Document database helps in storing and querying data in a database in the same format that is used in their application code. DocumentIn application code, data is represented as object or a JSON document since it is an efficient way to model data. This performance plays an important role, and an example is Snapchat Stories feature, which works with DynamoDB. Amazon DynamoDB has been designed to provision consistent single-digit millisecond latency irrespective of the scale of the workloads. This type of database is used in gaming, ad-tech, and IoT industries. This is a highlight in the key-value database, which can’t be achieved with other databases. They have been discussed below: Key-ValueThis type of database can be partitioned and can be scaled horizontally. Types of NoSQL database There are different types of NoSQL databases.

This includes applications which have low latency. The different types of NoSQL databases are designed to work with OLTPs(online transaction processing) for multiple data access patters. Partition keys allow the applications to look-up for data based on key-value pairs, column sets or semi-structured documents that store serialized application objects and attributes. NoSQL can be used to provide object-based APIs thereby allowing application developers to store and retrieve data from in-memory data structures easily. Such an architecture helps in increasing the throughput of the application thereby improving the performance consistency. NoSQL databases can be partitioned easily since key-value pattern can be a convenient choice to scale out the application with the help of a distributed architecture.

Performance depends on the underlying hardware cluster size and network latency. This is the reason behind using NoSQL wherein high throughput, and low latency are major concerns. NoSQL database makes trade-offs by modifying the ACID properties which is essential and strict in relational databases, thereby providing a much more flexible data model, which has the ability to be scaled horizontally. They provide highly functional APIs and data types which are custom built to work with respective data models. It is optimized to handle specific data models and access patterns so as to provide higher performance, instead of trying to accomplish similar functionalities with relational databases. There is a facility provided by certain cloud providers to handle this scaling out of NoSQL databases behind-the-scenes as a fully managed service. NoSQL databases are designed to be scaled out with the help of distributed clusters of hardware instead of adding robust and expensive servers. This kind of flexibility in NoSQL models makes it ideal to be used with semi-structured and unstructured data. Features of NoSQL databasesThey provide flexible schemas so that the development is quick and iterative. NoSQL databases are a great choice to work with modern applications such as mobile, web, and gaming, since these fields require flexible, scalable, high-performing, and highly functional databases since they help in provisioning exceptional user experience. Such a model makes sure that data is optimized for horizontal scalability, and is used for flexible and intuitive development. Every column name is stored as an attribute within a single document. In contrast, in a NoSQL database, a record is usually stored in JSON format. The tables are normalized so as to reduce redundancy and provide optimal storage techniques. A relational database model is designed so as to enable the model to enforce referential integrity between the records stored in the database. Relationships are defined with the help of primary and foreign key constraints. Let us look at the comparison of building a relational and a non-relational database.In a relational database, records are usually normalized and stored in separate tables. These features can be achieved by modifying some of the data consistency restrictions which are usually very strictly applied on other databases. NoSQL databases are optimized specifically to work with applications which require large volumes of data, low latency, and flexible data models. Such models include documents, graph, key-value, in-memory, and search. They can be used with a wide variety of data models which can be used to access and manage data. This type of database is widely used since it is easy to develop applications using NoSQL and provides scalability. They have flexible schemas which are built to work with modern applications. AWS Tutorials By KnowledgeHut NoSQL databases are built to work with specific data models.

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