Apache Cassandra Advantages

Apache Cassandra Advantages Apache Cassandra Advantages Back Home Categories Online Courses Mock Interviews Webinars NEW Community Write for Us Categories Artificial Intelligence AI vs Machine Learning vs Deep LearningMachine Learning AlgorithmsArtificial Intelligence TutorialWhat is Deep LearningDeep Learning TutorialInstall TensorFlowDeep Learning with PythonBackpropagationTensorFlow TutorialConvolutional Neural Network TutorialVIEW ALL BI and Visualization What is TableauTableau TutorialTableau Interview QuestionsWhat is InformaticaInformatica Interview QuestionsPower BI TutorialPower BI Interview QuestionsOLTP vs OLAPQlikView TutorialAdvanced Excel Formulas TutorialVIEW ALL Big Data What is HadoopHadoop ArchitectureHadoop TutorialHadoop Interview QuestionsHadoop EcosystemData Science vs Big Data vs Data AnalyticsWhat is Big DataMapReduce TutorialPig TutorialSpark TutorialSpark Interview QuestionsBig Data TutorialHive TutorialVIEW ALL Blockchain Blockchain TutorialWhat is BlockchainHyperledger FabricWhat Is EthereumEthereum TutorialB lockchain ApplicationsSolidity TutorialBlockchain ProgrammingHow Blockchain WorksVIEW ALL Cloud Computing What is AWSAWS TutorialAWS CertificationAzure Interview QuestionsAzure TutorialWhat Is Cloud ComputingWhat Is SalesforceIoT TutorialSalesforce TutorialSalesforce Interview QuestionsVIEW ALL Cyber Security Cloud SecurityWhat is CryptographyNmap TutorialSQL Injection AttacksHow To Install Kali LinuxHow to become an Ethical Hacker?Footprinting in Ethical HackingNetwork Scanning for Ethical HackingARP SpoofingApplication SecurityVIEW ALL Data Science Python Pandas TutorialWhat is Machine LearningMachine Learning TutorialMachine Learning ProjectsMachine Learning Interview QuestionsWhat Is Data ScienceSAS TutorialR TutorialData Science ProjectsHow to become a data scientistData Science Interview QuestionsData Scientist SalaryVIEW ALL Data Warehousing and ETL What is Data WarehouseDimension Table in Data WarehousingData Warehousing Interview QuestionsData warehouse architectureTalend T utorialTalend ETL ToolTalend Interview QuestionsFact Table and its TypesInformatica TransformationsInformatica TutorialVIEW ALL Databases What is MySQLMySQL Data TypesSQL JoinsSQL Data TypesWhat is MongoDBMongoDB Interview QuestionsMySQL TutorialSQL Interview QuestionsSQL CommandsMySQL Interview QuestionsVIEW ALL DevOps What is DevOpsDevOps vs AgileDevOps ToolsDevOps TutorialHow To Become A DevOps EngineerDevOps Interview QuestionsWhat Is DockerDocker TutorialDocker Interview QuestionsWhat Is ChefWhat Is KubernetesKubernetes TutorialVIEW ALL Front End Web Development What is JavaScript â€" All You Need To Know About JavaScriptJavaScript TutorialJavaScript Interview QuestionsJavaScript FrameworksAngular TutorialAngular Interview QuestionsWhat is REST API?React TutorialReact vs AngularjQuery TutorialNode TutorialReact Interview QuestionsVIEW ALL Mobile Development Android TutorialAndroid Interview QuestionsAndroid ArchitectureAndroid SQLite DatabaseProgramming aria-current=page>Uncat egorizedApache Cassandra Advantages Cassandra (14 Blogs)Apache Cassandra Advantages Last updated on May 22,2019 20.6K Views shivani kapahi2 Comments Bookmark With a steep rise in NoSQL databases, several organizations are making a transition from traditional databases to open-source, distributed and high performance ones like Cassandra. Since its origin at Facebook in 2008 by Prashant Malik and Avinash Lakshman, Cassandra has become Apaches one of the most popular projects. And why not? With the unique capacity to deliver near real-time performance, Cassandra makes lives of Web Developers, Software Engineers and Data Analysts far easier than it was in the company of traditional RDBMS. The wonders Cassandra is creating in the Big Data industry is phenomenal!Lets look at some of the Cassandra advantages and why companies like Facebook, eBay, Reddit, Twitter, NetFlix, IBM and several others are using Cassandra?Apache Cassandra Advantages:1.Open SourceCassandra is Apaches open-sou rce project, this means it is available for FREE! Yes, you can download the application and use the way you want. Infact, its open-source nature has given birth to a huge Cassandra community where like-minded people share their views, queries, suggestions related to Big Data. Further, Cassandra can be integrated with other Apache open-source projects like Hadoop(with the help of MapReduce), Apache Pig and Apache Hive.2. Peer to Peer Architecture:Cassandra follows a peer-to-peer architecture, instead of master-slave architecture. Hence, there is no single point of failure in Cassandra. Moreover, any number of servers/nodes can be added to any Cassandra cluster in any of the datacenters. As all the machines are at equal level, any server can entertain request from any client. Undoubtedly, with its robust architecture and exceptional characteristics, Cassandra has raised the bar far above than other databases.3. Elastic Scalability:One of the biggest advantages of using Cassandra is it s elastic scalability. Cassandra cluster can be easily scaled-up or scaled-down. Interestingly, any number of nodes can be added or deleted in Cassandra cluster without much disturbance. You dont have to restart the cluster or change queries related Cassandra application while scaling up or down. This is why Cassandra is popular of having a very high throughput for the highest number of nodes. As scaling happens, read and write throughput both increase simultaneously with zero downtime or any pause to the applications.4. High Availability and Fault Tolerance: Another striking feature of Cassandra is Data replication which makes Cassandra highly available and fault-tolerant. Replication means each data is stored at more than one location. This is because, even if one node fails, the user should be able to retrieve the data with ease from another location. In a Cassandra cluster, each row is replicated based on the row key. You can set the number of replicas you want to create. Just l ike scaling, data replication can also happen across multiple data centres. This further leads to high level back-up and recovery competencies in Cassandra.5. High Performance: The basic idea behind developing Cassandra was to harness the hidden capabilities of several multicore machines. Cassandra has made this dream come true! Cassandra has demonstrated brilliant performance under large sets of data. Thus, Cassandra is loved by those organizations that deal with huge amount of data every day and at the same time cannot afford to lose such data.6. Column Oriented: Cassandra has a very high-level data model this is column-oriented. It means, Cassandra stores columns based on the column names, leading to very quick slicing. Unlike traditional databases, where column names only consist of metadata, in Cassandra column names can also consist of the actual data. Thus, Cassandra rows can consist of masses of columns, in contrast to a relational database that consists of a few number of columns. Cassandra is endowed with a rich data model.7. Tunable Consistency: Characteristics like Tunable Consistency, makes Cassandra an incomparable database. In Cassandra, Consistency can be of two types Eventual consistency and Strong consistency. You can adopt any of these, based on your requirements. Eventual consistency makes sure that the client is approved as soon as the cluster accepts the write. Whereas, Strong consistency means that any update is broadcasted to all machines or all the nodes where the particular data is situated. You also have the freedom to blend both eventual and strong consistency. For instance, you can go for eventual consistency in case of remote data centers where latency is quite high and go for Strong consistency for local data centers where latency is low.8. Schema-Free:Since its creation, Cassandra is famous for being a Schema-less/schema-free database in its column family. In Cassandra, columns can be created at your will within the rows. Cass andra data model is also famously known as a schema-optional data model. In contrast to a traditional database, in Cassandra there is no need to show all the columns needed by your application at the surface as each row is not expected to have the same set of columns.It is because of the above reasons, Cassandra is in great demand among several companies, where MySQL is getting replaced by NoSQL databases. A database that was initially created to solve the inbox search issues at Facebook, has come a long way to solve Big Data problems. Today, Cassandra is used in diverse applicationswhether it is streaming videos or supporting various business units or production applications.Cassandra is Todays Big Data Solution!Related Posts:Get started with CassandraChoosing the right NoSQL DatabaseWhy Learn Cassandra with Hadoop?Recommended blogs for you How to prepare for Networking Interview Questions? Read Article How do you make a Career in Software Testing? 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