NoSQL DB is the best solution for supporting complex, unpredictable, and large volumes of data sets. It is highly scalable and solves most of the complex data problems. The current adoption of NoSQL DB is almost 20%, a figure that is expected to be doubled by the end of 2017.
Both the database management systems (RDBMS and NoSQL) have its own use cases. So it’s worth investing some time to know the future data management strategy, where NoSQL DB is growing rapidly. It will help organizations to plan data management accordingly and leverage the NoSQL technology.
Data management strategy is continuously evolving over the time period. RDBMSs are there for more than 20+ years, but the current market buzzword is NoSQL DB. NoSQL database has grown significantly over the last couple of years and it has a promising future. Thanks to the innovation of NoSQL DB, with features like high performance, scalability and the most important factor, low cost. But sometime, IT decision makers also get confused about all these new NoSQL technologies and they do not understand why to go for a NoSQL DB when there are RDBMSs for around two decades. Let’s have a look in the following sections to get an answer.
Data management strategy & NoSQL DB: Data management strategy is a critical issue for any organization. And the strategy has to be planned keeping all the data related factors in mind. These factors include nature of data, volume and velocity of data, scalability, performance etc. It has been observed that many leading organizations are already using NoSQL DB and getting benefit in terms of saving money, project completion time, better result etc. But there are some areas where the RDBMS is more suitable compared to NoSQL DB.
The most important consideration for selecting a database is the nature of the data which you want to leverage. If the data is having simple table structure, low volume and static schema then RDBMS is adequate. But, it has been observed that RDBMS based applications faces serious performance issue when the data size and the number of users increases many fold. As a solution to this problem some time RDBMS vendors recommend vertical scaling or horizontal scaling (clustering), which is complex in nature and expensive.
Here NoSQL plays an important role, as it has a strong foundation for supporting complex data structure, horizontal scaling (by using low price commodity hardware), sub-second response time and high availability. NoSQL DB supports schema-less data model, so it is a perfect fit for the world of dynamic schema. NoSQL DB also uses simple key-value mechanism for storing the data, so it is capable of supporting millions of users with extremely fast response and efficient storage/retrieval.
So, there is lot of critical factors which determines the data management strategy of an organization.
NoSQL solves complex data problems: From the above discussion it can be concluded that there must be a NoSQL database strategy for all the organization in near future. As the organizations are gradually realizing its benefit, the adoption rate of NoSQL DB is also very fast. NoSQL DB can also be considered as a complementary database management solution which fills the gaps found in traditional relational database model
NoSQL DB is a natural choice as it addresses the following
- It supports complex business applications, operational, real-time and predictive analytics.
- It supports faster data processing with the help of NoSQL DB engine that can scale horizontally across nodes in a clustered environment.
- It also supports low latency queries for mission critical applications where the response time is very critical for its success.
- It can manage huge column of structured, unstructured and semi structured data.
- It supports mobile, cloud, big data and web2.0 applications.
NoSQL solutions have three categories like key-value store, document DB and graph DB. But the vendors are putting their best effort to create a database platform to support the broader needs of enterprises and application development.
The rapid growth and adoption of these NoSQL databases is a clear indication of its effectiveness in the world of ever changing data requirement. NoSQL is going to emerge as an independent database platform to support specialized database and complex business. NoSQL data management strategy will also have a significant impact in the new world of big data where performance, scalability and agility are the major factors.