NoSQL databases are a different beast from the traditional Relational Database Management System (RBDMS) approach.
A NoSQL databases has the following attributes:-
- Works with non relational data, or a mix of relational and non relational. E.g. unstructured text, JSON, XML
- Is schema agnostic, so you can load in data whose variety changes over time
- Uses commodity hardware, so you can add multiple cheap servers to support large volumes of data or higher velocity of data ingestion and query
- Uses a language other than SQL for data query, could be custom (Cassandra CQL), or open standards based (W3C SPARQL), or search based discovery (MarkLogic /v1/search REST endpoint)
|NoSQL for Dummies
by Adam Fowler, Feb 2015
|The State of NoSQL 2016
by Adam Fowler, Feb 2016.
Available soon on Amazon Kindle and compatible devices!
Many NoSQL databases have open source variants, but for reasons I cover in NoSQL For Dummies, their feature set means you’ll need to buy the ‘Enterprise’ version for mission critical workload deployments – making them no different from buying commercial software.
There are many commercial-only NoSQL players, including Hypertable, MarkLogic, and Franz (AllegroGraph). These vendors have rich feature sets and customer doing heavy duty, mission critical workloads on NoSQL databases.
For further information on NoSQL you can read on this site:-
- NoSQL vs. Enterprise NoSQL
- There are different flavours of NoSQL. I cover each type, and also provide a useful vendor cheat sheet quick reference on their technical aspects, free to download!
- There are also related technologies that apply NoSQL architecture, including Search engines
- Buy NoSQL For Dummies!
Blog posts on NoSQL
You can view all my blog posts about NoSQL. Try starting with those below:-