Читать книгу Big Data - Seifedine Kadry - Страница 64

RDBMS is vertically scalable and exhibits ACID (atomicity, consistency, isolation, durability) properties and support data that adhere to a specific schema. This schema check is made at the time of inserting or updating data, and hence they are not ideal for capturing and storing data arriving at high velocity. The architectural limitation of RDBMS makes it unsuitable for big data solutions as a primary storage device.

For the past decades, relational database management systems that were running in corporate data centers have stored the bulk of the world’s data. But with the increase in volume of the data, RDBMS can no longer keep pace with the volume, velocity, and variety of data being generated and consumed.

Big data, which is typically a collection of data with massive volume and variety arriving at a high velocity, cannot be effectively managed with traditional data management tools. While conventional databases are still existing and used in a large number of applications, one of the key advancements in resolving the problems with big data is the emergence of modern alternate database technologies that do not require any fixed schema to store data; rather, the data is distributed across the storage paradigm. The main alternative databases are NoSQL and NewSQL databases.