• D. Neelakant
• E. Pradeep
• D. Prashanth Kumar

Now a day’s collecting the huge amounts of complex information is very common. It is very difficult to represent, store and manipulate complex information, data can be change in time or change in their structure, it is very difficult to represent in a system to store and maintain. To overcome the problems of traditional databases for storing, manipulating and retrieving data we have to use graph structures. It can be used by many applications that manage graph data by implementing queries. In this paper we proposed Index Based Graph Alignment algorithm for GDB. The main characteristics of algorithm provide dynamic structure, highly interconnected data, and ability to efficiently access data relationships in database.

RDBMS, Graph DB, Queries, Indexes, Distribution.

"Index Based Graph Algorithm (IBGA) for Query Optimization in Graph Databases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.209-213, March-2019, Available :http://www.jetir.org/papers/JETIRAR06047.pdf

"Index Based Graph Algorithm (IBGA) for Query Optimization in Graph Databases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp209-213, March-2019, Available at : http://www.jetir.org/papers/JETIRAR06047.pdf