NoSQL database can be divided into the following four types:
It is not a relational database that means while creating a database we don’t have to pre-defined a schema. It is also called a non-relational database. It is used to store unstructured and semi-structured data.
Key-value storage: In this database data is stored in key-value pair where each key is associated with one and only one value in a collection. It is easy to use, scalable and fast. Some key-values databases are Redis, Riak, etc. Document-oriented Database assignment help: It stores data in JSON format. We don’t need to predefine schema for database and all information for an object or document stored in a single instance. Some of the popular databases are MongoDB, PostgreSQL, Elasticsearch, etc.
Graph Databases: It is a type of NoSQL database where data is stored as nodes, relationships, and properties. It uses nodes to store data entities, and relationships between entities are stored in edges. An edge has direction, start node, and end node which also describe parent-child relationships. Some of the popular graph databases are SPARQL, Neo4J, etc.
Wide-column stores: It is a schema-free database that stores data in records and a record has large numbers of columns. Some of the databases are Cassandra, HBase, etc.
Advantages of NoSQL Database
Performance – With NoSQL Data is nestled inside of one, so query performs better that’s why NoSQL database assignment help is faster than SQL databases.
Scalability – NoSQL databases are vertically scalable.
Flexibility – We can combine any type of data, both structured and unstructured with our evolving requirements.Stores Massive Amounts Of Data – It stores a huge amount of Data.
Disadvantages of NoSQL Database
Not Mature – It’s not as mature as SQL that means It isn’t easy to find the kind of information and support on NoSQL.
Huge databases – NoSQL databases are not built to remove duplicate data so maintaining data quality becomes a little difficult.
Cloud databases in Multiple uses in Database related Services
Database that store data in a virtual environment and is designed to run in the cloud. It has high flexibility, scalability, and availability. data is accessed using a cloud computing platform. some of the cloud platforms are Amazon Web Services(AWS), Microsoft Azure, Google Cloud SQL Science Soft, PhonixNAP, etc. Get the database system assignment help services.
Advantages of Cloud Databases
Online – we can easily access using a web browser from anywhere within the world.
Elasticity – A cloud database can store a huge amount of data and is elastic in nature which means with the growing needs we can allocate more space.
Disaster Recovery – In cloud storage, Data is stored and backed up on external devices that means in any system failure we can easily retrieve the data.
Disadvantages of Cloud Databases
Lack of total control – In cloud computing, we lack the ability to customize data storage.
Requires Internet – In the situation of internet connectivity failure, you can’t access the stored data.
Security – Cloud computing models do not have that many security standards available.
Difficult to migrate – It is difficult to migrate from one cloud storage provider to another cloud provider.
Object-oriented databases
It uses an object-based data model approach to store the data. It is managed by object-oriented database management systems (OODBMS). It follows ACID (Atomicity, Consistency, Isolation, Durability) properties. Some of the databases are Wakanda, ObjectStore, etc.
Hierarchical databases
Data is stored in a tree-like structure and data is related using parent-child relationship in this relationship parents can have multiple child records but child records have only one parent record. It is used for high-performance and high availability. We also provide perdisco assignment help. Some of the databases are IBM Information Management System (IMS), Windows Registry, etc.
Time series databases
It is used to store massive volumes and countless sources of time series data like sensor data, network data, real-time data. Some of the databases are Druid, eXtremeDB, InfluxDB, etc.
Network Databases
It follows a network data model. Data is stored in nodes and related to each other using links. It supports many-to-many relations. Each record has multiple children.
Personal Database
It is designed for a single user and stores data on the user’s system.
Operational Database
It creates and updates the database in real-time and uses to handle the daily data operations.
