Best Relational Databases & Solutions in 2023

Choosing the right relational database for your business needs is an important decision. It can be a daunting task with so many options available. You need to consider the type of data you are working with and the functionality you require. It is important to understand the differences between the various types of databases and select the one that best suits your needs.

There are a few key factors to consider when selecting a database, including scalability, cost, performance, data security and support. Knowing which database will best meet your requirements will help you make an informed decision and ensure that you have the right database to support your business operations.

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Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your relational database instance via a single API call. In addition, Amazon RDS makes it easy to use replication to enhance availability and reliability for production databases. Amazon RDS for MySQL also enables you to scale out beyond the capacity of a single database deployment for read-heavy database workloads. As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use.
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MariaDB frees companies from the costs, constraints and complexity of proprietary databases, enabling them to reinvest in what matters most – rapidly developing innovative, customer-facing applications. MariaDB uses pluggable, purpose-built storage engines to support workloads that previously required a variety of specialized databases. With complexity and constraints eliminated, enterprises can now depend on a single complete database for all their needs, whether on commodity hardware or their cloud of choice. Deployed in minutes for transactional or analytical use cases, MariaDB delivers unmatched operational agility without sacrificing key enterprise features including real ACID compliance and full SQL. Trusted by organizations such as Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens – MariaDB meets the same core requirements as proprietary databases at a fraction of the cost. No wonder it’s the fastest growing open source database. Real business relies on MariaDB™.
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Built to run the world’s mission-critical workloads. Designed by the world’s leading database experts, IBM Db2 empowers developers, enterprise architects, and data engineers to run low-latency transactions and real-time analytics equipped for the most demanding workloads. From microservices to AI workloads, Db2 is the tested, resilient, and hybrid database providing the extreme availability, built-in refined security, effortless scalability, and intelligent automation for systems that run the world.
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Amazon Aurora is a MySQL and PostgreSQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.
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Azure SQL Database is a relational database-as-a service using the Microsoft SQL Server Engine. SQL Database is a high-performance, reliable, and secure database you can use to build data-driven applications and websites in the programming language of your choice, without needing to manage infrastructure.
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MySQL is an open source database solution.
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SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.
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DroneDeploy is a cloud-based drone mapping software that helps businesses solve critical problems, fast. The platform offers a powerful range of products that enables its customers to easily collect and analyze aerial data using any type of drone.
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What are relational databases?

A relational database (also known as an RDB or a relational database management system) is a type of database that stores and organizes data in tables. Tables are made up of columns and rows, similar to a spreadsheet. The rows represent individual records, while the columns represent the attributes of each record.

Relational databases are organized around the concept of relationships, which are established between different tables in the database. For example, if you have a table containing customer information and another table containing order information, you could establish a relationship between them so that you can quickly look up the orders related to any particular customer.

Relational databases are incredibly useful - they allow you to store and manage huge amounts of data in an organized way, and they provide powerful tools for searching and retrieving data. This makes them ideal for a wide range of applications, from small businesses to large enterprise systems.

The most popular type of relational database is the Structured Query Language (SQL) database, which is used by many popular database applications, such as MySQL and Microsoft SQL Server. SQL databases use a special programming language to query the data stored in them and manipulate it in various ways.

If you need to store a lot of data and be able to quickly search for and retrieve it, then a relational database is probably your best option.

What are the types of relational databases?

Relational databases are an incredibly popular way to store and access data, and they come in a variety of different types. The most common type of relational database is the structured query language (SQL) database. With an SQL database, data is stored in tables, which are organized by rows and columns. This type of database is great for storing and accessing large amounts of structured data.

Another popular type of relational database is the object-oriented database. This type of database stores data in objects, which are organized into classes. It's a great option for managing complex data sets, as it allows you to create relationships between objects and classes.

Finally, there's the non-relational database. This type of database stores data in a flat file structure, which means that it doesn't use any kind of relationship between data points. Non-relational databases are often used to store unstructured data, such as images or text files.

No matter which type of relational database you choose, they all offer a great way to store and access data efficiently. Each type has its own pros and cons, so it's important to research your options carefully before making a decision.

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