Relational Databases Resources
Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Relational Databases
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.
Relational Databases Articles
What is Database Replication? Everything You Need To Know
Consistent and reliable technology is the backbone of any successful business. While many organizations use multiple desktop and mobile devices, they often rely on a single database for critical operations. So, what happens when that database goes down?
by Holly Landis
Graph Database Vs. Relational Database: Which One Wins?
Data remains an invaluable resource. When processed properly, it fuels savvy business decisions. How you store data has a lot to do with the ways you’re able to further process it.
by Sagar Joshi
What Is an Entity-Relationship Diagram? A Complete Guide
When designing a relational database, engineers create an entity-relationship diagram to represent how different pieces of data are related. These diagrams provide a clear visualization of data relationships, making it easier to understand the overall structure.
by Sagar Joshi
What Is Database Normalization? Types and Examples
Without adequate data collection and analysis, decision-making in any organization often goes haywire.
by Sagar Joshi
Mastering CRUD: Create, Read, Update, and Delete Data Effectively
You’ve probably thought about how data is created and used for web applications, databases, and content management systems. But think about this: do you ever get frustrated by the challenges of managing that data? Slow queries, information scattered across different systems, and a clunky user experience are all too common.
by Samudyata Bhat
SQL vs. NoSQL: What Are the Key Differences?
The choice of SQL vs. NoSQL isn't technical; it's strategic.
by Washija Kazim
What Is a Relational Database? How Does RDBMS Organize Data
Imagine you run an e-commerce store. You have to keep daily track of customer information, order details, and product inventory. Without a proper system in place, chaos is just one sale away.
by Dibyani Das
What Makes DBaaS the Next Big “As a Service” Offering?
Whenever I hear the word database, I picture a mega-sized Oracle system at the back of a building collecting and storing our data. But if only were databases that simple!
by Preethica Furtado
Relational Databases Glossary Terms
Relational Databases Discussions
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Question on: MariaDB
Is MariaDB compatible with MySQL?Is MariaDB compatible with MySQL?
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Answered: Bhavisha Joshi on March 12, 2023
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Question on: Google Cloud SQL
How much is Google Cloud SQL?How much is Google Cloud SQL?
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It depends on different type of instances and configuration you use. It starts from 0.01 USD per hour.
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Google cloud won't be charge until we upgrade.
Any new customer can also get free $300 free credits
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Question on: Amazon Aurora
What is Amazon Aurora vs RDS?What is Amazon Aurora vs RDS?
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AWS (Amazon Web Services) offers both Amazon Aurora and Amazon Relational Database Service (RDS) as database services, however, they have slightly different functions and features. Amazon Aurora and Amazon RDS are contrasted here:
- Amazon Aurora:
1.) Relational database engine: AWS's Amazon Aurora is a relational database engine. You can work with Aurora using PostgreSQL or MySQL tools and libraries because it is compatible with both of these databases.
2.) Performance: The scalability and great performance of Aurora are well known. In comparison to conventional relational databases, it is intended to provide faster and more efficient performance.
3.) Replication: For high availability and read scalability, Aurora provides both automated and manual replication methods. Your data can be replicated automatically across numerous Availability Zones (AZs) in a region.
4.) Storage: The storage system used by Aurora is distributed and fault-tolerant. Your database volume is automatically divided into 10GB parts and distributed over several disks.
5.) Backup and recovery: You may restore your database to any point in time thanks to Aurora's provision of continuous backups to Amazon S3. Additionally, it supports high availability automated failover.
- Amazon RDS:
1.) Database Engine: Among other database engines, Amazon RDS, a managed database service, supports MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB.
2.) Performance: For each supported database engine, RDS offers a variety of instance types and performance choices. You can select the instance type that most closely fits the demands of your job.
3.) Replication: Depending on the database engine you use, RDS offers replication functionality for high availability and read scaling. For failover, it provides Multi-AZ setups, for instance.
4.) Amazon EBS (Elastic Block Store) is the storage system used by RDS. You can select the kind of storage (such as magnetic, general-purpose SSD, or provisioned IOPS) that best meets your requirements.
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Each of Amazon RDS and Amazon Aurora is a set of managed database services, which can meet most of customer requirements.
General uses of databases that come with a number of customizations, cases that require flexibility to support a lot of database engines like MySQL, PostgreSQL, Oracle, and SQL Server, are also perfect cases for Amazon RDS.
Amazon Aurora represents an increment in the performance and reliability that is engineered to deliver much higher performance and durability, especially for read-heavy and mission-critical applications. It is compatible with MySQL and PostgreSQL, hence easy migration, up to 5x the performance compared to standard MySQL. In other words, if very high performance and working within either MySQL or PostgreSQL ecosystems are needed, then Aurora is the best. If there is a need for more flexibility, with more engine options opening up, perhaps it could be RDS. Your choice really depends on what exactly your application needs most: performance or flexibility.
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Relational Databases Reports
Mid-Market Grid® Report for Relational Databases
Spring 2026
G2 Report: Grid® Report
Grid® Report for Relational Databases
Spring 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Relational Databases
Spring 2026
G2 Report: Grid® Report
Momentum Grid® Report for Relational Databases
Spring 2026
G2 Report: Momentum Grid® Report
Small-Business Grid® Report for Relational Databases
Spring 2026
G2 Report: Grid® Report
Enterprise Grid® Report for Relational Databases
Winter 2026
G2 Report: Grid® Report
Small-Business Grid® Report for Relational Databases
Winter 2026
G2 Report: Grid® Report
Mid-Market Grid® Report for Relational Databases
Winter 2026
G2 Report: Grid® Report
Grid® Report for Relational Databases
Winter 2026
G2 Report: Grid® Report
Momentum Grid® Report for Relational Databases
Winter 2026
G2 Report: Momentum Grid® Report













