- Polyglot Persistence – Another term I learned from reading Flower’s Bliki at least six months ago or more.
- Big Data – Which is typically used to describe the problem of large data sets which cannot typically be accommodated by today’s traditional relational database systems due to cost, performance, and/or other operational concerns.
Another interesting discussion point, is the interest in other data store models some of which academic circles have previously explored. The recent interest, in my opinion is probably due to the changes in computers and networks since the time when the RDBMS became the preferred standard for data persistence many years ago. Ayende Rahien talks about this on a blog post. Some of different store models available (or in development) current NoSQL systems include:
- Document oriented stores (CouchDB, SimpleDB, RavenDB, Riak)
- Key-Value stores (Redis, Voldemort)
- Tabular or Column oriented stores (Cassandra, Hbase)
There are many more discussions taking place in today challenging how we think about persistence. Even traditional physical persistence mechanism is in question. A few years ago the idea of using anything other than a hard disk or a SAN for persistent storage would have been absurd. However, a physically distributed in-memory non-relational database is a viable option (most likely this option will be geographically distributed). Other topics of discussion include:
- Clustering techniques
- Distributed systems
Truth is I don’t know what to call this current persistence movement. To me it seems obvious that terms like “NoSQL”, “Big data”, and even “Polyglot Persistence” are insufficient. We are definitely now in a different era where a new persistence paradigm has begun. The relational database management systems no longer the only option. While those systems continue to have their place in today’s computing era, their market share is starting to shrink. Relational databases may even evolve to take advantage of the advancements made in this area.
The development, discussion, and research of new persistence solutions is happening now! Challenges issued to older traditional persistence systems are inspiring the revitalization, evolution, and enhancement of the existing software. Some of the old and new will survive, a few will thrive, and many will die. These are exciting times!