The first flat file databases represented information in regular, machine parse-able structures within files. The first solutions for data management used this approach and it is still a popular option for storing small amounts of information without heavy requirements. The simplest way to manage data on a computer outside of an application is to store it in a basic file format. Flat-file databases: simple data structures for organizing small amounts of local data You can skip ahead to the section on relational databases if you aren't interested in that background. This section is dedicated to historic database types that aren't used much in modern development. ![]() These may still find a foothold in certain specialized environments, but have mostly been replaced by more robust alternatives for production environments. Legacy database types represent milestones on the path to modern databases. Legacy databases: paving the way for modern systems In this guide, we'll take a look at how database types have evolved over time and what advantages and trade-offs are present in each design. Your choice of database type can have a profound impact on what kind of operations your application can easily perform, how you conceptualize your data, and the features that your database management system offers you during development and runtime. In the last few decades, new types have been developed to address changing requirements and different use patterns. Some are mainly historic predecessors to current databases, while others have stood the test of time. ![]() Many different database types have been developed over the years. The United States' most popular databases by state going into 2022ĭatabase types, sometimes referred to as database models or database families, are the patterns and structures used to organize data within a database management system.Traditional databases vs serverless databases.Introduction to common serverless challenges.Top 13 serverless computing and database providers.Introduction to database backup considerations.How microservices and monoliths impact the database.Syncing development databases between team members.Troubleshooting database outages and connection issues.What is connection pooling and how does it work?.Top 8 TypeScript ORMs, query builders, & database libraries: evaluating type safety.Top 11 Node.js ORMs, query builders & database libraries in 2022.Introduction to MongoDB Aggregation Framework.Introduction to MongoDB database tools & utilities.Working with dates and times in MongoDB.Introduction to MongoDB connection URIs.How to query and filter documents in MongoDB.How to manage databases and collections in MongoDB.How to manage authorization and privileges in MongoDB.How to manage users and authentication in MongoDB.Introduction to provisioning MongoDB Atlas.How to export database and table schemas in SQLite.How to update existing data with SQLite.How to perform basic queries with `SELECT` with SQLite.Inserting and deleting data with SQLite.Creating and deleting databases and tables with SQLite.An introduction to MySQL column and table constraints.How to create and delete databases and tables in MySQL.An introduction to PostgreSQL column and table constraints.An introduction to PostgreSQL data types. ![]() How to create and delete databases and tables in PostgreSQL.How to configure a PostgreSQL database on RDS.Comparing relational and document databases.Glossary of common database terminology. ![]()
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