Best Databases For Web App Development

Top 11 Databases for Web App Development

  1. MySQL
  2. PostgreSQL
  3. SQLite
  4. Microsoft SQL Server
  5. MongoDB
  6. Redis
  7. MariaDB
  8. Firebase
  9. ElasticSearch
  10. Oracle
  11. DynamoDB

1. MySQL

  • Easy to use and includes productivity features such as triggers, updatable views and stored procedures.
  • The InnoDB transactional storage engine of MySQL complies with the ACID model and provides the ability to improve data security through auto-commit and point-in-time recovery.
  • MySQL offers strict and flexible security features like password encryption and host-based verification.
  • It allows you to freely modify and use the source code as it carries no additional licensing costs.
  • It uses a very fast-thread memory allocation system.
  • MySQL supports C, C++, Java, Perl, PHP, Python, and Tcl for client-side programming.
  • MySQL is most suitable for applications that need a transactional SQL engine including heavy traffic websites or mission-critical applications.
  • It can be used where the production environment requires OS numbers to shrink or grow dynamically.
  • When the key requirement is horizontal scalability.
  • If your application needs a multi-master ACID transaction.
  • MySQL is best for apps that require a converged database (one with both OLAP and OLTP workload).

2. PostgreSQL

  • PostgreSQL is compatible with several programming interfaces like C, C++, Java, Perl, Python, Tcl, Ruby, and ODBC.
  • It is compatible with all major operating systems including macOS, Linux, Windows and Unix.
  • Postgres also offers support for data integrity such as UNIQUE, NOT NULL, Primary Keys, Foreign Keys, Exclusion constraints, etc.
  • It’s highly extensible and supports multiple data types.
  • It has multiple SQL features like multi-version concurrency control (MVCC), SQL subselects, multiple indexing, streaming replications, and more.
  • Postgres has a robust access control system and includes authentications like Generic Security Service Application Program Interface (GSSAPI), Security Support Provider Interface (SSPI), Lightweight Directory Access Protocol(LDAP), SCRAM-SHA-256, and so on.
  • It provides disaster recovery features such as write-ahead logging (WAH), point-in-time recovery, replications and tablespaces.
  • PostgreSQL is best suited when your application or website requires Distributed SQL to handle millions of transactions in globally distributed data.
  • When a query planner is required.
  • The app needs disaster recovery and reliability features like Active Standbys and PITR.
  • Geospatial data type and multi-model database are required.

3. SQLite

  • No setup or administration configuration is required.
  • Provide ACID transactions
  • Have full-featured SQL implementation with capabilities like JSON, partial indexes, common table expressions and indexes on expressions.
  • Small code footprints with easy to use API.
  • Offer commented source code that includes complete coverage for branch tests.
  • SQLite is self-contained with zero dependencies.
  • SQLite is a popular choice for database engines of electronic devices like set-up boxes, cameras, automobiles, aeroplanes, remote sensors, game consoles, drones, and more.
  • It works best as the database engine for websites that have low to medium traffic. The limit of web traffic that SQLite can handle depends on the dependency on the database a website has.
  • It can be used as the on-disk format for desktop applications like financial analysis tools, version control systems, CAD packages, etc.
  • SQLite is used in many applications as a cache for relevant content from RDBMS to minimize latency and reduce network and database server load.

4. Microsoft SQL Server

  • Microsoft SQL Server offers analysis service tools that help in creating and managing OLAP and data mining applications.
  • It is a proprietary relational database management system with different licenses such as commercial (Standard and Enterprise) and free (Developer and Express).
  • Provide guaranteed ACID transactions.
  • It is a multi-model database supporting Semi-Structured, Structured and Spatial Data.
  • The development environment is highly integrated with different Microsoft Products.
  • If using SQL Server Analysis Services (SSAS) to analyze data is required
  • If there’s a need to carry out ETL (Extract, Transform, and Load) operations via SQL Server Integration Services.
  • For applications used for report generation.

5. MongoDB

  • Built-in failover and replication ensure high availability
  • MongoDB provides end-to-end security of the data
  • It offers horizontal scalability and native sharding
  • MongoDB offers schema exploration and document validation
  • Have management tools for monitoring, automation, and backup
  • MongoDB is a fully elastic database as a service that includes built-in best practices
  • MongoDB can be used in the web app or website that requires a real-time view of the data.
  • Can be used for IoT platforms to analyze and act on data collected from the physical world.
  • If real-time analytics is required.
  • If you want to store and share content, build features as you like from a single database.
  • Schema-less data

6. Redis

  • Accessing data with Redis has low latency and high throughput.
  • Redis has a wide range of data structures like Lists, Strings, Sorted Sets, Sets, Bitmaps, Hashes, HyperLogLogs, etc.
  • It allows developers to write complex codes in fewer, simple lines.
  • Redis has a primary-replica architecture that enables a developer to build solutions that are highly reliable and offer consistent performance.
  • Redis is ideal for in-memory caching as it will reduce data latency, ease the load off your NoSQL or relational database, and improve performance.
  • Developers use Redis for storing and managing session data for internet-based applications for high availability and persistence.
  • It can be used in real-time streams, chat rooms, and social media applications for high performance.
  • It is popular among game developers for building real-time leaderboards.

7. MariaDB

  • MariaDB’s InnoDB storage engine provides ACID transaction features and supports foreign keys.
  • It offers high reliability and performance.
  • It has two licensing options, i.e, commercial Enterprise Server and free Community Server.
  • MariaDB supports complex and hierarchical graph data types via the OQGraph computation engine.
  • If guaranteed ACID transactions and structured data are necessities.
  • Multi-node data warehousing and multi-mastering clustering are needed.
  • If the app, web app or website requires a multi-model database
  • If the web app needs a converged database.

8. Firebase

  • As the SDK persists data to disk, Firebase-based apps remain responsive even when offline. Upon establishing connectivity, the device receives any missed changes synchronized with the current server state.
  • Firebase Realtime Database uses data synchronization instead of HTTP requests so the data in the connected devices updates in milliseconds.
  • It doesn’t need application servers and can be directly accessed through a mobile device or web browser.
  • If you want to personalize your user experience.
  • For defining the audience through user behaviour and other variables of analytics.
  • If you want to allow users to share or resize images in real-time.
  • Cloud-based even queuing is required.
  • Real-time notifications and chat/messaging are needed.

9. ElasticSearch

  • ElasticSearch is the most scalable search engine due to its automatic sharding and horizontal scalability.
  • It supports structured and schemaless data
  • ElasticSearch also supports cross-cluster replication and automatic replication.
  • Is a part of Elastic Stack that is used for observation of landscapes.
  • Near real-time text search with advanced machine learning is needed
  • For large data sets
  • Moderate to advanced full-text search is required
  • If semi-structured data is essential.

10. Oracle

  • It supports Document Store, Cloud, Graph DBMS, Key-value storage, PDF and blog storage.
  • It is cross-platform and supports different operating systems.
  • It is highly available, scalability, security, data warehousing, etc.
  • Proprietary RDBMS
  • ACID transaction guarantee is required.
  • Data warehousing
  • Converged database
  • In need of a blockchain table
  • A multi-model database is required.

11. DynamoDB

  • DynamoDB Accelerator (DAX) improves the read performance of the web app and reduces microsecond latency.
  • It supports automatic replication with global tables.
  • DynamoDB doesn’t have any server to manage, monitor and patch.
  • It provides server-side, native support for ACID transactions.
  • It is secured through a point in time recovery, encryption, and on-demand restore and backup.
  • When high connections and concurrencies for millions of users in milliseconds are required.
  • Scaling media throughput and lower latency is needed.
  • Need support for high traffic at extreme scaled events.

How To Choose An Ideal Database For Your Project?



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