What is NoSQL? The 4 Best NoSQL Databases Explained | Apache Cassandra, HBase, MongoDB, Neo4j
Traditionally, the Structured Query Language or SQL have been the most popular and common type of databases. They rose to popularity in the 70’s, at a time when storage was extremely expensive – but then again, so were computers. Software engineers needed a way to normalize their databases to reduce data duplication and more efficiently use what little storage they had.
Eventually, technology outgrew the SQL database. A new type, dubbed NoSQL, was born. Now, this term has a double meaning, either “non-SQL” or “not only SQL” – subtly different. But either way, NoSQL databases store data in a format other than relational tables so both terms fall under the same umbrella.
The NoSQL database made an appearance as the cost of data storage per megabyte started to plummet. Technology was advancing, drives were increasing in capacity and also dropping in price. There was a shift – the primary cost of software development wasn’t storage anymore; it was the developers themselves. This shift filtered down into the way databases work, going from being focused on reducing data duplication to a better model to optimize developer productivity – hence why it’s used today.
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00:00 - Intro (what is NoSQL)
02:38 - SQL vs NoSQL
03:56 - Why NoSQL
05:39 - Apache Cassandra / CassDB
06:45 - Apache HBase
08:16 - MongoDB
09:27 - Neo4j
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