Top 15 Database for Web Apps to Use in 2025

Digital transformation, whether for a small business or a large corporation, has enabled companies to generate data at every interaction. Regardless of the organization’s size, every business requires a database to organize and securely store its critical information. To meet this need, database management system software becomes an essential tool.  A web app database can be compared to a dedicated room within an office where all crucial records and information are securely stored and easily accessed when needed. Given the sensitive nature of the stored data, it is important to exercise extreme caution when accessing it. This stored information can later be retrieved and analyzed using data visualization techniques to gain valuable insights. 

What are the Top Web App Database in 2025?

Choosing the best web app database for web applications is essential to ensure optimal performance and scalability. For instance, if you are developing an Azure web app database, you should focus on databases that seamlessly integrate with Microsoft Azure’s ecosystem for enhanced scalability and management. Here’s an overview of the top database for 2025.

1. Oracle

Oracle is the most widely used commercial relational database management system, built-in assembly languages such as C, C++, and Java. The latest version of this database, 21c, introduces numerous new features. Oracle stands out as the leading database management system and is the most widely used RDBMS. It is space-efficient, processes data more quickly, and comes with several useful enhancements, including JSON support directly from SQL.

          Type: RDBMS 

• • Operated by: Oracle Corporation (since 1977)
  • Best for: Enterprise applications, ERP systems, banking, e-commerce platforms, and large-scale data management
  • Best with : Java, Python, PHP, .NET, and frameworks like Spring Boot, Django, and Laravel 

2. MySQL

MySQL emphasizes stability, robustness, and maturity, making it a preferred choice for web application development solutions. Developed using C and C++, MySQL relies on structured query language (SQL) for managing data. The latest version, MySQL 8.0, offers enhanced recovery options. This leading SQL database is available in various editions, each tailored with unique features to cater to diverse requirements.

         Type: RDBMS

• • Operated by: Oracle Corporation (since 2010)
  • Best for: Web applications, SaaS platforms, CMS systems (like WordPress, Drupal, Joomla), and e-commerce solutions
  • Best with : PHP, Python, Java, Node.js, Ruby on Rails, and frameworks like Laravel, Django, and Spring Boot 

 3. MS SQL Server

Microsoft offers excellent toolset support for this top-tier database software, available for both on-premises and cloud environments. It is highly compatible with both Linux and Windows operating systems. MS SQL Server is a versatile multi-model database, capable of handling Structured Data (SQL), Semi-Structured Data (JSON), and Spatial Data. While it may not be as cutting-edge as some of the newer databases on the market, it has seen significant improvements and updates over the years, enhancing its reliability and functionality.

          Type: RDBMS (with multi-model support) 

• • Operated by: Microsoft Corporation (since 1989) 
  • Best for: Enterprise applications, business intelligence, data warehousing, and financial systems  
  • Best with : .NET, C#, Java, Python, PHP, and frameworks like ASP.NET Core, Django, and Spring Boot  

4. MongoDB

When considering top NoSQL databases for 2025, MongoDB is a key contender. It was the first Document Database management software introduced in 2009. One of the main difficulties with traditional databases is loading and accessing data using object-oriented programming languages, which often necessitate additional application-level mapping. MongoDB was developed to solve this issue by effectively managing Document Data.

          Type: NoSQL (Document-oriented Database) 

• • Operated by: MongoDB Inc. (since 2009) 
  • Best for: Real-time analytics, content management, IoT applications, mobile apps, and e-commerce platforms 
  • Best with tech: JavaScript, Node.js, Python, Java, PHP, and frameworks like Express.js, Django, and Spring Boot. 

5. PostgreSQL

Originally named POSTGRES, this database management system was developed by Michael, who was later honored with the Turing Award for his significant contributions to PostgreSQL. Written in C, PostgreSQL is used by organizations handling large volumes of data. It is widely utilized by gaming apps, database automation tools, and domain registration services.

          Type: RDBMS (Object-Relational Database System) 

• • Operated by: PostgreSQL Global Development Group (since 1996) 
  • Best for: Data analytics, geospatial applications, automation tools, gaming platforms, and domain services 
  • Best with tech: Python, Java, PHP, C/C++, Ruby, and frameworks like Django, Ruby on Rails, Spring Boot, and Laravel 

 6. IBM DB2

IBM also offered DB2 LUW for Windows, Linux, and Unix. DB2 11.5 is the most recent release, and it speeds up query execution. The list of databases for mobile apps supports the relational model, but it has grown significantly in recent years. It now supports object-relational features and non-relational forms such as JSON and XML.

          Type: RDBMS (with Object-Relational and Multi-model support)

• • Operated by: IBM (since 1983)
  • Best for: Enterprise applications, financial services, data warehousing, and mobile applications
  • Best with tech: Java, Python, C/C++, .NET, and frameworks like Spring Boot, Django, and ASP.NET Core 

 7. Cassandra

Cassandra is an open-core, distributed wide-column store database, developed in 2008, known for its high scalability. It is widely used across industries to manage large volumes of data. A key feature of Cassandra is its decentralized, leaderless architecture, which includes automatic replication and multi-data center replication, ensuring fault tolerance without failures. Cassandra operates with various infrastructures and processes. It shares a long history with HBase, and while both serve different use cases, they are tailored to specific needs based on their respective types.

          Type: NoSQL (Wide-Column Store) 

• • Operated by: Apache Software Foundation (since 2010) 
  • Best for: Real-time big data applications, IoT, recommendation engines, and high-availability system 
  • Best with tech: Java, Python, Go, Node.js, and frameworks like Spring Boot, Akka, and Express.js 

8. Redis

Redis is a widely used open-source database project. According to Stack Overflow’s Annual Developer Survey, it is ranked as the Most Loved Database platform. As a distributed, in-memory key-value store, Redis can serve multiple purposes. It is commonly used as a distributed cache and message broker, with optional durability features to ensure data persistence.

          Type: NoSQL (In-Memory Key-Value Store) 

• • Operated by: Redis Ltd. (originally released in 2009 by Salvatore Sanfilippo) 
  • Best for: Caching, real-time analytics, session management, message brokering, and high-performance applications 
  • Best with tech: Node.js, Python, Java, Go, PHP, and frameworks like Express.js, Django, Spring Boot, and Flask.

9. Elasticsearch

Elasticsearch is an open-core, full-text search engine built on Lucene, initially released in 2010 by Shay Banon. It offers a distributed, multi-tenant architecture and is equipped with a REST API for easy interaction. Elasticsearch enables horizontal scaling through automatic sharding and supports both structured and schema-less data (JSON), making it particularly well-suited for analyzing log and monitoring data.

          Type: NoSQL (Search & Analytics Engine) 

• • Operated by: Elastic NV (since 2010) 
  • Best for: Full-text search, log and event data analysis, application monitoring, and business intelligence dashboards
  • Best with: Java, Python, Node.js, Go, and integrations with frameworks/tools like Kibana, Logstash, and Spring Boot 

10. MariaDB

MariaDB is a Relational Database Management System (RDBMS) that is fully compatible with MySQL protocol and clients, allowing easy replacement of the MySQL server with MariaDB without any code changes. This database management system offers columnar storage and a massively parallel distributed data architecture. Compared to MySQL, MariaDB is more community-driven, prioritizing open-source development and contributions.

          Type: RDBMS 

• • Operated by: MariaDB Foundation & MariaDB Corporation (since 2009) 
  • Best for: Web applications, e-commerce platforms, data warehousing, and cloud-native applications 
  • Best with tech: PHP, Java, Python, Node.js, and frameworks like Laravel, Django, and Spring Boot

11. SQLite

SQLite is an open-source relational database management system (RDBMS) that was created in 2000. It is a top choice for databases as it requires no configuration, server, or installation. Despite its simplicity, SQLite includes many core features commonly found in traditional database management systems. It is widely used in mobile web development, including platforms like React Native, for its ease of integration and lightweight nature.

          Type: RDBMS (Embedded, Serverless) 

• • Operated by: D. Richard Hipp / SQLite Consortium (since 2000) 
  • Best for: Mobile applications, IoT devices, embedded systems, and lightweight web apps 
  • Best with tech: C/C++, Python, Java, Kotlin, Swift, and frameworks like React Native, Flutter, and Django 

12. OrientDB

OrientDB is an open-source, NoSQL multi-model database that allows businesses to take advantage of graph database capabilities without the need to create multiple systems to handle various data types. It supports graphs, documents, key-value, and object-oriented database models, offering enhanced performance, security, and scalability. This comprehensive management solution simplifies data handling while improving system efficiency.

         Type: NoSQL (Multi-Model: Graph, Document, Key-Value, Object-Oriented) 

• • Operated by: OrientDB Ltd. (acquired by SAP in 2017, now supported by the open-source community) 
  • Best for: Graph-based applications, social networks, fraud detection, recommendation engines, and multi-model data handling 
  • Best with tech: Java, Python, JavaScript, Node.js, and frameworks like Spring Boot, Express.js, and Django

13. Dynamo DB

DynamoDB is a non-relational database provided by Amazon. It is a serverless solution for mobile apps that automatically scales up and down while backing up your data. The database also includes built-in security, in-memory caching, and consistent latency.

         Type: NoSQL (Key-Value & Document Store) 

• • Operated by: Amazon Web Services (AWS) (since 2012) 
  • Best for: Mobile applications, serverless apps, gaming, e-commerce platforms, and IoT solutions 
  • Best with tech: Node.js, Python, Java, Go, .NET, and frameworks like Express.js, Spring Boot, and Django.

 14. Firebird

Firebird is a free SQL relational database management system that runs on Mac OS X, Linux, Microsoft Windows, and various Unix platforms. This top free database for web applications has enhanced the multi-platform RDBMS. It also provides a range of funding options, including Firebird memberships and sponsorship commitments.

          Type: RDBMS 

• • Operated by: Firebird Foundation (since 2000, forked from Borland’s InterBase) 
  • Best for: Cross-platform applications, small to medium business solutions, embedded systems, and web applications 
  • Best with tech: C/C++, Delphi, Java, Python, and frameworks like .NET, Django, and Spring Boot.

15. Neo4j

Neo4j is an open-source, Java-based NoSQL graph database introduced in 2007. It employs Cypher, a query language regarded as highly efficient and expressive for handling relationship queries. Unlike traditional databases, Neo4j stores data as graphs instead of tables. Its fast relationship system enables the creation of additional relationships over time, allowing for quicker access and manipulation of domain data as required.

          Type: NoSQL (Graph Database)  

• • Operated by: Neo4j, Inc. (since 2007)
  • Best for: Social networks, fraud detection, recommendation systems, knowledge graphs, and network management.
  • Best with tech: Java, Python, JavaScript, Node.js, and frameworks like Spring Boot, Express.js, and Django.

Conclusion

Choosing a web app database for web applications involves both technical and strategic considerations. These databases offer creativity, scalability, and efficiency, catering to a wide range of web application needs, from IoT to e-commerce. The right database can accelerate business success as companies adopt cloud-native technologies, flexible data models, and real-time analytics.

If you need guidance on choosing the right SQL database or require assistance with app development, feel free to reach out. As one of the leading web development company, intelegain specializes in creating scalable applications that deliver remarkable results on both desktop and mobile platforms.