Today’s digital transformation has significantly empowered every company to produce accurate information at all touch points. Whether it’s a large-scale enterprise or a small private venture, every organization irrespective of all sizes needs proper web app development services to build a sophisticated database for storing and managing its data.
A database is a set of a vast range of structured & unstructured data stored in a system and adequately managed through DBMS or Database Management System. The data stored in the database is highly sensitive, hence companies need to be careful while accessing any data or information.
Managing a web application database is one of the crucial parts of any software development process & administration. It makes sure that the information is organized & stored securely & it can also be properly retrieved & processed in response to any user request. In this blog, we will discuss 2024’s best database for web applications and their benefits.
What is the Easiest Database to Use?
Your requirements and technological skills determine the appropriate database. If you want something incredibly simple, Google Sheets or Airtable offer basic databases with user-friendly interfaces.
They do not require coding and allow you to organize and manage your data easily. SQLite is an excellent choice for lightweight applications or local storage because it does not require a server and operates as a single file on your machine.
Firebase provides a simple, cloud-based database for those developing mobile apps or websites with real-time syncing and built-in authentication mechanisms. If you’re a Windows user seeking a simple yet effective application, Microsoft Access is an excellent choice for small enterprises and personal projects.
Finally, if you want to balance simplicity and functionality, these alternatives simplify data management without requiring much technical knowledge.
Types of Databases For Web Applications
Depending on your business model, industry domain, and other factors, your business application system will have certain requirements. Different databases types are used for different enterprise requirements. However, the database is technically divided into two types: SQL & NoSQL.
SQL or Structured Query Language is a relational database that comes with a relational structure. This is used for managing structured data only. On the other hand, the NoSQL database doesn’t have any relational structure & they are used to store unstructured data types. For your convenience, we have shared a complete comparison of both databases below.
| SQL Databases | NoSQL Databases |
|---|---|
| Mix of proprietary & open-source | Open source database |
| Comes with rational structure | No rational structure |
| Ideal for managing structured data | Best for storing unstructured & semi-structured data |
| Vertically scalable | Horizontally scalable |
| Examples: MySQL, PostgreSQL, Oracle, etc | Examples: MongoDB, Cassandra, Firebase, etc |
Enterprises have deeply relied on SQL to manage all their databases in web apps, but as cloud, microservices & distributed applications become popular, there are NoSQL options also available. Before you choose the right database, you must consider a number of factors such as size, structure & scalability requirements. Apart from that, you need to consider some of the following questions also:
- What type of data structure do you need?
- What is the amount of data you want to store?
- What is your total budget?
- Does it allow for support contracts & software licenses?
- What is the requirement for your data security?
- What third-party tools do you want to add to your database?
Best Databases For Web Applications In 2024
Finding out the right database option for a web app development may impact the scalability and success of any project. With too many options available, it’s quite challenging to select which one is the best for you. 2024’s widely-popular databases include:
1. MySQL:
MySQL is one of the best open-source relational databases developed by Oracle Corporation in 1995. According to the Stack Overflow developer survey, this database was used by 46.8% as of 2022. The robustness, maturity, and stability of this database make it perfect for web applications. Many development teams rely on Releem to automatically tune and optimize MySQL performance, ensuring databases run efficiently without manual adjustments. Moreover, MySQL database uses a structured language & written in C & C++.
Latest version: MySQL 8.0.33
Key features of MySQL database include:
- Easy to deploy & manage
- It supports Consistency, Atomicity, Isolation & Durability
- It’s an RDBMS or Relational Database Management System
- Provides fast-loading utilities with several memory caches to maintain servers
- Offers top-notch results without compromising any functionality
- Contains solid Data Security layers to offer complete security solutions
2. PostgreSQL:
Launched in 1996, PostgreSQL is also a very popular database used as a data warehouse or primary data store for web, analytics, geospatial, and mobile applications. This is also an open-source SQL-based RDBMS (relational database management system) that supports C, C++, C#, Ruby, Java, Python, and other programming languages. This agile database is compatible with different OSs such as Windows, Linux, Unix, MacOSX, etc. You can use SaaS tools to move your data to Postgres such as from MongoDB to Postgres in a few steps.
Latest version: PostgreSQL 15.3
Key features of the PostgreSQL database include
- Houses different constraints such as primary keys, foreign keys, exclusion constraints, explicit locks, advisory locks, etc
- Supports different SQL features like SQL Sub-selects, Multi-Version Concurrency Control, Streaming Replication, complex queries, etc.
- Compatible with different data types like Structured, Customizations, Primitives, Geometry & Documents.
- Supports MVCC or multi-version concurrency control
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3. Microsoft SQL Server:
Launched in 1989, Microsoft SQL Server is a powerful RDBMS used for transaction processing, analytics applications, and business intelligence in IT environments. It comes with built-in intelligence & enables businesses to boost their performance, security, and availability seamlessly. MS SQL Server comes in different editions with authentication & security features.
Latest version: Microsoft SQL Server 2022
Key features of the Microsoft SQL Server database include:
- Available on both Linux & Windows platforms
- Supports semi-structured, structured, and spatial data
- It has a custom-built graphical integration
- Helps users build different designs and tables without syntax
- Comes with several features for protection, monitoring, and data classification
- Gives alerts on security gaps, misconfigurations & suspicious activities
4. MongoDB:
MongoDB is a document-oriented open-source NoSQL database used for high-volume data storage. Written in JavaScript, C++, and Python, this is a very flexible and scalable database platform that removes relational DB approaches. MongoDB offers a high level of flexibility through load balancing and horizontal scaling capacities. This is a perfect option for web apps that need high performance.
Latest version: MongoDB 6.0.5
Key features of the MongoDB database include:
- Effectively supports ad hoc queries
- Highly scalable & flexible database
- Offers schema-less database
- Appropriate indexing for query executions
- Replication for data availability & stability
5. Oracle:
Oracle is a very popular RDBMS that is known for its high-performance and cost-optimization solutions. This is a commercial relational database written in C, C++ & Java. Oracle comes with a relational database architecture that offers an easy, scalable, performant solution for accessing, defining, and managing data. Enterprises looking to enhance real-time data replication and synchronization can explore Oracle GoldenGate replication to improve data availability and streamline database operations across multiple environments.
Latest version: Oracle 21c
Key features of the Oracle database include:
- Executes fast backup & recovery
- Provides multiple database support
- Offers superior scalability
- Offers better user controls and identity management
- Utilizes a single database for every data type
6. Redis:
Redis stands for Remote Dictionary Server and is a widely-used open-source database used for web applications and cache management. Redis can also be used with different streaming solutions like Amazon Kinesis & Apache Kafka to analyze & process real-time data.
This database also supports different data structures like lists, streams, bitmaps, strings, maps, and so on. Because of its high performance, Redis is vastly used in many sectors such as IoT, Gaming, Financial Services, etc.
Latest version: Redis 7.0.11
Key features of the Redis database include:
- Provides premium speed with improved caching & in-memory capabilities.
- Supports a variety of data structures (strings, hashes, lists, bitmaps, HyperLogLogs, etc)
- Compatible with different languages (Java, PHP, Python, C, C#, C++, etc)
- Offers quick access to data for training, deploying, and developing applications
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7. Cassandra:
Released in 2008, Cassandra is a distributed open-source NoSQL database that effectively manages vast amounts of data. It provides excellent scalability that supports multi-datacenter replication and automatic data replication. Cassandra database is ideal for applications that need prompt data access with high performance.
Latest version: Cassandra 4.1.0
Key features of the Cassandra database include:
- Easy to scale
- Highly scalable & comes with strong architecture
- Offers flexibility for data distribution
- Faster linear-scale performance
- Very flexible data storage
- Supports properties like Consistency, Atomicity, Isolation, and Durability
IBM DB2
IBM DB2 is a strong relational database management system (RDBMS) designed by IBM. It is designed to handle large-scale data workloads efficiently and reliably.
DB2 can handle structured and unstructured data, making it an excellent solution for organizations requiring advanced analytics and AI integration.
It is widely used in banking, healthcare, and large organizations because of its security, scalability, and performance.
Latest Version: IBM DB2 11.5
Key Features of IBM DB2:
- Improved performance and scalability for huge datasets, allowing faster query execution
- AI-infused capabilities improve performance and automate administrative procedures
- Supports multiple data models, including relational, graph, and document
- Advanced Security like encryption, access controls, and compliance tools ensure data protection
- Flexible deployment choices, including cloud, hybrid cloud, and on-premises
- Dynamic Storage Management automatically allocates and optimizes resources
MariaDB
MariaDB is a sophisticated open-source relational database that started as a fork of MySQL in 2009.
The original MySQL designers created it to offer a free and more advanced alternative. MariaDB is popular due to its scalability, performance, and open-source nature, making it a top choice for developers and corporations.
It is MySQL-compatible, allowing for simple migration while providing additional capabilities and optimizations.
Latest Version: MariaDB 11.3
Key Features of MariaDB:
- Open-source and MySQL-compatible for easy migration
- Supports high-performance storage engines for scalability
- Improved security features include data encryption and user role management
- Provides JSON, GIS, and dynamic columns for modern applications.
- Built-in clustering and replication ensure high availability while optimized query execution speeds up performance.
OrientDB
OrientDB is an open-source, multi-model NoSQL database that supports graph, document, object, and key/value data types.
It was developed by Orient Technologies and is noted for its flexibility and good performance, giving it a viable alternative to traditional relational databases.
OrientDB, unlike traditional databases, employs a graph-based approach to data relationships, allowing for faster and more efficient operations.
Latest Version: OrientDB 3.2.22
Key Features of OrientDB:
- Multi-model support (Graph, Document, Object, and Key/Value)
- Supports ACID transactions for data integrity
- Highly scalable and optimized for high-performance applications
- No need for complex JOIN operations, improving query speed
- Native SQL-like query language for easy adoption
- Embedded full-text search and analytics capabilities
- Security features include user authentication, role-based access control, and auditing
How Much Does The Web Application Database Cost?
In general, the average web app development cost ranges from $5,000 to $100,000. However, this cost depends on too many parameters like web app database complexity, features & functionalities, backend infrastructure, etc.
If you want to get a proper estimation of your web database application cost, you can take advantage of a web app cost calculator. For your convenience, we have listed the average web application development costs based on their categories.
| Factors | Basic Web Apps | Medium Apps | Complex Apps | Highly Complex Apps |
|---|---|---|---|---|
| Estimated cost | $3,000 to $15,000 | $15,000 to $60,000 | $60,000 to $2,50,000 | More than $250,000 |
| Timeline | 3 to 5 weeks | 6 to 20 weeks | 20 to 25 weeks | More than 9 months |
| Features | Simple landing page Static content |
Landing page Database integration Admin panel User accounts Online payment options Third-party integrations |
Landing page Huge database integration Admin panel Multipleuser accounts Online Payment options Third-party integrations Personalized features |
Landing page Top-notch database integration Admin panel Customized features |
| Examples | Online brochures Portfolio websites MVP |
Web portals E-commerce websites Online gaming sites with animation Web applications for businesses |
Automated billing systems Human resources management system (HRMS) Complex ecommerce websites Custom web apps |
On-demand web apps App for complex businesses High-end features with AI/ML integration Custom web apps |
Final Words
In the past, the process of selecting a database web application was straightforward. However, in this modern era of software development, this process has become very intrinsic as too many options are available today and the business requirements have also transformed.
For a business that works with small apps, NoSQL databases like MongoDB can be the best choice & for managing large & complex applications, databases like MySQL, MS SQL Server, and PostgreSQL can be the right choice. Would you like to know more about web applications with databases? Talk to our experts today.
FAQ’s
How do I choose a database for a web application?
The following steps will help you choose the right database for a web application
Step 1: Consider your data storage requirements
Step 2: Evaluate the overall scalability of a database
Step 3: Consider the documentation & support available
Step 4: Think about integration with the latest technologies
Step 5: Estimate the overall cost of the database solution
Which database is best for web applications?
MySQL is considered the best database used for web applications. How, there are also other popular options available in the market such as
- Oracle
- MS SQL Server
- PostgreSQL
- Cassandra
- MongoDB
- Redis
- IBM DB2
What are the top 3 most popular databases?
In terms of performance, scalability, and features, 3 most popular databases are:
- Oracle
- MySQL
- MS SQL Server
What are databases used for in Web apps?
Databases are organized collections of structured & unstructured data significantly used for retrieving or storing data, processing transactions, and different machine learning calculations. The data that is stored in the system is sensitive and properly managed through DBMS or Database Management System.
Anand Mahajan
Shivraj Dhaygude
