join the nosql movement databases it' not the end of relational databases and certainly not the end of sqlas platforms like hive translate sql into mapreduce jobs for hadoop besidesnot every company needs big datamany do fine with small databases and the traditional relational databases are perfect for that if you look at the big data mind map shown in figure you'll see four types of nosql databases mongodb document store elasticsearch reddis memcache key-value store voldemort nosql hbase hypertable column database cassandra nosql newsql databases neo graph database hive hcatalog sql on hadoop drill impala new sql bayes db sensei new sql drizzle figure nosql and newsql databases these four types are document storekey-value storegraph databaseand column database the mind map also includes the newsql partitioned relational databases in the future this big split between nosql and newsql will become obsolete because every database type will have its own focuswhile combining elements from both nosql and newsql databases the lines are slowly blurring as rdbms types get nosql features such as the column-oriented indexing seen in columnar databases but for now it' good way to show that the old relational databases have moved past their single-node setupwhile other database types are emerging under the nosql denominator let' look at what nosql brings to the table