes its available memory space
with CPU cores to the total capacity of the cluster.
</p>
<p>
An application interacts with the cluster as a single unit, letting the in-memory computing software shield and manage all the internals related to inter-node communications, data distribution, and queries processing. The
cluster scales linearly and horizontally to meet the data volume and throughput goals of the applications.
</p>
</div>
<aside class="faqabout__right">
<div class="faqabout__num h3">10-1000x</div>
<p class="h5">performance increase</p>
<div class="faqabout__rightbot h5">Unlimited horizontal scalability</div>
</aside>
</div>
</section>
<!-- /.faqabout-->
<section class="faqfeats container">
<h2 class="h4 faqfeats__title">Apache Ignite Belongs To The In-Memory <br />Computing Category:</h2>
<div class="faqfeats__wrap flexi pt-5">
<article class="faqfeat pt-1">
<div class="faqfeat__iconwrap flexi"><img src="/img/faq/icon-faq1.svg" alt="" /></div>
<div class="faqfeat__text pt-2">Build real-time and event-driven solutions that process data with in-memory speed</div>
</article>
<article class="faqfeat pt-1">
<div class="faqfeat__iconwrap flexi"><img src="/img/faq/icon-faq2.svg" alt="" /></div>
<div class="faqfeat__text pt-2">Scale up and out across available memory and disk capacity</div>
</article>
<article class="faqfeat pt-1">
<div class="faqfeat__iconwrap flexi"><img src="/img/faq/icon-faq3.svg" alt="" /></div>
<div class="faqfeat__text pt-2">Take advantage of built-in SQL, high-performance computing and real-time processing APIs</div>
</article>
</div>
</section>
<!-- /.faqfeats-->
<section class="faqboxs container">
<article class="faqbox cardsimple">
<h3 class="faqbox__itemtitle h5">Is Ignite A Distributed Cache?</h3>
<div class="faqbox__anwser h5 pt-3">Yes</div>
<div class="faqbox__text pt-3">
<p>When Ignite native persistence is disabled, Ignite can function as a distributed in-memory cache with support distributed ACID transactions, SQL queries, high-performance computing APIs, and more.</p>
</div>
<div class="cardsimple__bottom"><a class="cardsimple__button button button--shadow" href="/use-cases/in-memory-cache.html">Learn More: In-Memory Cache</a></div>
</article>
<article class="faqbox cardsimple">
<h3 class="faqbox__itemtitle h5">Is Ignite A Distributed Database?</h3>
<div class="faqbox__anwser h5 pt-3">Yes</div>
<div class="faqbox__text pt-3">
<p>Ignite is a distributed database for high-performance computing with in-memory speed.</p>
<p>Data in Ignite is stored in-memory and/or on-disk, and is either partitioned or replicated across a cluster of multiple nodes. This provides scalability, performance, and resiliency.</p>
</div>
<div class="cardsimple__bottom"><a class="cardsimple__button button button--shadow" href="/arch/multi-tier-storage.html">Learn More: Multi-Tier Storage</a></div>
</article>
<article class="faqbox cardsimple">
<h3 class="faqbox__itemtitle h5">Is Ignite An In-Memory Database?</h3>
<div class="faqbox__anwser h5 pt-3">Yes</div>
<div class="faqbox__text pt-3">
<p>
Ignite multi-tier storage supports both in-memory and disk tiers. You can always disable the native persistence and use Ignite as a distributed in-memory database, with support for SQL, transactions and other APIs.
</p>
</div>
<div class="cardsimple__bottom"><a class="cardsimple__button button button--shadow" href="/use-cases/in-memory-database.html">Learn More: In-Memory Database</a></div>
</article>
<article class="faqbox cardsimple">
<h3 class="faqbox__itemtitle h5">Is Ignite An In-Memory Data Grid?</h3>
<div class="faqbox__anwser h5 pt-3">Yes</div>
<div class="faqbox__text pt-3">
<p>Ignite is a full-featured distributed data grid. As a grid, Ignite can automatically integrate with and accelerate any 3rd party databases, including any RDBMS or NoSQL stores.</p>
</div>
<div class="cardsimple__bottom"><a class="cardsimple__button button button--shadow" href="/use-cases/in-memory-data-grid.html">Learn More: In-Memory Data Grid</a></div>
</article>
<article class="faqbox cardsimple">
<h3 class="faqbox__itemtitle h5">Is Ignite An SQL Database?</h3>
<div class="faqbox__anwser h5 pt-3">Not fully</div>
<div class="faqbox__text pt-3">
<p>Although Ignite supports SQL natively, there are differences in how Ignite handles constraints and indexes.</p>
<p>Ignite supports primary and secondary indexes, however the uniqueness can only be enforced for the primary indexes. Ignite also does not support foreign key constraints at the moment.</p>
</div>
<div class="cardsimple__bottom"><a class="cardsimple__button button button--shadow" href="/use-cases/in-memory-database.html">Learn More: SQL Database</a></div>
</article>
<article class="faqbox cardsimple">
<h3 class="faqbox__itemtitle h5">Is Ignite A Disk- Or Memory-Only Storage?</h3>
<div class="faqbox__anwser h5 pt-3">Both</div>
<div class="faqbox__text pt-3">
<p>Native persistence in Ignite can be turned on and off. This allows Ignite to store data sets bigger than can fit in the available memory.</p>
<p>
Essentially, smaller operational data sets can be stored in-memory only, and larger data sets that do not fit in memory can be stored on disk, using memory as a caching layer for better
performance.
</p>
</div>
<div class="cardsimple__bottom"><a class="cardsimple__button button button--shadow" href="/arch/native-persistence.html">Learn More: Native Persistence</a></div>
</article>
<article class="faqbox cardsimple">
<h3 class="faqbox__itemtitle h5">Is Ignite A NoSQL Database?</h3>
<div class="faqbox__anwser h5 pt-3">Not exactly</div>
<div class="faqbox__text pt-3">
<p>Just like other NoSQL databases, Ignite is highly available and horizontally scalable.</p>
<p>However, unlike other NoSQL databases, Ignite supports SQL and ACID transactions across multiple cluster nodes.</p>
</div>
</article>
<article class="faqbox cardsimple">
<h3 class="faqbox__itemtitle h5">Is Ignite A Transactional Database?</h3>
<div class="faqbox__anwser h5 pt-3">Not fully</div>
<div class="faqbox__text pt-3">
<p>
ACID Transactions are supported, but only at key-value API level. Ignite also supports cross-partition transactions, which means that transactions can span keys residing in different partitions on different
servers.
</p>
<p>
At SQL level, Ignite supports atomic but not yet transactional consistency. A SQL transactions implementation is already
<a href="https://cwiki.apache.org/confluence/display/IGNITE/IEP-3%3A+Transactional+SQL" target="_blank">in the works</a> and will be released in Ignite 3.
</p>
</div>
<div class="cardsimple__bottom"><a class="cardsimple__button button button--shadow" href="/features/acid-transactions.html">Learn More: ACID Transactions</a></div>
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