Client\/server architecture<\/li>\n<\/ul>\n\n\n\n3. SQLite<\/h3>\n\n\n\n
SQLite is a relational database management system written in C programming. It\u2019s not a standalone database but a library that developers can embed in their apps. SQLite, one of the most widely used and deployed database engines, belongs to embedded databases.<\/p>\n\n\n\n
SQLite is also an open-source database based on the SQL query language that can store data in a text file on a device. Since it\u2019s an in-process database library, it implements a self-contained, configuration-less, transactional SQL database engine. In addition, it comes bundled in mobile phones and computers as well as other apps we use on a daily basis.<\/p>\n\n\n\n
Key Features of SQLite:<\/strong><\/p>\n\n\n\n\n- Serverless and configuration-less database library<\/li>\n\n\n\n
- Full-featured SQL<\/li>\n\n\n\n
- Self-contained, meaning no external dependencies<\/li>\n\n\n\n
- Great for the app file format<\/li>\n\n\n\n
- Support for terabyte-sized database<\/li>\n\n\n\n
- Simple, fast, and easy-to-use API<\/li>\n<\/ul>\n\n\n\n
4. Microsoft SQL Server<\/h3>\n\n\n\n
Another relational database management system based on the SQL query language is from Microsoft. MS SQL Server supports transactional processing, analytical apps, and business intelligence in IT corporate environments.<\/p>\n\n\n\n
The primary function of the MS SQL Server is storing and retrieving information as per the request of software app users. Microsoft offers several different editions of its SQL-based databases, targeting different audience types with varying workloads.<\/p>\n\n\n\n
Key Features of MS SQL Server:<\/strong><\/p>\n\n\n\n\n- Breaks data silos down to give insights<\/li>\n\n\n\n
- Client-server execution and remote database access<\/li>\n\n\n\n
- Transactional control language<\/li>\n\n\n\n
- Security and authentication<\/li>\n\n\n\n
- Comprehensive application development<\/li>\n<\/ul>\n\n\n\n
5. MongoDB<\/h3>\n\n\n\n
MongoDB is a document-oriented open-source database based on the NoSQL system. It incorporates JSON-like documents with optional schemas, meaning the data structure can be changed as fields vary from document to document. MongoDB provides you with a server environment to create multiple databases and collections of documents.<\/p>\n\n\n\n
The document model of MongoDB is simple to learn and understand for developers and provides all the capabilities needed for complex application development. At its core, MongoDB is a distributed database system with high availability, geographic distribution, and horizontal scaling built into it.<\/p>\n\n\n\n
Key Features of MongoDB:<\/strong><\/p>\n\n\n\n\n- Support for the field, range query, and regular-expression searches<\/li>\n\n\n\n
- Indexing of fields with primary and secondary indices<\/li>\n\n\n\n
- High availability with replica sets<\/li>\n\n\n\n
- Real-time aggregation for data analysis<\/li>\n<\/ul>\n\n\n\n
6. Redis<\/h3>\n\n\n\n
Redis or Remote Dictionary Server is a key-value, open-source, and in-memory data structure store. It supports several different abstract data structures such as lists, maps, strings, bitmaps, streams, and others.<\/p>\n\n\n\n
Besides being a database system, Redis is also used as a cache, message broker, and streaming engine. It offers built-in replication, LRU eviction, transactions, Lua scripting, and on-disk persistence of different levels.<\/p>\n\n\n\n
Key Features of Redis:<\/strong><\/p>\n\n\n\n\n- Intelligent caching<\/li>\n\n\n\n
- Stream processing<\/li>\n\n\n\n
- Publication and subscription messaging<\/li>\n\n\n\n
- Geospatial features<\/li>\n\n\n\n
- Hyper logging<\/li>\n\n\n\n
- Bitmaps<\/li>\n<\/ul>\n\n\n\n