Graph Database Market was around US$ XX Mn in 2018 and is expected to grow at a CAGR of around XX % in the forecast period of 2019-2026.
A graph database also known as a graph-oriented database, is a specific kind of NoSQL database that uses the available graph theory for storage, mapping and query relationships. These graph databases are essentially being used as a collection of nodes and edges. Each of the node represents an object (such as a person or business) where each of the edge represents a connection or relationship present between two nodes.
The report study has analyzed revenue impact of covid-19 pandemic on the sales revenue of market leaders, market followers and disrupters in the report and same is reflected in our analysis.
The rise in need to have precision as well as higher response time for discovering new correlations as well as multi-dimensional management of data with query support that is based on real-time are some of the driving factors of the graph database market. However, it is the lack of technical expertise as well as high setup costs that are going to be the major restraining factors for the graph database market. In addition to this, it is the functionality constraints and impact of data integration on insight timelines that will likely be some of the major challenges for the graph database market growth.
The on-demand deployment model will likely have a high adoption rate when normally being compared to the on-premises deployment model. By using the on-demand-based deployment, various organizations can also save significant cost relating to the hardware, software, data,