Horizontal scalability is a challenge and expensive Complexity increases in NoSQL query handling Most databases support high availability design Complex queries could have a performance impact. Most databases support high availability design.īetter performance (num of read/write operations per sec) for simple queries. Performance of read and write operations may be slower compared to NoSQL, however, the execution of complex queries could be better in a SQL database. Dynamic or varying and eventual consistency is acceptable Suitable where the relationship between entities is ‘Hierarchical’ in nature. Suitable where the relationship between entities is 'relational,' which must be strictly maintained, and data is strictly consistent all the time. Preferred option if data redundancy is expected Prefer databases in normalized schema where redundancy is very rare Preferred option if data is unstructured, frequently changing, and data/records are mainly distributed.ĭata format and data structure changes are very simple to insert without effecting the entire database. Changes to schema may require a change to the entire database, tables, and data updates. Preferred option if data is structured, fixed, or changes to the structure are very few or rare and data/records are mainly centralized. Databases have very few built-in security features, and data integrity is difficult to implement. Preferred if the security of data is not that important (public classified/restricted data). Data accuracy and consistency can be maintained Strong security features integrated into them, masking encryption, etc. Preferred if the security of data is of utmost importance.

Database Decision TreeĪCID compliance (Atomicity, Consistency, Isolation, Durability) for transaction-based applicationsĪlthough some databases adhere to CAP theorem (Consistency, Availability, and Partition tolerance), they lack in providing atomicity, and integrity properties The below section will help in deciding the right database for your requirement. It becomes imperative to choose the right type of database, and, if required, migrate the exiting RDBMS database to NoSQL to meet the new dynamics of business requirements, scalability, and performance aspects. Typical uses cases of NoSQL include data that is largely unstructured and needs flexibility in data models like content management, personalization, web search engines, storing large users profiles from heterogeneous sources, data streams, documents, digital communication (Storing messages, chats), big data, analytics, machine learning, and storing IoT data.

In a recent development, a few graph databases provide the options to store transactions adhering to ACID properties, but they are still in the early phases of adoption. You might also be interested in: SQL vs NoSQL: That Is the Query When it comes to scalability and performance of unstructured data, NoSQL is the obvious choice. There are various types of NoSQL databases that exist, like key-value, document-based, column-based, and graph-based. not structured in tabular format or have fixed data type formats and variables that do not possess tabular relationships. NoSQL (sometimes referred to as Not only SQL, non-SQL or non-relational) is a database that is suitable for managing data that is non-relational, i.e. Typical use cases are financial records, financial transactions, OLTP, ERP, CRM systems, e-commerce applications, etc. An RDBMS is also a choice where the security and accessibility of data are of utmost importance. Using an RDBMS is a choice for storing transactional data or records where the ACID (Atomicity, Consistency, Isolation, Durability) proprieties of transactions must be provided by an underlying database. SQL is a common query language used when dealing with an RDBMS. RDBMSs are mainly related to managing, storing, and manipulating structured data where the data format, columns, data type, attributes, and schema are fixed, and the relationship between entities needs to be consistently maintained. Not all the requirements fit in a NoSQL database or an RDBMS. Given the choice of a Relational Database (RDBMS) vs a NoSQL database, it has become more important to select the right type of database for storing data.

No sql vs mysql databases