Star Rating
Languages Supported
Pricing Options
Relational Databases

Relational Databases reviews by real, verified users. Find unbiased ratings on user satisfaction, features, and price based on the most reviews available anywhere.

Best Relational Databases Software

Relational databases store and manage data in a traditional table format, with each piece of data organized into a row and a column. Columns hold the data of a single type or field, like first name, order number, or the image link of a product logo. Rows create the relationship between these data points. For example, rows can associate a first name to a last name and then to a user name, email address, and customer ID. Businesses use relational databases to maintain the data from their applications and ensure they always have access to critical customer information, product data, social data, and financial particulars like purchases, fulfillment, revenue, and expenses. These systems can range from desktop applications that create a small database on your machine to large enterprise-grade data stores. Almost all use a form of SQL as their query language, and most adhere to the ACID set of properties to ensure reliable transactions: atomicity, consistency, isolation, and durability.

Relational databases are generally chosen due to their simplicity in comparison to NoSQL databases, such as object-oriented databases, document databases, and graph databases. Those looking for a relational database solution with little budget also have options with free database software.

To qualify for inclusion in the Relational Databases category, a product must:

Provide data storage
Organize data in a relational model, formulating a table of rows and columns
Allow users to retrieve, edit, return, or remove data

Top 10 Relational Databases Software

  • MS SQL
  • Oracle Database
  • MySQL
  • IBM Db2
  • Amazon Aurora
  • PostgreSQL
  • Amazon Relational Database Service (RDS)
  • SAP HANA
  • IBM Informix
  • MariaDB

Compare Relational Databases Software

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.
Sort By:
Results: 154
View Grid®
Adv. Filters
(1,984)4.4 out of 5

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.

(689)4.2 out of 5

Helps customers lower IT costs and deliver a higher quality of service by enabling consolidation onto database clouds.

(1,476)4.4 out of 5
Entry Level Price:$10,000

MySQL is an open source database solution.

(529)4.0 out of 5
Optimized for quick response

About IBM Db2 IBM believes in unlocking the potential of your data, not throttling it. We hold our databases to a higher standard, making it easy to deploy your data wherever it's needed, fluidly adapting to your changing needs and integrating with multiple platforms, languages and workloads. IBM Db2 is supported across Linux, Unix, and Windows operating systems.

(134)4.5 out of 5

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.

(465)4.4 out of 5

PostgreSQL is a powerful, open source object-relational database system.

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

(275)4.2 out of 5

The SAP HANA® platform helps you reimagine business by combining a robust database with services for creating innovative applications. It enables real-time business by converging trans-actions and analytics on one in-memory platform. Running on premise or in the cloud, SAP HANA untangles IT complexity, bringing huge savings in data management and empowering decision makers everywhere with new insight and predictive power.

(97)4.6 out of 5
Optimized for quick response

• Harness data with broad functionality and unlimited scalability. IBM Informix is a secure embeddable database, optimized for OLTP and Internet of Things (IoT) data. Informix has the unique ability to seamlessly integrate SQL, NoSQL/JSON, time series and spatial data. Everyone from developers to global enterprises can benefit from its reliability, flexibility, ease of use and low total cost of ownership. • Optimize business decisions Perform analytics close to data sources to enhance local dec

(168)4.4 out of 5

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

(208)4.2 out of 5

SQLite is a software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine

(138)4.2 out of 5

The Teradata Database easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.

(38)4.2 out of 5

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.

(18)3.8 out of 5

Oracle TimesTen In-Memory Database is a full-featured relational database thats designed to run in the application tier and store all data in main memory. This makes the reading or writing of data as simple and fast as accessing RAM.

(49)4.0 out of 5
Entry Level Price:$195 license

SAP® SQL Anywhere® solutions deliver enterprise-level data management and synchronization capabilities. The solutions are designed to run in remote and mobile environments on a wide range of small-footprint devices and in real-world conditions.

(23)4.4 out of 5

InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. InterSystems IRIS provides a set of APIs to operate with transactional persistent data simultaneously: key-value, relational, object, document, multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. Int

(59)4.5 out of 5
Entry Level Price:$39/mo 1

Knack empowers everyday innovators to easily overcome critical business challenges. By leveraging Knack’s intuitive no-code platform and expert builder network, teams can quickly build custom applications that collect and manage data, automate processes and move workflows online. Knack helps non-programmers easily build beautiful, data-driven web apps. Data can be imported from spreadsheets and converted to an online database. Tools like search, forms, and tables are used to build web apps that

(61)4.2 out of 5

SingleStore, formerly known as MemSQL, provides one platform for all data, built so you can engage with insight in every moment. Trusted by industry leaders such as Uber, Akamai, Dell EMC, Samsung, and Comcast, SingleStore enables enterprises to adapt to change as it happens, embrace diverse data with ease, and accelerate the pace of innovation. SingleStore is venture-backed and headquartered in San Francisco with offices in Portland, Seattle, Boston, London, Lisbon, and Kyiv. Defining the futur

(23)4.1 out of 5

Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platforms.

(29)4.3 out of 5

InterSystems Caché® is a high-performance database that powers transaction processing applications around the world. It is used for everything from mapping a billion stars in the Milky Way, to processing a billion equity trades in a day, to managing smart energy grids. Caché is a multi-model (object, relational, key-value) DBMS and application server developed by InterSystems. InterSystems Caché provides several APIs to operate with same data simultaneously: key-value, relational, object, docu

(13)4.4 out of 5

Lovefield is a relational database for web apps.

(22)4.0 out of 5

Apache Derby is a relational database management system developed by the Apache Software Foundation that can be embedded in Java programs and used for online transaction processing.

SAP HANA Enterprise Cloud is the only end-to-end solution of its kind, delivering comprehensive cloud infrastructure and managed services for our in-memory applications, database, and platform.

(20)4.0 out of 5

Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL BETA and MySQL databases in the cloud. Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.

(12)4.1 out of 5

Cockroach Labs helps developers build and deploy scalable applications that can survive datacenter-scale outages.

(27)4.1 out of 5

OpenEdge 12 provides the performance, availability, agility and security you need to facilitate your application evolution effort. Read about the exceptional enhancements and new features in OpenEdge 12 that will help you easily pivot to meet market demands, scale the application as your business requires, and dramatically improve performance, allowing the organization to accelerate time to market, increase efficiencies, save expenses, increase availability and continue to compete effectively.

(16)4.0 out of 5

SAP® IQ software delivers speed and power for extreme-scale enterprise data warehousing and analytics. Its column-oriented, grid-based massively parallel processing (MPP) architecture and patented data compression and indexing technologies enable companies to exploit the value of huge amounts of data at the speed of business.

(22)4.0 out of 5

Quick way to share data and analytics inside your company.

(19)3.9 out of 5

The first horizontally scalable, strongly consistent, relational database service

(19)4.1 out of 5

HSQLDB (HyperSQL DataBase) is a SQL relational database software written in Java. It offers a small, fast multithreaded and transactional database engine with in-memory and disk-based tables and supports embedded and server modes.

Select Grid® View
Select Company Size
Select Relational Databases
G2 Grid® for Relational Databases
Filter Grid®
Filter Grid®
Select Grid® View
Select Company Size
Select Relational Databases
Check out the G2 Grid® for the top Relational Databases Software products. G2 scores products and sellers based on reviews gathered from our user community, as well as data aggregated from online sources and social networks. Together, these scores are mapped on our proprietary G2 Grid®, which you can use to compare products, streamline the buying process, and quickly identify the best products based on the experiences of your peers.
Leaders
High Performers
Contenders
Niche
Amazon Relational Database Service (RDS)
MS SQL
Oracle Database
SAP IQ
PostgreSQL
SQLite
MySQL
Oracle TimesTen
SAP HANA
IBM Db2
IBM Informix
Firebird
MariaDB
Teradata Vantage
InterSystems Caché
HyperSQL
SingleStore DB
SAP SQL Anywhere
dotConnect
Lovefield
Knack
Cloud SQL
Google Cloud Spanner
Amazon Aurora
Apache Derby
Azure SQL Database
InterSystems IRIS
SAP HEC (HANA Enterprise Cloud)
CockroachDB
Metabase
Progress OpenEdge
Market Presence
Satisfaction

Learn More About Relational Databases Software

What is Relational Databases Software?

Relational databases organize data in tables by rows and columns, where columns represent a single type of data (e.g., an order date), and rows relate multiple types of data to a single, unique identifier. Each row’s unique identifier is called a primary key. Multiple tables can be connected to each other using foreign keys, which are a particular column of the same type of data on two or more tables. This allows users to find vast arrays of interconnected data with ease. Relational databases software facilitates the building, maintenance, and usage of these tables.

Relational databases are not usually object-oriented, as they are built on creating relationships between pieces of data. Typically, relational databases are built on a querying language called SQL (Structured Querying Language). Relational databases software will almost always read SQL and use SQL syntax or similar. SQL’s syntax is very simplistic, and as such, it is one of the easiest languages to learn and use. Relational databases software is often built to follow the ACID (atomicity, consistency, isolation, and durability) transaction model to confirm that updates made to a SQL database are complete, accurate, and reliable.

Key Benefits of Relational Databases Software

  • Structured, organized data storage and management
  • Easy searchability and data connectedness
  • Data can be added, modified, or removed easily

Why Use Relational Databases Software?

Data Association — Relational databases are extremely powerful for storing and retrieving associative data. Be it e-commerce order details, patient information, stock tracking, or something more, relational databases excel in creating meaningful connections between a primary key and its describing information. Because they can be uniquely generated, primary key values are typically numbers, and values (e.g., full name, quantity, order date) are associated to that value by being stored in the same row on the table. This massively improves data organization for companies.

Targeted Query Results — By using relational database software, businesses can build vast, interconnected databases that quickly return important information, exactly as needed. Relational databases have a massive strength in being able to produce query results that span over numerous tables. By using join operations and table aliases, users can query across several tables at once to build an output of the exact data they require. This eliminates the need to store huge quantities of data on a single table. Instead, database administrators can build out as many tables as needed to better organize data, and those tables can be connected by foreign keys if any of the data needs to be associated.

Ease of Use — Relational databases are designed to be easy to build and even easier to use. At a fairly low learning curve, anyone in your company that could make use of relational databases tools would be able to use them with basic training on the software.

Who Uses Relational Databases Software?

What makes relational databases software particularly beneficial is that it’s highly flexible and can be used by so many teams throughout a company. Below are some examples:

Finance and Accounting — Relational databases can be used to track payments and dues by associating a vendor ID, customer ID, or other unique identifiers to payment dates, payment amounts, check or order numbers, and more. All of this can be easily queried through relational database tools, and a complete transactional record can be created in a matter of minutes or even seconds. The ability to organize or isolate this data by, say, transaction date or personnel can greatly improve your finance associates’ efficiency.

E-Commerce — Internet prevalence and ease of use has made online ordering, from food pickups to clothes or machinery, not only simple but very widely used. Relational databases can store vast transactional data, including order date/time, customer name, payment method used, customer location, and more. Verifying an order’s correctness is a query away. Additional benefits for e-commerce come in that relational databases can store incredible volumes of information. Individual tables can store millions upon millions of entries at once without harming workflow.

Patient Tracking — Relational database tools offer immense value in health care because of the ability to relate so many data points to a single unique identifier. In health care, patients have hundreds of data points to describe their condition, including age, weight, blood pressure, and numerous others. By being able to associate all of those data points to a single unique identifier (e.g., a person’s patient ID), health care professionals—doctors, nurses, lab techs, database admins, and more—can have quick access to any and all relevant data.

Relational Databases Software Features

Database Creation and Maintenance — Quickly create brand-new relational databases and modify them with ease.

Scalability — Relational database solutions grow with your data, so the only capacity you have to worry about is physical or cloud storage capacity.

Data Security — Relational database solutions include data security features to protect the data your business stores in its databases.

OS Compatibility — Relational database solutions are compatible with numerous operating systems, so your business won’t have to worry about the OS when creating databases.

Additional Features

Recovery — Whether a database needs to be rolled back or outright recovered, some relational database solutions offer recovery features in the event errors occur.

Potential Issues with Relational Databases Software

Unstructured Data — As noted above, there is a point where relational databases can struggle: handling unstructured data. Relational databases hinge on data being structured to properly create relationships between data points and data tables. If a company uses mostly unstructured data, they should consider perhaps a NoSQL database solution or a data quality software to clean and structure unstructured data.

Query Lag — Relational databases can store massive quantities of data, but with that advantage, you may find that relational database tools run queries a little more slowly on larger data sets. This is mainly due to the sheer volume of data being queried. In situations where queries might traverse significant quantities of data, try to query based on specific values whenever possible. Also, querying strings takes significantly longer than querying numerics, so focusing on numerics whenever possible may help improve search times.

Published: