Data structures can implement one or more particular abstract data types (ADT), which specify the operations that can be performed on a data structure and the computational complexity of those operations. A data structure is a particular way of organising data in a computer so that it can be used effectively. The idea is to reduce the space and time complexities of different tasks. Data structures provide a means to manage large amounts of data efficiently for uses such as large databases and internet indexing services. Usually, efficient data structures are key to designing efficient algorithms. Some formal design methods and programming languages emphasise data structures, rather than algorithms, as the key organising factor in software design. Data structures can be used to organise the storage and retrieval of information stored in both main memory and secondary memory.


Data Structure is mostly used in the following application  

  • Hash Table – used for fast data lookup – symbol table for compilers, database indexing, caches,Unique data representation.

  • Tree – dictionary, direct selling business

  • Suffix tree – fast full text searches used in most word processors.

  • Stack – undo\redo operation in word processors, Expression evaluation and syntax parsing, many virtual machines like JVM are stack oriented.

  • Queues – Transport and operations research where various entities are stored and held to be processed later i.e; the queue performs the function of a buffer.

  • Priority queues – process scheduling in the kernel

  • Radix tree – IP routing table

  • BSP tree – 3D computer graphics

  • Graphs – Connections/relations in social networking sites, Routing ,networks of communication, data organization etc.

  • Heap – Dynamic memory allocation in lisp


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