Noooooo...SQL ...!!

There are three database revolutions that happened so far.   The first revolution was driven by the emergence of the electronic computer. The second revolution by the emergence of the relational database. The third revolution has resulted in an explosion of non-relational database alternatives driven by the demands of modern applications that require global scope and continuous availability. Lets have a look on these three waves of database technologies and discuss the market and technology forces leading to today’s next generation databases. 1950-1972 (Pre - Relational) 1951 - Magnetic Tape 1952 - Magnetic Disk 1961 - ISAM 1965 - Hierarchical Model 1968 - IMS 1969 - Network Model 1971 - IDMS 1972 - 2005 (Relational) 1970 - Codd's Paper 1974 - System R 1978 - Oracle 1980 - Commercial Ingres 1981 - Informix 1984 - DB2 1987 - Sybase 1989 - Postgres 1989 - SQL Server 1995 - MySQL 2005 - 2015 ( The Next Generation)  2003 - MarkLogic 2004 ...

There are many SQL databases so far.But i personally feel the 15 years history of SQL coming to an end as everyone is moving to an era of BigData . As experts say SQL databases are not a best fit for Big Data No Sql databases came into picture as a best fit for this which provides more flexibility in storing data. I just want to compare few popular NoSql databases that are available at this point of time.Few well known NoSql databases are MongoDb Cassandra Hbase CouchDb Neo4j NoSql databases differ each other more than the way Sql databases differ from each other.I think its one's responsibility to choose the appropriate NoSql database for their application based on their use case.Lets do a quick comparison of these databases. MongoDb Written in  :  c++ Main point : Retains some friendly  properties of SQL (Query, Index) Licence : AGPL(Drivers : Apache) Protocol : BSON (Binary JSON) Replication : Master/Slave Replication  and automati...

                       Relational databases have been around for many decades and are the database technology of choice for most traditional data-intensive storage and retrieval applications. Retrievals are usually accomplished using SQL, a declarative query language. Relational database systems are generally efficient unless the data contains many relationships requiring joins of large tables. Recently there has been much interest in data stores that do not use SQL exclusively, the so called NoSQL movement. Examples are Google’s BigTable and Facebook’s Cassandra . Lets have a look at NoSQL  vs  MySQL (common relational database system).   When to go for  NOSQL ?? In recent years, software developers have been investigating storage alternatives to relational databases. NoSQL is a blanket term for some of those new systems. Cassandra,BigTable, CouchDB, Project Voldemort, and Dynamo are all...