Gone are the days where one database was used for the entire company. In today’s world even a normal mobile application requires more than one database. Welcome to the golden age of open source NoSQL databases. There are great and readily available open sour technologies with amazing communities behind them at their fingertips. The main thing to consider is which database is right for which use case. There are lots of options available and here are five NoSQL database that developers are familiar with.
For supporting JSON format MongoDB is a document oriented database. It is popular among the developers because of its use and easy operation and there is no need for a database administrator (DBA) to bootstrap. For flexible replication and sharding across nodes MongoDB is quite functionally robust. There is a multi-version concurrency control with MongoDB for ensuring consistency in older versions of data available in complex transactions. For scenarios with high loads and Big Data volumes MongoDB has suitable scenarios. Sharding, replication, and data center queries aggregates powerfully with index support and map/reduce functions. It is very easy to use NoSQl database in development phase at an earlier stage and during this phase the schema is not fully established.
One of the speedy datastores existing today is REDIS. An in-memory, open source, NoSQL database is known for its speed and performance. The community of developers are growing and vibrant in Redis. There are several data types featured implementing lots of functionalities and flows very simple. For delivering top performance, there are various requirements of stored data in RAM, when it comes to speed and performance Redis is considered the winner. If you have an issue with time then this database is the best choice.
As a useful hybrid of a column oriented database with a key value store, Cassandra is created at Facebook. The familiar feeling of tables is provided by the grouping families for offering good replication and consistency for good linear scaling. For managing really big volumes of data, Cassandra is most effective in use. A familiar interface is provided and the learning curve is not very steep for users. There are tunable consistency settings in Cassandra.
In JSON format over HTTP, CouchDB is accessed. For Web applications this is very simple. It is not jaw dropping that the best suited database for Web with good applications for offine mobile apps is called CouchDB. While choosing a reliable database developers should take an account of CouchDB where every change is stored on disk like a document revision therefore the main point addressed over here is redundancy and conflict resolution. A strong replication is boasted by CouchDB model that for allowing filtered replication streams.
In Hadoop there is a powerful database considered and the Hbase spreads among nodes using HDFS. It is very appropriate to use for handling huge tables comprising of billions of rows. Big Table model is followed by both Hbase and Cassandra. For linear scaling Hbase is sued for simply adding multiple nodes to the setup. For real-time querying of Big Data Hbase is best suited. For more information join the DBA course to make your career in this field as a DBA professional.
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