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Important questions
- relational
- key-value
- columnar
- document-oriented
- graph
- RDBMS databases arose in a world where query flexibility was more important than flexible schemas
- Column-oriented datastores were built to be well suited for storing large amounts of data across several machines, while data relationships took a backseat
- command line interface
- script
- graphical interface
- querying on arbitrary fields
- indexing for rapid lookup
- some support ad hoc queries; For others, queries must be planned
- Is schema a rigid framework enforced by the database or merely a set of guidelines to be renegotiated at will
- Does it support sharding
- What about replication?
- Does it distribute data evenly using consistent hashing, or does it keep like data together ?
- Is this database tuned for reading, writing, or some other operation ?
- How much control do you have over its tuning
- Talking about scalability without the context of what you want to scale to is generally fruitless
- Whether each datastore is geared more for
- horizontal scaling (MongoDB, HBase, Riak),
- vertical scaling (Postgres, Neo4J, Redis),
- something in between
Last modified 3yr ago