RDBMS & Drawbacks of RDBMS

Drawbacks of RDBMSes

  • They cannot accommodate huge volumes of data. To handle large volumes of data, RDBMSes have to add more storage or more processing units to scale up vertically. Horizontal scalability involves adding new servers and spreading the load across them. It is difficult to run read/write operations in parallel in an RDBMS; so, it is scaled vertically.
  • Most of the data generated today are in a semi-structured or an unstructured format. Relational databases cannot store unstructured data because RDBMSes are schema-oriented and can store only structured data in the form of tables.
  • Big data is generated at a very high velocity. Relational databases cannot provide high velocity, i.e., they cannot deliver the optimal speed at which big data is generated and needs to be processed.



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