Arif Hasan Int. Journal of Engineering Research and Application www.ijera.com ISSN : 2248-9622, Vol. 8, Issue 2, ( Part -2) February 2018, pp.28-30 www.ijera.com DOI: 10.9790/9622-0802022830 28 | Analyze the Critical Factors Affecting the Performance Efficiency of Social Networking Databases Arif Hasan* Dr.P.Sasikala # * Research Scholar (Computer Science)Makhanlal University, Bhopal # Professor ,HOD New Media Technology Makhanlal University ,Bhopal Abstract: Before Starting Social Networking Sites RDBMS Was Dominant Database But As Soon As Social Media Came And For Handling It’s Unstructured Data Nosql Database Came Into Picture. Nosql Database Many Advantages over Traditional RDBMS. But Due To Rapidly Growing Database Its Performance Effects. There Fore In This Paper Different Critical Factors Like Memory Utilization, Consistency, Replication Are Analyzed So That Performance Of Social Networking Sites Can Be Increased Keywords: Social Networking Sites, Nosql, Memory Utilization, Consistency, Replication Factors --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 10-02-2018 Date of acceptance: 28-02-2018 --------------------------------------------------------------------------------------------------------------------------------------- I INTRODUCTION:- One Of The Major Challenge In Social Networking Site’s Database Is To Store, Manipulate And Analyze The Large Amount Of Data. Since According To International Data Corporation (IDC) The Volume Of Social Networking Database Will Reach Up To 32.4 Trillion By The End Of 2020[1].Relationship Exists Between The Social Networking Site’s Database Complexity Structure And It’s Performance. Different Types Of Nosql Databases Make Strong Framework For Social Networking Database. Different Types Of Social Networking Databases Are Used In Face-Book, Twitter, Linked-In, Whatsapp[2].These Databases Provide Scalability Features In Social Networking Databases That Is Why Their Complexity Is Comparatively Less Then Traditional RDBMS. Since These Social Networking Nosql Database Do Not Contain Any Fix Format Of Data Storage And Their Corresponding Different Keys For Retrieving A Data. But In Social Networking Database Huge Amount Of Data Is Stored That Result In To Degradation Of Efficiency Of Social Networking Database Therefore Different Nosql Databases Are Used At Different Places According To Their Applicability So That Efficiency Of Social Networking Database Can Be Increased. In This Paper Key Features Of Four Different Social Networking Site’s Nosql Databases Are Assessed And Compared On Different Parameters. And Then Analysis Is Done On The Basis Of These Comparisons. II CLASSIFICATION OF SOCIAL MEDIA – NOSQL Social Media Uses Different Nosql Technologies For Its Different Purposes. Myspace Uses Dynamodb[3] For Its Storage Mechanism. Facebook Uses Cassandra[4] Which Is Open Source And Column Oriented Database As A Core Database Along With Neo4j[5] Which Is Open Source Database Used A Structure Model Which Can Be Further Used For The Analysis Purpose. Table I Social Networking Sites Nosql Database Subcategories Used Facebook Cassandra, Hbase, Ne04j Twitter Flockdb, Cassandra, Hbase, Ne04j Linkedln Voldemort, Mongodb, Hbase, Allegrograph Flickr Mongodb, Neo4j Friendfeed Hbase, Cassandra, Orientdb Foursquare Mongodb, Couchdb, Riak, Cassandra, Infogrid Myspace Mongodb, Dynamodb, Ne04j Table I Describes Different Databases Used For Different Social Networking Sites. These Define As A Primary Parameters Used In A Efficient Query Processing Since These Databases Have Their Different Structure Model. RESEARCH ARTICLE OPEN