Top 15 Best Database for Web Applications to Use in 2023
“Data is the new fuel”. An organization’s decision-making and strategy rely on it. There is no doubt, that data has become an inevitable part of a successful business. Companies are spending millions to manage their data. For this, they want the best database for web applications and their other software.
The best web development company uses a suitable DBMS (Database Management System) tool according to the need of the business. It is crucial because the DBMS tool helps to create and manage the data. Today, a huge amount of data is used to train AI models for predictions by understanding human behavior.
If you want to know what are the best database tools for your web app, this blog will let you know. Moreover, you will also get to know why DBMS is crucial for a company. Let’s begin!
What Is Database?
According to Oracle : “The database is an organized collection of structured information or data. It is stored electronically in a computer”. Examples of data are Employee Names, ID, DOB, Phone number, Addresses, Prices, Costs, Number of Items, Product names, Images, Sounds, Animated data, and the list is long.
So, the data can be anything, but it should be useful for a firm or organization. To manage the data, companies use Database Management Systems or software tools. Data is stored in a computer in rows and columns. It means you can create a table to store data electronically.
With the help of the database management system, you can add, remove, update, and retrieve information. For example, when a new employee is hired, a company has to store his information like Name, Address, DOB, Phone Number, and ID in the company’s DBMS. In the same way, different businesses store data related to their businesses in the database. So that whenever need they can make changes to it.
To make the changes in the database, you need to use DBMS software. In the same way, DBMS is used to store web application data. The web-based database management system handles data associated with E-business, blogs, eCommerce, and emails.
Have a look at the image below, it shows the ranking of the most popular Database Management System worldwide, as of January 2023.
As you can see, the most popular DBMS in the world is Oracle as of January 2023. Likewise, Oracle, MySQL, and Microsoft SQL Server are highly competitive.
Around 91% of companies with 11 employees use CRM software. Moreover, according to Futuremarketinsights, the mobile CRM market size is US$26.2 billion. So, you can understand companies have huge data to manage.
Why Is Database Management System Important for Businesses?
Most businesses manage their database so that they can Get, Add, and Remove information easily. It helps in the smooth processing of the organization. There are many other reasons why DBMS is important for business organizations.
- Better Decision Making
- Increase Efficiency
- Improve Data Security
- Consistent and Reliable Data
- Improve Productivity
1. Better Decision Making
When an organization or eCommerce company has to make strategies for marketing, it requires studying the behavior and type of the customers. For this, the company has to analyze the database and the relational database management system. Thereby, the team can create better plans with the help of quality information from the database server of the company. Many big organizations use database automation tools to get information quickly for decision-making.
2. Increase Efficiency
Database software increases the organizational accessibility to the data. The organization can make decisions on time and implement them. It helps the end users to share the data quickly and effectively. Moreover, a better database for web applications provides high-quality information that also increases the efficiency of the organization. So, delay in the data processing can lead to slow processing and affect efficiency.
3. Improve Data Security
A database management system helps the users to share the data quickly across the organization. It decreases the chances of a data breach. Likewise, faster solutions to database queries provide high-quality information to the end users. For example, salespersons can get more accurate information from the sales perspective. Moreover, if the intellectual property gets stolen, you will not be able to manage your competitive benefits, if you don’t manage the database management system.
4. Consistent and Reliable Data
An organization with a database management system for web applications can have all the information in one place. It helps to fetch the information at any time. Likewise, manages the data for future usage. Companies make decisions on stored numbers, events, and historical data. So, they need to keep the data up to date. Updated data is reliable and gives predictability to reporting, forecast, and campaign outcomes. Moreover, a database management system provides structured data that helps to maintain consistency. Without it, you can’t compare apples with apples.
5. Improve Productivity
The database management system has information from the number of web pages to the total number of users. This type of management provides data integrity that improves productivity. The end users in the organization can make quick decisions and implement them for the profit of the organization. For this, the user requests the database software to get fast results. It improves productivity because all the work is done quickly and with reliability.
Terminologies Used in Database for Web Applications
Before you move ahead to read about the top database for web applications, you should know about some terminologies. It will help you understand the databases for web applications effectively. Here you go.
- CAP Theorem: CAP means, Consistency, Availability, and Partition Tolerance. It’s a distributed computer system or distributed database management software that can not perform all the tasks of the CAP simultaneously.
- ACID: This is an acronym for Attributes provided by a typical DBMS. The organizations that use the online transaction model have to provide a consistent system to the users. So, they use ACID.
- Atomicity: If single component access fails, the entire database process fails.
- Consistency: There is a need to provide information as per the rules set by the database system.
- Isolation: The database understands the importance of each activity so it prohibits the activities from interfering with each other.
- Durability: Backups preserve the activity of the database even if the database fails or not.
15 Best Databases for Web Applications to Use in 2023
There are many types of web applications, and they require a database management system to restore and refresh data in real time. The quick updating, creating, defining, and sending queries, require a unified and robust database for web applications. Here is the list of the best database software to choose the right database for your web applications.
- Microsoft SQL Server
- Dynamo DB
Oracle is the best cloud database. It is also called a commercial relational database management system. It is widely used by many organizations for big data storage. And the most recent version of the oracle database server is 19c which was launched in January 2019. Likewise, Oracle is built with assembly languages C, C++, and Java. Oracle is the most extensively used RDBMS. Many web development companies use it because it takes up less space and processes information fast.
- Backup and recovery
- Multiple databases support
- Market Presence
- Difficult to manage
- Improper documentation
- Insertion of huge data is slow
MySQL server was developed in the programming languages C and C++. It is one of the most reliable SQL server integration services because it provides operational features, adaptable licenses, and updated versions. Many web development firms select this structured query language because MySQL server focuses on stability, robustness, and maturity. 8.0 is the latest version of this MySQL database server.
Survey results by Stackoverflow
- Designed for web, cloud, and big data
- Best of Online Analytical Processing (OLAP)
- Restores data
- Automatic replication
- Not very efficient for large data
- Average debugging and developing tools
- prone to data corruption
- Doesn’t support SQL check constraints
3. Microsoft SQL Server
MS SQL Server is a relational database management system. The database stores and retrieves data and this is its primary function. Likewise, it provides numerous features or a large toolset. It works best with Linux and Windows. It’s a multi-model database that supports structured data, semi-structured data (JSON), and spatial data. You may not find this SQL database not as innovative as other databases, but it offers some considerable improvements. Moreover, 8.0.29 is the latest version of this SQL database.
- Many supported editions
- Document data online
- Various tools and apps
- Thriving online community
- Difficult incensing process
- No native support for source control
- Restricted compatibility
It was originally named Postgres. PostgreSQL is preferred by businesses that need a robust SQL database for a huge amount of data. This database server was developed in the C programming language for web development. PostgreSQL is the right database for several gaming apps, domain registrations, and database automation tools. In addition, it is the best database for Python.
- Free or open-source
- Effective UI
- Can run on multiple OS platforms
- Fault-tolerant database server
- Speed improvement requires
- Lack of index-oriented tables
- Not owned by one organization
IBMDB2 is a family of data management products. This database for a web application initially supported the relational model, but later on, extended to support object-relational features. Likewise, some non-relational structures (JSON and XML) as well. 11.5 is the latest release of IBMDB2. It can speed up the query execution when you request with a query language.
- Reliable and secure
- Excellent performance
- Offers scalability
- Lack of modern client tools
- Increased cost
MongoDB is an open-source cross-platform, document-oriented database program. It is a top NoSQL database. It was the first document database management software and was released way back in 2009. Developers were facing problems while loading and accessing data into RDBMS using object-oriented programming languages. During this process, developers had to use additional application-level mapping. It was a time-consuming and tiresome process. Thereby, MongoDB was developed to overcome this problem. Now, it is widely used in MEAN stack development.
- Quick set up
- Ad hoc query support
- Simple and scalable
- High speed
- May lead to corruption of data
- Document joining is a tedious task
Cassandra is a highly scalable database management system. Industries take the help of this data structure when they have massive data to handle. It is a decentralized database and has automatic replication and multi-data center replication. Consequently, this feature makes Cassandra a fault-tolerant base without any failures. You can find many operations and infrastructures in Cassandra.
- Continues data availability
- Cost-effective and low maintenance
- High performance
- Moving data can be improved
- Doesn’t support aggregates
- Sometimes unfit for transactional data
Redis is an in-memory caching database. It is used as a distributed in-memory key-value database. Likewise, Redis is a message broker with optional durability. Moreover, it supports various kinds of abstract data structures. So, it is highly available in-memory caching to decrease data latency. Examples of caching with Redis is persistent session caching, web page caching, query result caching, and caching of frequently used objects like files, images, and metadata.
- Simple and easy to use
- Flexible data structure
- Own hashing mechanism
- High performance
- Requires huge RAM
- Does support query language
- Basic security features
It is a full-text search engine based on the Lucene library. It’s not a database but offers many functions for data handling. You can use it to analyze logging or for data monitoring. Likewise, Elasticsearch has a distributed multi-tenant capability and a REST API. It provides horizontal scaling with the help of automatic sharing and REST API. Moreover, Elasticsearch supports structured and schema-less data (JSON).
- Compatible to run on any Java platform
- A real-time search database engine
- Allows full backups easily
- Documentation is available in many languages
- Sometimes split-brain situations occur
- No multi-language support to handle requests
- Sometimes not suitable for data in TB’s
MariaDB is a relational database management system. It is compatible with MySQL protocol and clients. Likewise, it is a free database and the best database for web apps. So, you can easily replace the web server MySQL with MariaDB without any code change. Moreover, MariaDB provides columnar storage with a highly parallel distributed data architecture. Thereby, many web app developers use this web server for database management.
- Improved query execution
- Clean configuration files
- SQL standards
- High-cost horizontal scale
- Sometimes slow while merging upstream
It is an open-source database with NoSQL multi-model database program. Numerous web app developers use OrientDB to manage the solutions with support for graphs, documents, key values, and object-oriented database models. Consequently, it improves security and performance.
- Suitable for both Graph and Document
- Supports multiple databases
- Easily add users
- Native windows service installation
- Require more schema design
It is a fully managed proprietary NoSQL database service by Amazon. So, it is part of Amazon Web Services. DynamoDB is a Serverless database. It is effective for mobile apps that scale up and down automatically. Moreover, this database has built-in security and in-memory caching features that make it one of the top NoSQL databases.
- Easy to setup
- Supports streams
- Time To Live (TTL)
- Weak querying model
- Difficult to predict the cost
- Lack of server-side updates
SQLite is an embedded SQL database. It is a library, but it’s not a standalone app. So, web app developers embed it with their apps to use its features. This database engine is written in the C programming language. Moreover, it is one of the popular databases for web applications. SQLite doesn’t require a server or installation. It is one of the many top databases for React Native apps.
- light-weighted database
- Effective performance
- Reduced cost and complexity
- No network access
- Not suitable for big projects
- Limited database size
Neo4j was released in 2007. It is an open-source, Java-based NoSQL database. You can save your data as graphs rather than tables in this database management system software. Neo4j developers call it an ACID-compliant transactional database with native graph storage and processing. Likewise, it is the best database software for web development.
- Complex data analysis is hard to visualize
- Best for a small dataset with API support
- Better performance
- Difficult to shard dense graphs
- Limited graph size
- No date data type support
Firebird is an open-source SQL relational database management system. It runs on Linux, Windows, Microsoft, and Mac OS. So, Firebird is a free database for web applications. Moreover, you can find various financing choices like membership to sponsorship commitments. In addition, you can find many ANSI SQL standard features.
- Affordable cost
- Low maintenance
- Works seamlessly on different platforms
- many features are not available
- No support for JSON and XML
So, these are the most popular databases for web applications. You can find the suitable one as per the size, type, and features of the software.
The database is the most important part of a web app development process. A database can make or break your app, so decide on the right database with a discussion with experts. Technource has world-class experts to give you suggestions for the right database for your mobile apps and websites.
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