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Apache Cassandra Helps You To Manage Massive Data Without Interruption

April 23, 2017
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Apache Cassandra Helps You To Manage Massive Data Without Interruption
If you would like to manage massive amounts of data quickly, you should test drive Apache Cassandra. The Cassandra database will be the optimum choice when you require scalability including high availability without compromising performance.

Apache Cassandra features proven fault-tolerance and linear scalability on cloud infrastructure. Hence, you can make use of it for the deployment of mission-critical data. The platform provides support for replicating data across multiple datacenters. It provides lower latency for users and also will be able to survive regional outages. Hence, you can sleep peacefully without worrying about loss of data.

Cassandra has been deployed at Constant Contact, CERN, GoDaddy, Hulu, Instagram, Comcast, eBay, GitHub, Intuit, Reddit, The Weather Channel and Netflix. Moreover, you will find the use of Cassandra in more than 1500 companies that employ large data sets.

In Cassandra, the data is automatically transferred and replicated to multiple nodes for fault-tolerance. It also provides supports replication across multiple data centers. Moreover, you can replace failed nodes without any downtime.

According to statistics, Cassandra beats all other NoSQL alternatives in benchmarks because of the architectural behavior. You will not experience single points of failure because every node in the cluster is identical. Moreover, there will not no network bottlenecks.

Apache Cassandra is scalable because Apple has over 75000 nodes with 10PB of data. Meanwhile, Netflix manages 2500 nodes with 420TB data. Easou, which is the Chinese search engine has over 270 nodes with 300TB of data alongside 800 million requests per day. You can make use of Cassandra if you don't want to lose data. 

With Cassandra, you can choose either synchronous or asynchronous replication for each update. Moreover, the asynchronous operations are optimized with features such as Read Repair and Hinted Handoff. You can read and write throughput as soon as new machines are added without downtime or interruption to running applications.