Introduction To Apache Cassandra
What are the nuggets of Cassandra?
When you are looking for a scalable and robust website, then your go-to database should be Apache Cassandra. You get to experience the high-end performance with no compromise on the quality. Fault tolerance and higher scalability are also a few among the other advantages of commodity hardware. This platform is more suitable while using audience-specific data. Cassandra offers support for various data centers by providing them with lower latency and best-in-class services. Several companies like eBay, GoDaddy, Intuit and Netflix are leveraging Cassandra currently. The primary advantage of Cassandra is fault tolerance where it replicates various nodes. You can replace the failed nodes when you don’t have any downtime. Cassandra aims at outperforming more popular NoSQL alternatives during the process of benchmarking along with many real-time apps. This comes owing to its scattered basic architectural choices. With Cassandra, you do not have to worry about failure. You need not face any bottlenecks regarding the network. You would get more identical clusters in each and every node.
These are the important characteristics belonging to Cassandra:
- This is a column-oriented database, the occurrence where the database management system (DBMS) is going to store different data tables in the form of the column instead of a row.
- Facebook created Cassandra using Google code but later chose to open source it.
- The data model finds its roots in Google Bigtable whereas its distributed design is on the basis of Amazon Dynamo.
- Cassandra is 11 years old. It celebrated its 10th birthday in July 2018. The database is known to have enjoyed amazing growth factors since the day it was introduced. Many major players across the industry are using it when they wanted.
- Cassandra is mainly used across the globe to deploy more powerful hybrid cloud-based environments.
- This is the age when people would be expecting extremely positive and personalized user experiences with each and every interaction. Every organization would try to increase internal productivity as well as scalability. With Cassandra, you get more scalability with masterless architecture. Apple itself has announced that it holds above 75,000 nodes storing above 10 petabytes of data.
- A single cluster would hold above 1000 nodes with tonnes of operations regarding read and write on a regular basis dating 5 years back. It would have grown in its count of millions now.
- Cassandra would suit applications for which you cannot afford any data loss.
- You can very well use Cassandra for applications where you cannot risk data loss. This can happen even when your entire data centre is down.
- With Cassandra, you can know that you are always in charge of your data since it is more flexible in approach.
- There would not be any interruptions or downtime issues with respect to Apache Cassandra.
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