Re:The AWS and MongoDB Infrastructure of Parse
by edejong on Thursday February 09, 2017 @06:24AM
(#13606163)
The following reasons come to mind wrt RDBMS:
- When properly normalized, future modifications to the relational model will often be much simpler. Transforming hierarchical data stores or document-based ones often involves changing much of the code which calls the database
- Query optimizers are often performing work which is difficult to implement yourself.
- When properly called, query composition allows more computation to be done close to the data.
- Knowledge of RDBMs is widespread allowing a low barrier to entry (is also a huge disadvantage, since it brings inexperienced people to use a sophisticated tool, leading to overgeneralized bad press)
- Index management in relational model is often simpler and logical
- Many RDBMs have a proven track-record of stability, code quality and feature completeness. Take a look at PostgreSQL, for example: GIN / GIST / PostGIS / date-time / windowing functions / streaming results. Also, the extensibility of postgres is astonishing, the community is warm and welcoming to beginners.
Obviously, I could make a similar list of disadvantages of RDBMs. It's just my experience that the advantages mostly outweigh the disadvantages.
- When properly normalized, future modifications to the relational model will often be much simpler. Transforming hierarchical data stores or document-based ones often involves changing much of the code which calls the database
- Query optimizers are often performing work which is difficult to implement yourself.
- When properly called, query composition allows more computation to be done close to the data.
- Knowledge of RDBMs is widespread allowing a low barrier to entry (is also a huge disadvantage, since it brings inexperienced people to use a sophisticated tool, leading to overgeneralized bad press)
- Index management in relational model is often simpler and logical
- Many RDBMs have a proven track-record of stability, code quality and feature completeness. Take a look at PostgreSQL, for example: GIN / GIST / PostGIS / date-time / windowing functions / streaming results. Also, the extensibility of postgres is astonishing, the community is warm and welcoming to beginners.
Obviously, I could make a similar list of disadvantages of RDBMs. It's just my experience that the advantages mostly outweigh the disadvantages.