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| <h3 class="h3">Use Ignite Core Capabilities To Start Easily <br />And Scale Faster</h3> |
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| <li><a class="active" href="#" data-ftablink="frontcode-1">Multi-Tier Storage</a></li> |
| <li><a href="#" data-ftablink="frontcode-2">Distributed SQL</a></li> |
| <li><a href="#" data-ftablink="frontcode-3">ACID Transactions</a></li> |
| <li><a href="#" data-ftablink="frontcode-4">Compute APIs</a></li> |
| <li><a href="#" data-ftablink="frontcode-5">Machine Learning</a></li> |
| <li><a href="#" data-ftablink="frontcode-6">Continuous Queries</a></li> |
| </ul> |
| <a class="forntcodes__menumore fz20" href="/features/">View all features</a> |
| </div> |
| <div class="forntcodes__tabwraps"> |
| <div class="forntcodes__tab active" data-ftab="frontcode-1"> |
| <p class="forntcodes__tabtitle fz20 pb-1">Multi-Tier Storage</p> |
| <p> |
| Ignite scales up and out across memory and disk. By default, Ignite operates in a pure in-memory mode. But, by toggling a single configuration setting, you can turn a cluster into a database that can grow beyond the |
| cluster's memory capacity: |
| </p> |
| <div class="forntcodes__innertabs jsTabWrap"> |
| <div class="nativecode__tabctrls flexi"> |
| <a class="nativecode__link active" href="#" data-tablink="nativeTabXML">XML</a><a class="nativecode__link" href="#" data-tablink="nativeTabJava">Java</a |
| ><a class="nativecode__link" href="#" data-tablink="nativeTabNET">C#/.NET</a> |
| </div> |
| <div class="nativecode__tabs"> |
| <div class="nativecode__tab active" data-tab="nativeTabXML"> |
| <pre class="nativecode__codebox"> <code class="xml"><bean class="org.apache.ignite.configuration.IgniteConfiguration"> |
| <property name="dataStorageConfiguration"> |
| <bean class="org.apache.ignite.configuration.DataStorageConfiguration"> |
| <property name="defaultDataRegionConfiguration"> |
| <bean class="org.apache.ignite.configuration.DataRegionConfiguration"> |
| <property name="persistenceEnabled" value="true"/> |
| </bean> |
| </property> |
| </bean> |
| </property> |
| </bean></code></pre> |
| </div> |
| <div class="nativecode__tab" data-tab="nativeTabJava"> |
| <pre class="nativecode__codebox"> <code class="java">IgniteConfiguration cfg = new IgniteConfiguration(); |
| |
| DataStorageConfiguration storageCfg = new DataStorageConfiguration(); |
| |
| // Enable Ignite Persistence |
| storageCfg.getDefaultDataRegionConfiguration().setPersistenceEnabled(true); |
| |
| // Using the new storage configuration |
| cfg.setDataStorageConfiguration(storageCfg); |
| </code></pre> |
| </div> |
| <div class="nativecode__tab" data-tab="nativeTabNET"> |
| <pre class="nativecode__codebox"> <code class="csharp">var cfg = new IgniteConfiguration |
| { |
| DataStorageConfiguration = new DataStorageConfiguration |
| { |
| DefaultDataRegionConfiguration = new DataRegionConfiguration |
| { |
| Name = "Default_Region", |
| PersistenceEnabled = true |
| } |
| } |
| }; |
| </code></pre> |
| </div> |
| </div> |
| <div class="forntcodes__bottom"><a class="button" href="https://ignite.apache.org/docs/latest/memory-architecture">Learn More About Multi-Tier Storage</a></div> |
| </div> |
| <!-- /.forntcodes__innertabs--> |
| </div> |
| <!-- /.forntcodes__tab1 (END Multi-Tier Storage)--> |
| <div class="forntcodes__tab" data-ftab="frontcode-2"> |
| <p class="forntcodes__tabtitle fz20 pb-1">Distributed SQL</p> |
| <p> |
| Use Ignite as a traditional SQL database by leveraging JDBC drivers, ODBC drivers, or the native SQL APIs that are available for Java, C#, C++, Python, and other programming languages. Seamlessly join, group, aggregate, and |
| order your distributed in-memory and on-disk data: |
| </p> |
| <div class="forntcodes__innertabs jsTabWrap"> |
| <div class="nativecode__tabctrls flexi"><a class="nativecode__link active" href="#" data-tablink="sqlTabSQL">SQL</a></div> |
| <div class="nativecode__tabs"> |
| <div class="nativecode__tab active" data-tab="sqlTabSQL"> |
| <pre class="nativecode__codebox"> <code class="sql">SELECT country.name, city.name, MAX(city.population) as max_pop |
| FROM country JOIN city ON city.countrycode = country.code |
| WHERE country.code IN ('USA','BRA','ESP','JPN') |
| GROUP BY country.name, city.name |
| ORDER BY max_pop DESC LIMIT 3;</code></pre> |
| </div> |
| </div> |
| <div class="forntcodes__bottom"><a class="button" href="https://ignite.apache.org/docs/latest/SQL/sql-introduction">Learn More About Distributed SQL</a></div> |
| </div> |
| <!-- /.forntcodes__innertabs--> |
| </div> |
| <!-- /.forntcodes__tab2 (END Distributed SQL)--> |
| <div class="forntcodes__tab" data-ftab="frontcode-3"> |
| <p class="forntcodes__tabtitle fz20 pb-1">ACID Transactions</p> |
| <p>Ignite can operate in a strongly consistent mode that provides full support for distributed ACID transactions. Transact across multiple cluster nodes, caches, tables, and partitions:</p> |
| <div class="forntcodes__innertabs jsTabWrap"> |
| <div class="nativecode__tabctrls flexi"><a class="nativecode__link active" href="#" data-tablink="acidTabJava">Java</a><a class="nativecode__link" href="#" data-tablink="acidTabSharp">C#/.NET</a></div> |
| <div class="nativecode__tabs"> |
| <div class="nativecode__tab active" data-tab="acidTabJava"> |
| <pre class="nativecode__codebox"> <code class="java">IgniteTransactions transactions = ignite.transactions(); |
| |
| try (Transaction tx = transactions.txStart()) { |
| Integer hello = cache.get("Hello"); |
| |
| if (hello == 1) |
| cache.put("Hello", 11); |
| |
| cache.put("World", 22); |
| |
| tx.commit(); |
| }</code></pre> |
| </div> |
| <div class="nativecode__tab" data-tab="acidTabSharp"> |
| <pre class="nativecode__codebox"> <code class="csharp">var transactions = ignite.GetTransactions(); |
| |
| using (var tx = transactions.TxStart()) { |
| int hello = cache.Get("Hello"); |
| |
| if (hello == 1) { |
| cache.Put("Hello", 11); |
| } |
| |
| cache.Put("World", 22); |
| |
| tx.Commit(); |
| }</code></pre> |
| </div> |
| </div> |
| <div class="forntcodes__bottom"><a class="button" href="https://ignite.apache.org/features/acid-transactions.html">Learn More About Transactions</a></div> |
| </div> |
| <!-- /.forntcodes__innertabs--> |
| </div> |
| <!-- /.forntcodes__tab3 (END ACID Transactions)--> |
| <div class="forntcodes__tab" data-ftab="frontcode-4"> |
| <p class="forntcodes__tabtitle fz20 pb-1">Compute APIs In Java, Scala, Kotlin, C#, C++</p> |
| <p> |
| With traditional databases, for in-place calculations, you use stored procedures that are written in a language such as PL/SQL. With Ignite, you use modern JVM languages, C# or C++ to develop and execute custom tasks across |
| your distributed database: |
| </p> |
| <div class="forntcodes__innertabs jsTabWrap"> |
| <div class="nativecode__tabctrls flexi"><a class="nativecode__link active" href="#" data-tablink="compTabJava">Java</a><a class="nativecode__link" href="#" data-tablink="compTabSharp">C#/.NET</a></div> |
| <div class="nativecode__tabs"> |
| <div class="nativecode__tab active" data-tab="compTabJava"> |
| <pre class="nativecode__codebox"> <code class="java">// Broadcast the task to server nodes only. |
| IgniteCompute compute = ignite.compute(ignite.cluster().forServers()); |
| |
| // Each remote server node will execute the logic of the task/lambda below. |
| compute.broadcast(() -> System.out.println( |
| "Hello Node: " + ignite.cluster().localNode().id()));</code></pre> |
| </div> |
| <div class="nativecode__tab" data-tab="compTabSharp"> |
| <pre class="nativecode__codebox"> <code class="csharp">// Broadcast the task to server nodes only. |
| var compute = ignite.GetCluster().ForServers().GetCompute(); |
| |
| // Each remote server node will execute the custom PrintNodeIdAction task. |
| compute.Broadcast(new PrintNodeIdAction());</code></pre> |
| </div> |
| </div> |
| <div class="forntcodes__bottom"><a class="button" href="https://ignite.apache.org/docs/latest/distributed-computing/distributed-computing">Learn More About Compute APIs</a></div> |
| </div> |
| <!-- /.forntcodes__innertabs--> |
| </div> |
| <!-- /.forntcodes__tab4 (END Compute APIs)--> |
| <div class="forntcodes__tab" data-ftab="frontcode-5"> |
| <p class="forntcodes__tabtitle fz20 pb-1">Built-In Machine Learning</p> |
| <p> |
| Ignite machine learning uses built-in algorithms and tools, as well as TensorFlow integration, to enable the building of scalable machine learning models and avoid costly data transfers. Train, deploy, evaluate, and update |
| your ML and DL models continuously and at scale: |
| </p> |
| <div class="forntcodes__innertabs jsTabWrap"> |
| <div class="nativecode__tabctrls flexi"><a class="nativecode__link active" href="#" data-tablink="machineTabJava">Java</a></div> |
| <div class="nativecode__tabs"> |
| <div class="nativecode__tab active" data-tab="machineTabJava"> |
| <pre class="nativecode__codebox"> <code class="java">// Create the trainer |
| KNNClassificationTrainer trainer = new KNNClassificationTrainer() |
| .withK(3).withIdxType(SpatialIndexType.BALL_TREE) |
| .withDistanceMeasure(new EuclideanDistance()) |
| .withWeighted(true); |
| |
| // Train the model |
| KNNClassificationModel knnMdl = trainer.fit(ignite, dataCache, vectorizer); |
| |
| // Make a prediction |
| double prediction = knnMdl.predict(observation);</code></pre> |
| </div> |
| </div> |
| <div class="forntcodes__bottom"><a class="button" href="https://ignite.apache.org/docs/latest/machine-learning/machine-learning">Learn More About Machine Learning</a></div> |
| </div> |
| <!-- /.forntcodes__innertabs--> |
| </div> |
| <!-- /.forntcodes__tab5 (END Machine Learning)--> |
| <div class="forntcodes__tab" data-ftab="frontcode-6"> |
| <p class="forntcodes__tabtitle fz20 pb-1">Continuous Queries</p> |
| <p> |
| With relational databases, you use triggers to react to certain events. With Ignite, you deploy continuous queries that are written in a modern programming language such as Java or C# and process streams of changes on the |
| database and application side: |
| </p> |
| <div class="forntcodes__innertabs jsTabWrap"> |
| <div class="nativecode__tabctrls flexi"><a class="nativecode__link active" href="#" data-tablink="contTabJava">Java</a><a class="nativecode__link" href="#" data-tablink="contTabSharp">C#/.NET</a></div> |
| <div class="nativecode__tabs"> |
| <div class="nativecode__tab active" data-tab="contTabJava"> |
| <pre class="nativecode__codebox"> <code class="java">ContinuousQuery qry = new ContinuousQuery<>(); |
| |
| // The callback that will be triggered on the application side. |
| qry.setLocalListener(new MyLocalListener()); |
| |
| // The callback that will be executed on the server side. |
| qry.setRemoteFilterFactory(new MyRemoteFilterFactory()); |
| |
| // Deploy the query in the cluster. |
| cache.query(query);</code></pre> |
| </div> |
| <div class="nativecode__tab" data-tab="contTabSharp"> |
| <pre class="nativecode__codebox"> <code class="csharp">var cache = ignite.GetOrCreateCache("myCache"); |
| |
| var query = new ContinuousQuery( |
| new MyLocalListener(), // Will be triggered on the application side. |
| new MyRemoteFilter()); // Will be executed on the server side. |
| |
| // Deploy the query in the cluster. |
| var handle = cache.QueryContinuous(query);</code></pre> |
| </div> |
| </div> |
| <div class="forntcodes__bottom"><a class="button" href="/use-cases/#usecase2">Learn More About Continuous Queries</a></div> |
| </div> |
| <!-- /.forntcodes__innertabs--> |
| </div> |
| <!-- /.forntcodes__tab6 (END Continuous Queries)--> |
| </div> |
| </div> |
| </div> |
| <!-- /.forntcodes--> |
| </section> |
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| <h4 class="cardsimple__title">Applications Acceleration <br />& Scale Out</h4> |
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| Accelerate your existing applications by 100x using Ignite as an in-memory cache or in-memory data grid that is deployed over one or more external databases. |
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| <h4 class="cardsimple__title">Digital Integration Hub<br /> </h4> |
| <div class="cardsimple__text cardsimple__text--long">Create an advanced platform architecture that aggregates multiple back-end systems and databases into a low-latency and shared data store.</div> |
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| <h4 class="h5 frontconfcard__title pb-2">Ignite Summit</h4> |
| <p>This <strong>virtual conference</strong> is a chance to learn more about up-to-date in-memory computing solutions.</p> |
| <p>There are speakers from industry-leading companies and hundreds of participants from all over the world.</p> |
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