Database Technologies

PostgreSQL 9.3  has lot of new improvement like the addition of new operators for JSON data type in postgreSQL, that prompted me to explore its features for NoSQL capabilities. MongoDB is one of NoSQL solutions that have gotten a great deal of attention in the NoSQL market. So, this time I thought to do some benchmarking with the NoSQL capability of JSON in MongoDB and the JSON datatype in PostgreSQL 9.3 For this benchmark, I have used the same machine with no optimization in installation of PostgreSQL and MongoDB (since I wanted to see how things work, out of box with default installation). And I used the sample data from MongoDB's site, around which I had developed the functions which can generate random data using the same sample for Mongo and for PostgreSQL. In this benchmarking, I have verified following: 1. PostgreSQL COPY Vs Mongo-Import 2. Data Disk Size of PostgreSQL and Mongo for same amount of data. 3. PostgreSQL INSERT Vs Mongo Insert Some specification befor

I heard a lot about NoSQL Databases. So, I thought to try out this database. I found it simple to use and easy to configure. To Download MongoDB, user can use following link: http://www.mongodb.org/downloads Installation is easy. If you are planning to use pre-built binaries, then you can untar the binaries and can start using it. To start. First Create a data directory as given below: mkdir -p mongodb/data Initialize the Mongodb as given below: "MongoDB Installation Directory"/bin/mongod --dbpath mongodb/data --logpath mongodb.log Default port on which MonogoDB runs is 27017 To Connect with MongoDB instance, user can use following command: ./mongo 127.0.0.1:27017/foo Or you can use following options: usage: ./mongo [options] [db address] [file names (ending in .js)] db address can be: foo foo database on local machine 192.169.0.5/foo foo database on 192.168.0.5 machine 192.169.0.5:9999/foo foo database on 192.168.0.5 machine on p