Top 14 Databases For Web App In 2024 And Beyond

While businesses turn towards the digital environment, each one of them, whether small or large, has to come up with ways to manage information. Thus, every well-thought application requires a reliable database to facilitate smooth functioning. 

If you’re looking out for web app development services, you may have to eventually choose a database to handle all data. We understand that picking up one from the many choices available often gets confusing.

Therefore, this blog is all about the topmost databases for developing web apps. Dive down to get a brief about them. 

What Is a Database and Its Importance For Web App Development  

A database is a software system that allows you to store, manage, and retrieve data in a structured and organized manner. In the web application development process, databases are crucial because they enable you to store and retrieve large amounts of data efficiently and reliably.

Web applications often involve multiple users accessing and updating data simultaneously, and databases provide the means to ensure that the data is consistent and accurate. They allow developers to implement advanced search and filtering capabilities, as well as support for transactions and security features.

These are essential aspects of the secure and reliable functioning of web applications. Moreover, databases provide a way to store and retrieve data for the application to function, which means that they are fundamental to the persistence layer of web applications. By storing the application data in a database, it can be accessed and used across multiple sessions or devices, and can be backed up and restored in case of system failures.

Thus, databases are essential for web application development because they provide a reliable and efficient way to manage data, ensuring that web applications can function securely and reliably, and can scale to meet the demands of increasing numbers of users and data.

Top Databases For Web Applications In 2024

There’s a wide range of tools and databases to choose from when it comes to developing robust web apps for your business/clients. Here are the topmost picks from the many database options.  

The Oracle 

Oracle is a popular database choice for web application development due to its reliability, scalability, and security. It provides advanced tools for managing and storing data, making it an ideal choice for web applications that require high performance and flexibility. 

Oracle also offers a range of features specifically designed for web development, such as support for web services and integration with popular web application frameworks. With its advanced analytics capabilities, Oracle can help web developers extract valuable insights from their data to improve the user experience and drive business growth. 

Key Features

• High availability and scalability
• Storage management
• Simple APIs

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MySQL  

MySQL is an open-source relational database management system. It is known for its ease of use, scalability, and low cost. MySQL supports a variety of programming languages and web frameworks, making it a popular choice for web developers. 

It comes with an array of features such as data replication, backup, and recovery, which ensure high availability and disaster recovery. MySQL provides excellent performance for read-heavy applications and is ideal for web applications that require high throughput and low latency. It’s one of the most reliable and cost-effective database options.  

Key Features

• Efficiency and On-demand scalability
• 24×7 Server Uptime
• Comprehensive Workflow Control
• Data Security

PostgreSQL 

PostgreSQL is a powerful open-source relational database management system used for web application development. Its robustness, reliability, and scalability make it a preference. PostgreSQL offers a wide range of features such as ACID compliance, extensibility, and data replication. 

Thus it’s an ideal choice for developing web applications that require high performance, security, and flexibility. PostgreSQL also supports a variety of programming languages and web frameworks, making it a popular choice for web developers. 

It offers excellent support for complex queries and large amounts of data, making it suitable for data-intensive web applications. It is a versatile and reliable database option.  

Key Features

• Reliability and standards compliance
• Rich features and extensions
• Cost efficiency

MongoDB  

MongoDB is a popular NoSQL document-oriented database known for its scalability, performance, and flexibility. It offers a flexible data model that enables developers to store and manage unstructured data. It also offers horizontal scaling, automatic sharing, and native support for replication, making it easy to scale and manage large amounts of data. 

MongoDB is a popular choice for building a web application that handles large amounts of data and requires real-time data processing, such as e-commerce sites, social networks, and IoT applications.  

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Key Features

• Horizontal Scaling
• Load Balancing
• High Performance, flexible, and scalable

MS SQL Server 

MS SQL Server comes with a range of features such as transaction processing, data warehousing, and business intelligence, making it an ideal choice for web applications that require complex data processing and analysis. 

It also provides advanced security features, such as encryption and access controls, to protect sensitive data. SQL Server integrates well with other Microsoft technologies, such as .NET and Azure, making it a popular choice among web app developers. 

Key Features

• Availability, stability, and scalability
• Data Security and manipulation
• Multi-user environment

Redis 

Redis is an open-source in-memory data structure store that is commonly used as a database, cache, and message broker in web application development. It is known for its speed, flexibility, and low latency.

This database supports a wide range of data structures such as strings, hashes, lists, and sets, making it ideal for real-time data processing and caching. 

It comes with advanced features such as data persistence, high availability, and clustering, which ensure that data is always available and accessible. It offers fast and efficient data processing, suitable for real-time analytics, chat applications, and gaming platforms. 

Key Features

• High performance and scalability
• Simplicity and ease of use
• Flexible data structures

Firebird SQL  

Firebird is yet another free, open-source relational database management system. It can be trusted for its scalability, robustness, and low maintenance. Firebird offers a wide range of features such as ACID compliance, SQL support, and multi-generational architecture.

These contribute to high performing and flexible applications. It also provides advanced features such as database replication, backup, and recovery, which ensure high availability and disaster recovery.

Firebird is a suitable choice for web applications that require a cost-effective and reliable database solution, such as e-commerce sites, content management systems, and business applications.  

IBM DB2  

DB2 offers a wide range of features such as transaction processing, data warehousing, and business intelligence, making it an ideal choice for web applications that require complex data processing and analysis. 

It also provides advanced security features, such as encryption and access controls, to protect sensitive data. DB2 integrates well with other IBM technologies, such as WebSphere and AIX, making it a popular choice for web developers. 

Key Features

• AI-powered functionality
• High availability and disaster recovery
• Scalability
  

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Elasticsearch 

Elasticsearch is a distributed, open-source search and analytics engine that is commonly used as a database for web app development. It is known for its scalability, performance, and full-text search capabilities. 

Elasticsearch offers a flexible data model that enables developers to store and search unstructured and structured data, facilitating fast and easy data access.

It also comes with advanced features such as real-time search and analytics, horizontal scaling, and automatic shading. Thus it is easy to scale and manage large amounts of data. 

Elasticsearch is a reliable choice for web apps that handle large amounts of data and require fast and efficient search capabilities, such as e-commerce sites, social networks, and log analytics platforms.  

Key Features

• Scalability and Resilience
• Easy integrations and REST APIs
• Data Security

Cassandra 

Cassandra is a distributed, open-source NoSQL database that offers scalability, performance, and fault-tolerance. It follows a flexible data model that enables developers to store and manage unstructured data. 

It also provides advanced features such as automatic data partitioning, replication, and data compression. Cassandra is a suitable choice for apps that handle real-time analytics, IoT applications, and e-commerce sites.  

Key Features

• Open-source and scalable
• Distributed footprint
• Fault tolerance and schema free

DynamoDB 

DynamoDB is a fully managed, highly scalable NoSQL database service provided by Amazon Web Services (AWS). It’s well-known for scalability, low latency, and high availability. 

DynamoDB follows a flexible data model that enables developers to store and manage structured and unstructured data. It comes with features like automatic data partitioning, backups, and data encryption, facilitating easy scaling and management of large data. 

This database is a suitable choice for gaming applications, mobile apps, and real-time analytics platforms.  

Key Features

• Scalable performance
• Server-less
• Enterprise-ready

MariaDB 

MariaDB is an open-source relational database management system. It is a fork of MySQL and is known for its high performance, scalability, and security features. MariaDB offers a wide range of features such as ACID compliance, transaction processing, and SQL support, making it an ideal choice for web applications that require complex data processing and analysis. 

Its advanced feature sets include database replication, backup, and recovery, ensuring high availability and disaster recovery. MariaDB is a good choice for web applications that require a reliable and cost-effective database solution, such as e-commerce sites, content management systems, and business applications.  

Key Features

• Cost-effective, Cloud-based storage
• Perfect for enterprise web apps
• Easy to use and scalable

InterBase 

InterBase offers features like ACID compliance, transaction processing, and SQL support. Thus, making it an ideal choice for web applications that require complex data processing and analysis. 

It also provides advanced features such as full-text search, encryption, and replication, ensuring high availability and security.

InterBase is a dependable choice for web applications that require a reliable and scalable database solution, such as e-commerce sites, healthcare systems, and financial applications. 

Key Features

• Multi-generational architecture
• Self-reliant and flexible
• Secure

SQLite 

SQLite is a lightweight, file-based, open-source database management system known for its simplicity, portability, and small footprint. It offers a flexible data model that enables developers to store and manage structured data, making it an ideal choice for web applications that require basic data storage and retrieval. 

Its advanced feature set includes ACID compliance, transaction processing, and SQL support, ensuring data integrity and consistency. SQLite is suitable for web applications that require a local database solution, such as mobile apps, desktop applications, and small-scale web projects.  

Key Features

• Server-less and flexible
• Cross-platform DBMS
• Cost-efficient

OrientDB 

OrientDB is a distributed, open-source NoSQL database that offers high performance, scalability, and multi-model support. It offers features such as automatic data sharding, clustering, and indexing, ensuring high availability and scalability. 

OrientDB is suitable for web applications that require multi-model capabilities, such as social networking sites, content management systems, and recommendation engines.  

Key Features

• Zero configuration multi-master architecture
• High speed and secure
• Suitable for enterprise web application development

Teradata 

Teradata is a massively parallel, relational database known for its data warehousing capabilities. It offers advanced features such as data partitioning, data encryption, and data compression, ensuring high availability and security. 

Teradata is a good choice for developing web apps that require large-scale data warehousing, such as e-commerce sites, financial systems, and business intelligence applications. 

Key Features

• Linear scalability and parallelism
• Automatic distribution
• Good connectivity

Couchbase  

Couchbase is a distributed, open-source NoSQL database used for web application development. It offers a document-oriented data model that enables developers to store and manage both structured and unstructured data, making complex data processing and analysis easier. 

Couchbase comes with advanced features like automatic data partitioning, indexing, and query optimization, ensuring high availability and scalability. It’s suitable for applications that require real-time data processing, such as mobile and IoT applications, e-commerce sites, and social networking platforms. 

Key Features

• Flexibility, performance, and scalability
• Eventing and analytics
• Multi-model database

ArangoDB 

ArangoDB is a multi-model, open-source NoSQL database known for its flexible data model, high performance, and scalability. It offers a document-oriented data model, a graph data model, and a key-value data model, enabling developers to store and manage both structured and unstructured data. 

Its key features include data replication, indexing, and transaction processing, ensuring high availability and consistency. ArangoDB is a good choice for developing that require multi-model capabilities, such as social networking sites, content management systems, and recommendation engines.  

Amazon Aurora 

Amazon Aurora is a cloud-native, relational database management system. It offers a MySQL and PostgreSQL-compatible relational database engine that is designed to deliver up to five times the performance of standard MySQL and PostgreSQL databases, making it an ideal choice for web applications that require high transaction rates and low latencies. 

Its key features include automatic data replication, automatic backups, and point-in-time recovery, ensuring high availability and disaster recovery. Amazon Aurora is suitable for web applications that require scalable, high-performance relational databases in the cloud.  

Key Features

• High availability and durability
• Serverless configuration
• Highly secure

Neo4j  

Neo4j is a popular graph database management system that is designed to store, manage, and query graph data. Unlike traditional relational databases that organize data into tables and rows, Neo4j structures data as nodes, relationships, and properties. 

This allows for more flexible and efficient querying of complex relationships between data points. Neo4j is widely used in a variety of industries, including social networking, recommendation engines, fraud detection, and knowledge management. 

It is written in Java and supports ACID transactions, clustering, and scalability. With its powerful graph algorithms and intuitive query language, Neo4j is an excellent choice for applications that require complex data modeling and analysis. 

Key Features

• Flexible Schema
• Scalability and reliability
• Built-in web applications

TigerGraph   

TigerGraph is a graph database management system designed to store and process large-scale graph data. It features a distributed, parallel processing architecture that enables fast and efficient querying of complex relationships between data points. 

This database supports both real-time and batch data processing, and includes a range of built-in algorithms for graph analytics, machine learning, and pattern matching. It also offers support for a variety of data ingestion methods, including streaming data, and integrates with popular big data platforms such as Hadoop and Spark. 

With its high performance and scalability, TigerGraph is well-suited for a range of use cases, including fraud detection, recommendation engines, and social network analysis.

Key Features

• Scalability for massive datasets
• Enterprise-grade security
• Real-time performance

Conclusion 

Databases play a major role for your web applications to thrive in the long run. While you expect flexibility and scalability for future business plans and growth, we hope this blog helps you choose a suitable database for your project. 

Cubes Infotech is a web application development company with 17+ years of experience, creating robust software solutions for various industries. If you’re seeking reliable services for your upcoming or existing applications, our team of experts is all set! Feel free to fill the contact form below. We’ll reach back sooner than you expect.