The rise of new data types is leading to new ways of thinking about data, and newer data storage and management technologies, such as Hadoop, Spark, and NoSQL, are disruptive forces that may eventually result in what has been described as a post-structured world.
But while Hadoop and NoSQL are undoubtedly growing in use, and a wider array of database management technologies in general is being adopted, the reality is that at least for now the relational database management system is still reigns supreme and is responsible for storing the great majority of enterprise data.
In fact, according to DBTA columnist and partner at Toba Capital, Guy Harrison, “It’s rare in the world of software to see a single architecture dominate as comprehensively as the relational database model. The relational database (RDBMS)—actually a hybrid of Codd’s relational data model, Gray’s ACID transaction model, and the SQL language—defined every significant new database system released between 1985 and 2000.”
And today, according to a recent Unisphere Research survey, on-premise relational database management systems and enterprise data warehouses still represent the central backbone of the enterprise data management infrastructure.Relational databases and enterprise data warehouses are still the primary sources of data growth.
Nonetheless, the relational database is adapting to changing enterprise expectations and requirements with increasing deployment options in the cloud and an expanding array of capabilities and integrations.
Best Relational Database