Database - MCQ King

Vendor: Microsoft
Language: Transact-SQL (T-SQL)
Scalability: Suitable for small to large enterprises
Features: Offers robust security, integration with Microsoft products, business intelligence tools, and high availability options.
Use Cases: Widely used in Windows environments, business applications, data warehousing, and reporting.

Vendor: Oracle Corporation
Language: SQL and PL/SQL
Scalability: Suited for large enterprises and mission-critical applications
Features: Advanced security, scalability, high availability, and extensive data management capabilities.
Use Cases: Commonly used in finance, healthcare, large-scale enterprises, and data-intensive applications.

Vendor: Originally MySQL AB, now owned by Oracle Corporation
Language: Standard SQL with MySQL-specific extensions
Scalability: Suitable for small to medium-sized businesses and web applications
Features: Simplicity, speed, ease of use, and a strong open-source community.
Use Cases: Popular choice for web development, content management systems, and applications where rapid development is essential.

Vendor: Google Cloud Platform (GCP)
Managed Service: Fully managed relational database service.
Database Support: Supports MySQL, PostgreSQL, and SQL Server.
Scalability: Offers vertical and horizontal scaling options for improved performance and availability.
Security: Provides encryption, automated security patching, and integrates with Google Cloud IAM.
Integration: Seamlessly integrates with other Google Cloud services, making it suitable for building cloud-native applications.
Global Reach: Instances can be deployed in multiple regions globally.

Type: Self-contained, serverless, embedded database
Language: SQL
Scalability: Suitable for lightweight applications and embedded systems
Features: Zero-configuration, single-file database, transactional support, and wide platform compatibility.
Use Cases: Often used in mobile apps, desktop software, small-scale web applications, and embedded systems due to its lightweight nature and simplicity.

Vendor: PostgreSQL is an open-source relational database management system (RDBMS) developed and maintained by the PostgreSQL Global Development Group. It is not associated with a commercial vendor.
Database Support: PostgreSQL supports a wide range of database features, including SQL, JSON, XML, hstore, and various data types. It is also extensible, allowing you to create custom data types and functions.
Security: PostgreSQL offers robust security features, including role-based access control, SSL encryption, and client authentication methods. It provides a strong foundation for protecting sensitive data.
Scalability: PostgreSQL offers scalability options through features like table partitioning, streaming replication, and logical replication. These features allow you to scale your database horizontally and ensure high availability.
Use Cases: PostgreSQL is versatile and used in various applications, including web applications, content management systems, geospatial databases, data warehousing, and analytics. It is known for its data integrity, reliability, and extensibility, making it a popular choice for both small and large projects.

Vendor: MongoDB is developed and maintained by MongoDB, Inc., a software company specializing in database management systems.
Database Support: MongoDB is a NoSQL database, which means it doesn’t rely on a traditional relational database schema. It is designed to store data in flexible, semi-structured JSON-like documents.
Security: MongoDB offers various security features, including authentication, authorization, encryption at rest and in transit, and auditing. Security configurations can be tailored to specific requirements.
Scalability: MongoDB is known for its horizontal scalability. It supports sharding, which allows data to be distributed across multiple servers or clusters, making it well-suited for handling large datasets and high traffic.
Use Cases: MongoDB is commonly used in applications where flexibility in data modeling is important, such as content management systems, mobile applications, IoT platforms, real-time analytics, and big data applications. It’s favored for its ability to handle unstructured or semi-structured data efficiently.

Vendor: Firebase Database is a product of Google’s Firebase platform, which provides a wide range of tools and services for building and running mobile and web applications.
Database Support: Firebase Database is a NoSQL, JSON-based real-time database. It is part of the broader Firebase ecosystem, which includes authentication, cloud functions, storage, and more.
Security: Firebase Database offers a security model based on Firebase Authentication, allowing you to control read and write access to your data through rules that you define. It also provides server-enforced security rules to protect your data.
Scalability: Firebase Realtime Database is designed for real-time applications, making it highly scalable for handling concurrent connections and data synchronization. However, it is more suitable for smaller to medium-sized applications.
Use Cases: Firebase Database is often used in mobile and web applications that require real-time data synchronization and collaboration features. It’s a popular choice for chat applications, collaborative tools, gaming apps, and other projects where real-time data updates are crucial.