Traditionally, enterprises would store data in SQL-based relational database management systems (RDBMS). All of that data was structured data—like financial statements, personnel files, product information and company records.
While SQL-based RDBMS are very capable pieces of technology in many ways, the proliferation of the internet and mobile devices has led to a surge in unstructured or unorganized data which RDBMSs can’t accommodate easily.
To meet the needs of the modern enterprise that generates enormous amounts of unstructured data in the age of big data, NoSQL databases have emerged.
Despite how the name might sound, these databases weren’t designed to displace SQL databases. In fact, some NoSQL databases—like OrientDB—actually support SQL language. A better way of thinking about NoSQL is that it’s the database designed to get developers and business professionals to “open their minds and consider new possibilities beyond the classic relational approach to data persistence.”
Whereas traditional RDBMSs are schema-oriented—which means that data stored in them needs to be structured or classified in way that adheres to the database’s “rules”—NoSQL databases can process unstructured data (e.g., blogs, videos, pictures, audio files and texts). In the age of big data, when organizations are collecting more and more data than ever before, this is no small feat.
Quite simply, NoSQL databases enable organizations to unlock the full potential of their unstructured data. It’s the reason why today’s leading enterprises are increasingly relying on them. In fact, a recent study predicts the NoSQL market will grow to $4.2 billion by 2020.
So what, specifically, sets NoSQL apart from its RDBMS counterparts?
While NoSQL boasts a number of benefits, it is not without its difficulties. Still, partnering with the right NoSQL vendor can help you overcome these challenges with ease.
Customers who use OrientDB Enterprise Edition get access to enterprise-grade support while using the world’s most established multi-model database that is ACID-compliant.
Whereas SQL databases usually store data in table format, NoSQL databases—which are much more versatile by design—open themselves up to multiple formats. Some of the more common data models found in NoSQL databases include: