Top 15 Best Databases for Web Applications
                     Top 15 Best Databases for Web 
Applications 
Source: https://proquantic.com/
Importance of databases in Web 
Applications
Increases speed, reduced latency
• Slow databases mean slow web applications.
• A study by Google found that even a 1-second delay in 
the page's load time can reduce the conversion rate by 
7%.
• Optimized databases ensure that the queries are 
executed in milliseconds. 
Future proof web apps with scalability
• Scalability: With the growth of your business, the 
volumes of data generated grow too. A robust database 
can handle billions of requests without any downtime.
• Security: A secure database, in this case, will protect 
your web applications from Unauthorized access, SQL 
injection attacks, Ransomware threats. 
Facilitates Compliance and Data Integrity
• Frameworks like HIPAA and GDPR also require strict 
security measures to ensure the protection of sensitive 
information. 
• Security: A secure database, in this case, will protect 
your web applications from Unauthorized access, SQL 
injection attacks, Ransomware threats. 
Types of Databases for Web Applications
SQL vs NoSQL Differences
• Differences based on data structure
• Differences based on scalability
• Differences based on query language
• Differences based on concistency vs availbility 
Overview of SQL database
• Structured database: SQL databases the data into 
columns and rows and enforces relationships through 
foreign and primary keys. This approach ensures easy 
querying and data integrity.  
• ACID compliance: SQL databases are compliant to 
ACID properties - Atomicity, Consistency, Isolation, and 
Durability. These factors make the databases reliable 
for the applications who require consistency in 
transaction. 
Overview of NoSQL database
• Flexible Schema: NoSQL databases never enforce a 
strict schema. This flexibility enables developers to 
modify and store data without any predefined structure, 
making them ideal for dynamic applications like social 
media platforms, IoT data storage, and CMS. 
• High scalability: NoSQL databases are ideal for 
distributed architectures, which makes them scalable. 
They use horizontal scaling, where the data is divided 
across various nodes, ensuring the effective and efficient 
handling of high-user traffic and large datasets.   
What are the key factors for choosing a database?
Performance and scalability
• Vertical and horizontal scaling for accommodating dynamic growth
• Optimal load balancing for efficient traffic distribution
• Automated indexing for rapid execution 
• The most ideal databases: MongoDB, Cassandra for high-speed 
distributed applications; MySQL and PostgreSQL for transactional 
systems. 
Data protection and security
• Compliance with SOC 2, HIPAA, and GDPR for regulated industries
• RBAC or role-based access for limiting exposure
• End-to-end encryption for protecting sensitive data
• MFA or multi-factor authentication for securing access 
Economical
• Enterprise solutions like Microsoft SQL server that offer advanced 
features. But they are heavy on the cost side
• Open-source databases like MySQL and PostgreSQL reduce 
licensing fees
• Serverless solutions like Firebase Firestore or Amazon Aurora are 
pay-per-use 
Easy to integrate
• Is compatible with CI/CD pipelines for automatic deployments
• Extends support for various programming languages like Java, 
Node.js, and Python
• GraphQL and REST APIs for efficiently retrieving data 
On-Premises hosting Vs Cloud
• The options between on-premises and cloud-hosted databases 
depend on factors like maintenance costs, security, and scalability.
• On-premises databases like Microsoft SQL Server or Oracle provide 
greater security and control but require dedicated infrastructure 
and resources.
• Cloud-based databases like Google Cloud Spanner or AWS RDS are 
scalable solutions that provide automated backups and need 
minimum maintenance costs. 
The top 15 databases ruling the web 
development market
• MySQL • MongoDB
• PostgreSQL • Redis
• Microsoft SQL Server • Cassandra
• Oracle Database • DynamoDB
• MariaDB • Neo4j 
• IBM Db2 • OrientDB
• SQLite • Elasticsearch
• FirebirdSQL
Best practices for database security and performance 
• Always optimize queries for rapid loading.
• Protection from cyber threats and SQL injections 
• Disaster and backup recovery strategies 
What to expect from web application databases
• Database automation powered by AI
• Serverless databases will be on the rise 
• The adoption of multi-cloud databases will continue to rise 
Thank You!