The legacy relational database – long the enterprise workhorse for storing and processing data – is being challenged by an explosion of data generated by internet, mobile and cloud applications. Not only is more data being generated, it is being generated by more sources – social, geo, sensor, machine, network (The Internet of Things), to name a few.
NoSQL, or “not only SQL,” offers a new approach to managing large volumes of structured, semi-structured and unstructured data. As an open source platform, NoSQL distributes workloads across commodity hardware which enables cost effective storage, processing and analysis of disparate data sets quickly.
NoSQL databases allow you to choose how data is stored and queried, thus organizations can design databases in ways that fit their business requirements. Relational databases require a schema to be defined before storing the data into many interrelated tables. NoSQL databases are schema-less and store data by aggregating it into a single object using key-value, tabular or document based methods. As a result, NoSQL offers more flexible data models because the data formats can change constantly without performance disruption.
In the data-driven economy, data is a valuable asset to organizations – but only if actionable insights can be gained. NoSQL databases provide the scalability, reliability and flexibility to be able to perform analytic queries quickly and efficiently.
While NoSQL databases address many of the challenges that traditional relational databases face, NoSQL should not be seen as a replacement to RDBMS environments. Knowing when to use NoSQL technology and how to implement it into your enterprise environment requires a clear strategy and understanding of the tools. If your data needs are exceeding your relational database’s capabilities, NodeLogix can help.