What database does Facebook use 2019?

What database does facebook use 2019

What Database does Facebook use 2019?

The database is the process of collecting data. It supports different methods of storing and utilizing data. Through this process management of data becomes easy. A particular database is mainly controlled by a DBMS or database management system.

A particular database management system enables the end users to read, update and delete data in a database. It importantly serves as an affiliate between the database and the application programs that makes sure that data is spontaneously organized and is easily accessible.

A particular database can be of different types. It can in the form of a simple text file or it can also be as complex as the relational database management system.

Different Database Systems used by Facebook

There are quite a number of databases that Facebook uses in order to keep a record of the various information that is being shared by different people all over the world. Among them, few of the databases are:

  • MYSQL
  • HBase
  • Cassandra
  • Haystack
  • Memcached

MYSQL:

Facebook uses MYSQL as the primary database management system for all the structured data storage such as the different wall posts, information of the various users, their timeline and so on. This particular data is being circulated between their different data centers.

There are quite many reasons for using MYSQL for Facebook. Since it is easy to manage the huge number of MYSQL servers, so providing good quality service becomes easy at the same time. It has flexible features of replication that widely includes the process of unsynchronized replication and other extraordinary features that protect the data and also helps in keeping the data intact.

HBase:

Popularly known as HydraBase, Facebook developed the messages back in the previous years to incorporate SMS, chat, email as well as Facebook messages in a complete inbox.  In HBase, the data and the information are physically fragmented which are then termed as regions.

A particular region server organizes each region, and a particular region server is responsible for more than one region. As soon as data is being attached to the HBase list, it is primarily listed in the WAL or the write-ahead log popularly known as the HLog.  Once copied down to the HLog, all the data gets stored in the in-memory MemStore.

Cassandra:

It is a method of storage system for the purpose of managing huge amounts of data structure that extends to different commodity servers. It also provides high-quality service that is available without failure. The primary target of Cassandra is to function on the top infrastructure of countless nodes. Within this limit, most of the components fail to work properly.

Cassandra mainly uses the technique to accomplish the extensibility and availability. It was designed to solve the problem of the storage needs of the Inbox search problem. Inbox search is a feature that helps users to search through Facebook Inbox.

Haystack:

Facebook’s photo’s application is one of the most attractive features. Till now the Facebook users have uploaded about 15 billion photos which in turn have made Facebook one of the biggest photo sharing website. When each photo is uploaded, Facebook stores as well as generate a total of four images which are of different sizes. It, later on, changes to a total amount of 60 billion images and takes about 1.5 petabytes of storage.

The new Haystack photo infrastructure combines photo serving tier and the storage tier altogether into a new tier.  It instruments an HTTP based server of a photo that stores pictures in a universal object store termed as Haystack.

Memcached:

Memecached is a process of in-memory solution only for caching. Facebook is the main and primary user of Memcached. Facebook has always used Memcached as a stepping stone to build a properly arranged key-value store and calibrate from a single bunch of Memcached server to multiple clusters.

Facebook wasn’t the first and the only social network on the internet, but it efficiently scaled above billions of users, and the cache infrastructure played an important role to make this happen. The reason behind using Memcached by Facebook is it gives low inherent access to a storage shared pool at an affordable cost. This helps Facebook to construct a data-intensive facility that may also be impractical.

Summing up all the elaborate discussion that has been made throughout, it is quite clear that various ways of handling the various database management systems. Facebook has constructed a framework to constrain different database management systems in order to keep a record of its users’ data and information.

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