# Best Relational Databases

## How Many Relational Databases Products Does G2 Track?

**Total Products under this Category:** 182

### Category Stats (Aug 2026)

- **Average Rating:** 4.26/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Apache Calcite (+1.1%) - Among all products in this category, Apache Calcite recorded the largest rating increase compared to last month

_Last updated: August 06, 2026_

## How Does G2 Rank Relational Databases Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 12,300+ Authentic Reviews
- 182+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Relational Databases
 ![G2 Grid® for Relational Databases plotting products by satisfaction and market presence](https://www.g2.com/categories/relational-databases/grids.png?focus%5B%5D=630&focus%5B%5D=967&focus%5B%5D=585&focus%5B%5D=1251&focus%5B%5D=40540&focus%5B%5D=986&focus%5B%5D=40868&focus%5B%5D=146570)

Highlighted products: Microsoft SQL Server, Oracle Database, Amazon Relational Database Service (RDS), SAP HANA Cloud, Google Cloud SQL, MySQL, Amazon Aurora, and EDB Postgres AI Database.

Underlying data: [Grid® JSON](https://www.g2.com/categories/relational-databases/grids.json?focus%5B%5D=microsoft-sql-server&focus%5B%5D=oracle-database&focus%5B%5D=amazon-relational-database-service-rds&focus%5B%5D=sap-hana-cloud-2025-10-01&focus%5B%5D=google-cloud-sql&focus%5B%5D=mysql&focus%5B%5D=amazon-aurora&focus%5B%5D=edb-postgres-ai-database)

**Sponsored**

### RaimaDB

RaimaDB: The High-Performance Embedded Database for Edge and IoT Systems RaimaDB is a high-performance, small-footprint database designed for edge computing, IoT, and embedded systems. Built on over three decades of database innovation, RaimaDB provides a powerful, reliable, and resource-efficient solution for developers building applications where data integrity, speed, and local storage are critical. Unlike large-scale enterprise databases, RaimaDB is purpose-built for environments with limited memory and processing power—such as industrial controllers, automotive systems, medical devices, and network appliances. Its lightweight architecture allows for fast transactions, deterministic performance, and minimal overhead, making it ideal for real-time applications. RaimaDB supports both SQL and C/C++ APIs, giving developers flexibility in how they access and manage data. It’s fully ACID-compliant, ensuring data reliability even in harsh or disconnected environments. With advanced features like in-memory performance, high availability, and flexible replication, RaimaDB enables secure local data processing while still integrating seamlessly with cloud or enterprise systems when connectivity is restored. The database can be deployed on a wide range of operating systems, including Linux, embedded Linux, Windows, QNX, and VxWorks, and can run on both ARM and x86 architectures. Its modular design allows for efficient scaling—from compact single-board computers to complex distributed networks. Trusted by global leaders in industries such as automotive, aerospace, energy, and telecommunications, RaimaDB powers mission-critical systems that demand reliability and speed. Developers choose RaimaDB for its ease of integration, low maintenance requirements, and proven performance under demanding conditions. Whether you’re building the next generation of connected devices or optimizing data handling at the edge, RaimaDB provides the robust foundation you need. Experience the efficiency of a database built for embedded and real-time systems—fast, reliable, and ready for the future of intelligent data management.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=301&secure%5Bchosen_at%5D=2026-08-06T22%3A45%3A44Z&secure%5Bdisplayable_resource_id%5D=301&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=301&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=6173&secure%5Bresource_id%5D=301&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Frelational-databases&secure%5Btoken%5D=d412e9a366f1feb1accd33f4973c7506a53ea3e69866c95888e0b8fa1c09dd41&secure%5Burl%5D=https%3A%2F%2Fraima.com%2Fdownload-trial%2F%3Futm_content%3Dproducts-raimadb-reviews%26utm_medium%3Dreferral%26utm_source%3Dg2&secure%5Burl_type%5D=free_trial)

### [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)

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.

**Average Rating:** 4.4/5.0

**Total Reviews:** 2,128

#### How Do G2 Users Rate Microsoft SQL Server?

- **Ease of Use:** 8.6/10 (Category avg: 8.5/10)
- **Workload Management:** 8.7/10 (Category avg: 8.3/10)
- **Data Schema:** 9.1/10 (Category avg: 8.6/10)
- **Query Language:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Microsoft SQL Server?

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 employees on LinkedIn®
- **Ownership:** MSFT

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Software Developer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 45% Large, 37% Medium

#### What Do G2 Reviewers Say About Microsoft SQL Server?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Microsoft SQL Server, enjoying its intuitive GUI and powerful capabilities.
- Users appreciate the **robust database management** of Microsoft SQL Server, enabling effective data handling and user administration.
- Users value the **exceptional performance** of Microsoft SQL Server, noting its powerful capabilities and ease of use.
- Users appreciate the **enterprise-grade security and powerful features** of Microsoft SQL Server, enhancing peace of mind and usability.
- Users appreciate the **easy integrations** of Microsoft SQL Server, enhancing their data management and analytics workflows seamlessly.

##### Cons

- Users find Microsoft SQL Server's **high licensing costs** prohibitive, particularly affecting smaller businesses and startups.
- Users struggle with the **high licensing costs** of Microsoft SQL Server, making it challenging for smaller businesses.
- Users note that the **high licensing costs** of Microsoft SQL Server can be challenging for smaller businesses and projects.
- Users find the **licensing costs to be prohibitively high** , especially for small businesses and projects.
- Users find **performance issues** with SQL Server, particularly regarding tuning, scaling, and resource consumption on older systems.

#### What Are Recent G2 Reviews of Microsoft SQL Server?

**["Makes Data management simpler!!"](https://www.g2.com/survey_responses/microsoft-sql-server-review-12902759)**

**Rating:** 4.0/5.0 stars

_— Hari K._

[Read full review](https://www.g2.com/survey_responses/microsoft-sql-server-review-12902759)

**["Powerful Performance Tuning, Strong Security and Environment Flexible"](https://www.g2.com/survey_responses/microsoft-sql-server-review-12873238)**

**Rating:** 4.0/5.0 stars

_— Janani D._

[Read full review](https://www.g2.com/survey_responses/microsoft-sql-server-review-12873238)

#### What Are G2 Users Discussing About Microsoft SQL Server?

- [What are the latest advancements in Microsoft SQL Server that are enhancing database management for businesses?](https://www.g2.com/discussions/what-are-the-latest-advancements-in-microsoft-sql-server-that-are-enhancing-database-management-for-businesses) - 2 comments
- [What is Microsoft SQL Server used for?](https://www.g2.com/discussions/microsoft-sql-server-what-is-microsoft-sql-server-used-for) - 2 comments, 1 upvote
- [Is there a free version of Microsoft SQL Server?](https://www.g2.com/discussions/is-there-a-free-version-of-microsoft-sql-server) - 3 comments
- [What is Microsoft SQL Server used for?](https://www.g2.com/discussions/what-is-microsoft-sql-server-used-for) - 2 comments
- [What are the features of SQL?](https://www.g2.com/discussions/what-are-the-features-of-sql) - 1 comment

### [Oracle Database](https://www.g2.com/products/oracle-database/reviews)

Oracle Database is a comprehensive, multi-model database management system developed by Oracle Corporation. It is designed to handle various data types and workloads, including online transaction processing (OLTP), data warehousing, and mixed database operations. With its robust architecture, Oracle Database supports deployment across on-premises environments, cloud platforms, and hybrid configurations, offering flexibility and scalability to meet diverse business needs. Key Features and Functionality: - Multi-Model Support: Oracle Database accommodates various data models, including relational, document, graph, and key-value, enabling developers to work with diverse data types within a single platform. - Advanced Analytics: The database integrates advanced analytics capabilities, such as in-database machine learning and AI Vector Search, allowing users to perform complex analyses directly within the database environment. - High Availability and Scalability: Designed for mission-critical applications, Oracle Database offers features like data replication, backup, server clustering, and automatic storage management to ensure high availability and seamless scalability. - Security: With comprehensive security measures, including encryption, SQL Firewall, and data masking, Oracle Database safeguards sensitive information and maintains data integrity. - Multicloud Deployment: Oracle Database supports deployment across various cloud platforms, including Oracle Cloud Infrastructure, AWS, Microsoft Azure, and Google Cloud, providing flexibility and compliance with data residency requirements. Primary Value and Solutions Provided: Oracle Database addresses the complex data management needs of modern enterprises by offering a unified platform that supports multiple data models and workloads. Its integration of AI and machine learning capabilities enables organizations to derive actionable insights directly from their data, enhancing decision-making processes. The database's high availability and scalability ensure that businesses can maintain continuous operations and adapt to growing data demands. Additionally, its robust security features protect against data breaches and ensure compliance with regulatory standards. By supporting multicloud deployments, Oracle Database provides the flexibility to operate in various cloud environments, facilitating seamless integration and innovation across different platforms.

**Average Rating:** 4.3/5.0

**Total Reviews:** 935

#### How Do G2 Users Rate Oracle Database?

- **Ease of Use:** 8.3/10 (Category avg: 8.5/10)
- **Workload Management:** 8.6/10 (Category avg: 8.3/10)
- **Data Schema:** 9.0/10 (Category avg: 8.6/10)
- **Query Language:** 8.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Oracle Database?

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle  
827,997 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a14fcbcd818b49d781453c19628a9479a70cc1e8e335e54c876392ab5f543da3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1028%2F&secure%5Burl_type%5D=linkedin_company_website)  
208,078 employees on LinkedIn®
- **Ownership:** NYSE:ORCL

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Software Developer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 62% Large, 27% Medium

#### What Do G2 Reviewers Say About Oracle Database?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **strong security** features of Oracle Database, ensuring data integrity and safeguarding sensitive information.
- Users commend the **reliable performance** of Oracle Database, appreciating its ability to handle large data volumes efficiently.
- Users find Oracle Database to have **great ease of use** , appreciating its simple implementation and integration with various technologies.
- Users appreciate the **easy integrations** with other systems, enhancing functionality and simplifying report creation.
- Users value the **reliable performance** of Oracle Database, ensuring data integrity and seamless integration across various applications.

##### Cons

- Users find Oracle Database's **high licensing and maintenance costs** to be a financial burden, especially for smaller organizations.
- Users find the **complexity** of Oracle Database overwhelming, especially those new to it or with limited budgets.
- Users find the **poor usability** of Oracle Database challenging, especially due to its complex command-based interface and setup.
- Users find the **difficult learning curve** of Oracle Database challenging, hindering effective configuration and management for newcomers.
- Users find the **steep learning curve** of Oracle Database challenging, making it difficult for beginners to adapt quickly.

#### What Are Recent G2 Reviews of Oracle Database?

**["Enterprise-Grade Reliability, Security, and Scalability with Oracle Database"](https://www.g2.com/survey_responses/oracle-database-review-13070547)**

**Rating:** 5.0/5.0 stars

_— Rushikesh A._

[Read full review](https://www.g2.com/survey_responses/oracle-database-review-13070547)

**["Oracle Scales Smoothly for Massive Data and Complex Queries"](https://www.g2.com/survey_responses/oracle-database-review-12718297)**

**Rating:** 4.0/5.0 stars

_— Jin Ming C._

[Read full review](https://www.g2.com/survey_responses/oracle-database-review-12718297)

#### What Are G2 Users Discussing About Oracle Database?

- [What is Oracle Database used for?](https://www.g2.com/discussions/what-is-oracle-database-used-for) - 2 comments, 1 upvote
- [What is Oracle View and advantages?](https://www.g2.com/discussions/what-is-oracle-view-and-advantages) - 1 comment
- [What are the advantages of Oracle?](https://www.g2.com/discussions/what-are-the-advantages-of-oracle) - 1 comment
- [What is Oracle database software used for?](https://www.g2.com/discussions/what-is-oracle-database-software-used-for)
- [What is Oracle and its features?](https://www.g2.com/discussions/what-is-oracle-and-its-features)

### [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)

SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps.

**Average Rating:** 4.3/5.0

**Total Reviews:** 521

#### How Do G2 Users Rate SAP HANA Cloud?

- **Ease of Use:** 8.2/10 (Category avg: 8.5/10)
- **Workload Management:** 8.6/10 (Category avg: 8.3/10)
- **Data Schema:** 8.5/10 (Category avg: 8.6/10)
- **Query Language:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SAP HANA Cloud?

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP  
297,052 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 employees on LinkedIn®
- **Ownership:** NYSE:SAP

#### Who Uses This Product?

- **Who Uses This:** Consultant, SAP Consultant
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 61% Large, 26% Medium

#### What Do G2 Reviewers Say About SAP HANA Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** with SAP HANA Cloud, enjoying seamless integration and smooth real-time analytics.
- Users appreciate the **easy integrations** of SAP HANA Cloud, enhancing their workflow and data management seamlessly.
- Users value the **smooth integration capabilities** of SAP HANA Cloud, enhancing efficiency and simplifying data management.
- Users value the **speed and responsiveness** of SAP HANA Cloud, making data handling efficient and streamlined.
- Users value the **flexible and elastic scalability** of SAP HANA Cloud, enhancing performance for data-intensive applications.

##### Cons

- Users find the **complexity of the setup** challenging, particularly for new users and integrations with other systems.
- Users find SAP HANA Cloud to be **expensive** , particularly for large data demands and advanced configurations requiring expertise.
- Users find the **learning curve challenging** , especially for teams new to HANA's concepts and SQL extensions.
- Users find the **difficult learning curve** of SAP HANA Cloud challenging, especially for new users and feature navigation.
- Users find the **complex setup** of SAP HANA Cloud challenging, particularly for newcomers and during initial provisioning.

#### What Are Recent G2 Reviews of SAP HANA Cloud?

**["Efficient Transactions, But Time-Intensive Setup"](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)**

**Rating:** 4.0/5.0 stars

_— Sumeet R._

[Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)

**["Real-Time Analytics Powerhouse with Flexible, Scalable Performance."](https://www.g2.com/survey_responses/sap-hana-cloud-review-12631916)**

**Rating:** 5.0/5.0 stars

_— Mahendra S._

[Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12631916)

### [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)

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.

**Average Rating:** 4.5/5.0

**Total Reviews:** 866

#### How Do G2 Users Rate Amazon Relational Database Service (RDS)?

- **Ease of Use:** 8.8/10 (Category avg: 8.5/10)
- **Workload Management:** 8.7/10 (Category avg: 8.3/10)
- **Data Schema:** 8.8/10 (Category avg: 8.6/10)
- **Query Language:** 8.9/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Amazon Relational Database Service (RDS)?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Who Uses This:** DevOps Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 38% Medium, 34% Large

#### What Do G2 Reviewers Say About Amazon Relational Database Service (RDS)?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** of Amazon RDS, simplifying database management and enhancing application development efficiency.
- Users appreciate the **scalability** of Amazon RDS, enabling easy adjustments to database resources as project needs change.
- Users find RDS to be very **secure and reliable** , alleviating concerns about data loss and downtime.
- Users find the **setup ease** of Amazon RDS impressive, allowing quick database launches with a user-friendly interface.
- Users praise the **automated backup services** of Amazon RDS, enabling effortless database management and enhanced focus on development.

##### Cons

- Users find Amazon RDS **expensive** , especially as applications scale, leading to increased costs and limited control.
- Users express concerns about **cost issues** , noting unexpected charges and a lack of transparency in pricing models.
- Users experience **limited control** over configurations in Amazon RDS, restricting customization and flexibility for their projects.
- Users often find **Amazon RDS's complexity** frustrating, leading to difficulties in cost management and service navigation.
- Users find Amazon RDS to have **limited customization** , restricting advanced configurations for more complex needs.

#### What Are Recent G2 Reviews of Amazon Relational Database Service (RDS)?

**["Streamlined Database Management with Amazon RDS"](https://www.g2.com/survey_responses/amazon-relational-database-service-rds-review-12793938)**

**Rating:** 4.0/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/amazon-relational-database-service-rds-review-12793938)

**["Solid Cloud Database with Steep Learning Curve"](https://www.g2.com/survey_responses/amazon-relational-database-service-rds-review-13217810)**

**Rating:** 4.0/5.0 stars

_— Pramod K._

[Read full review](https://www.g2.com/survey_responses/amazon-relational-database-service-rds-review-13217810)

#### What Are G2 Users Discussing About Amazon Relational Database Service (RDS)?

- [What is Amazon Relational Database Service (RDS) used for?](https://www.g2.com/discussions/what-is-amazon-relational-database-service-rds-used-for) - 2 comments, 2 upvotes

### [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews)

Cloud SQL is a fully-managed managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems.

**Average Rating:** 4.5/5.0

**Total Reviews:** 355

#### How Do G2 Users Rate Google Cloud SQL?

- **Ease of Use:** 9.2/10 (Category avg: 8.5/10)
- **Workload Management:** 9.0/10 (Category avg: 8.3/10)
- **Data Schema:** 9.1/10 (Category avg: 8.6/10)
- **Query Language:** 9.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Google Cloud SQL?

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
341,888 employees on LinkedIn®
- **Ownership:** NASDAQ:GOOG

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Data Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 41% Medium, 34% Small

#### What Do G2 Reviewers Say About Google Cloud SQL?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **automated management** of Google Cloud SQL, which saves time and enhances scalability and reliability.
- Users value the **seamless integration** of Google Cloud SQL with Google Cloud services, enhancing efficiency and scalability.
- Users love the **ease of use** of Google Cloud SQL, making database management straightforward and hassle-free.
- Users appreciate the **easy integrations** of Google Cloud SQL, enhancing efficiency and convenience for cloud-based database management.
- Users praise the **scalability** of Google Cloud SQL, enjoying its seamless integration and automation for efficient database management.

##### Cons

- Users find Google Cloud SQL to be **expensive** , especially regarding storage, traffic, and pricing for smaller projects.
- Users feel that the **cost concerns** of Google Cloud SQL can be burdensome, especially for small businesses and individuals.
- Users often face **scaling issues** with Google Cloud SQL, including slow support and cost escalation during vertical scaling.
- Users find the **complex pricing** difficult to understand, making cost forecasting and optimization challenging.
- Users find the **pricing confusion** in Google Cloud SQL challenging, desiring clearer estimates and better forecasting tools.

#### What Are Recent G2 Reviews of Google Cloud SQL?

**["Effortless Database Management with Google Cloud SQL"](https://www.g2.com/survey_responses/google-cloud-sql-review-13190312)**

**Rating:** 4.0/5.0 stars

_— Jai Y._

[Read full review](https://www.g2.com/survey_responses/google-cloud-sql-review-13190312)

**["Secure, Highly Available, and Scalable Cloud SQL for Diverse Workloads"](https://www.g2.com/survey_responses/google-cloud-sql-review-12804608)**

**Rating:** 5.0/5.0 stars

_— Akshay J._

[Read full review](https://www.g2.com/survey_responses/google-cloud-sql-review-12804608)

#### What Are G2 Users Discussing About Google Cloud SQL?

- [What is Google Cloud SQL used for?](https://www.g2.com/discussions/what-is-google-cloud-sql-used-for) - 2 comments
- [How much is Google Cloud SQL?](https://www.g2.com/discussions/how-much-is-google-cloud-sql) - 2 comments
- [What is Cloud SQL?](https://www.g2.com/discussions/what-is-cloud-sql) - 3 comments
- [How do I use Google cloud in SQL?](https://www.g2.com/discussions/how-do-i-use-google-cloud-in-sql)
- [What are the features of Cloud SQL?](https://www.g2.com/discussions/what-are-the-features-of-cloud-sql) - 1 comment, 1 upvote

### [MySQL](https://www.g2.com/products/mysql/reviews)

MySQL is the world's most popular open-source database, renowned for its reliability, performance, and ease of use. It serves as the backbone for many high-profile web applications, including those of Facebook, Twitter, and YouTube. MySQL offers a comprehensive suite of features that cater to the needs of modern web, mobile, embedded, and cloud applications. Key Features and Functionality: - Transactional Data Dictionary: Implemented as a set of SQL tables stored in a single InnoDB tablespace, enhancing data management efficiency. - Common Table Expressions (CTEs): Also known as WITH queries, CTEs simplify complex queries and improve readability. - Window Functions: These functions reduce code complexity and boost developer productivity by allowing calculations across sets of table rows related to the current row. - Invisible Indexes: Facilitate better management of software upgrades and database changes for applications that require continuous operation. - Descending Indexes: Eliminate the need for sorting results, leading to performance improvements. - JSON Support: Includes the JSON\_TABLE() function, which accepts JSON data and returns it as a relational table, enhancing flexibility in data handling. - Document Store: Allows the development of both SQL and NoSQL document applications using a single database, providing versatility in application design. - SQL Roles: Simplify permission management by granting and denying permissions to groups of users, thereby reducing the security workload. - OpenSSL Integration: Utilizes OpenSSL as the default TLS/SSL library, ensuring secure data transmission. - Default to utf8mb4 Character Set: Supports richer mobile applications and international character sets, accommodating a global user base. - Geographic Information System (GIS) Enhancements: Supports geography and Spatial Reference Systems (SRS), enabling advanced spatial data analysis. - InnoDB Cluster: Provides improved high availability through integrated solutions. - InnoDB ClusterSet: Offers cross-region disaster recovery capabilities, ensuring data resilience. - Replication: Provides flexible topologies for scale-out and high availability, enhancing system robustness. - Reliability: Requires minimal intervention to achieve continuous uptime, ensuring consistent performance. - Partitioning: Improves performance and management of very large database environments by dividing tables into smaller, more manageable pieces. - ACID Transactions: Ensures reliable and secure business-critical applications by supporting Atomicity, Consistency, Isolation, and Durability. - Stored Procedures and Triggers: Enhance developer productivity and enforce complex business rules at the database level. - Views: Ensure sensitive information is not compromised by providing controlled access to data. - Ease of Use: Offers a "3 minutes from download to development" installation and configuration process, facilitating quick deployment. - Low Administration: Requires very little database maintenance, reducing operational overhead. Primary Value and User Solutions: MySQL delivers a robust, scalable, and secure database solution that addresses the needs of developers and enterprises alike. Its comprehensive feature set supports the development of high-performance applications across various platforms, including web, mobile, embedded, and cloud environments. By offering advanced functionalities such as ACID compliance, high availability, and flexible replication, MySQL ensures data integrity and reliability. Its ease of use and low administrative requirements enable organizations to reduce operational costs and accelerate time-to-market for their applications. Furthermore, MySQL's support for modern development practices, including JSON and NoSQL capabilities, allows developers to build versatile and future-proof applications.

**Average Rating:** 4.4/5.0

**Total Reviews:** 1,583

#### How Do G2 Users Rate MySQL?

- **Ease of Use:** 8.7/10 (Category avg: 8.5/10)
- **Workload Management:** 8.5/10 (Category avg: 8.3/10)
- **Data Schema:** 9.1/10 (Category avg: 8.6/10)
- **Query Language:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind MySQL?

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle  
827,997 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a14fcbcd818b49d781453c19628a9479a70cc1e8e335e54c876392ab5f543da3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1028%2F&secure%5Burl_type%5D=linkedin_company_website)  
208,078 employees on LinkedIn®
- **Ownership:** NYSE:ORCL

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Software Developer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 37% Small, 33% Large

#### What Do G2 Reviewers Say About MySQL?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of MySQL, appreciating its straightforward setup and convenience for managing data.
- Users appreciate the **easy integrations** of MySQL, making it versatile and user-friendly for various projects.
- Users appreciate the **reliability** of MySQL, ensuring data consistency and fast queries for varying project sizes.
- Users value the **superior performance** of MySQL, benefiting from fast queries, scalable solutions, and reliable data handling.
- Users value the **impressive querying and indexing capabilities** of MySQL, enhancing their data management experience significantly.

##### Cons

- Users note **feature limitations** in MySQL, especially for complex data types and heavy analytical tasks.
- Users find **limited database support** in MySQL restricts advanced analytics and makes complex queries problematic.
- Users experience **performance issues** with MySQL during large-scale analytics and complex joins, impacting efficiency and requiring expertise.
- Users experience **slow performance** with MySQL during large-scale analytics and complex queries, necessitating careful optimization.
- Users often face **scaling issues** with MySQL, particularly when managing large databases or specific advanced features.

#### What Are Recent G2 Reviews of MySQL?

**["Simple, Reliable, and Easy to Integrate—RDBMS at Its Best"](https://www.g2.com/survey_responses/mysql-review-13196476)**

**Rating:** 5.0/5.0 stars

_— K Vasanth K._

[Read full review](https://www.g2.com/survey_responses/mysql-review-13196476)

**["Dependable, Well-Documented MySQL with Solid Performance and Strong ROI"](https://www.g2.com/survey_responses/mysql-review-13167638)**

**Rating:** 4.5/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/mysql-review-13167638)

#### What Are G2 Users Discussing About MySQL?

- [Could you explain how to optimize MySQL database performance for a new user handling large-scale data?](https://www.g2.com/discussions/could-you-explain-how-to-optimize-mysql-database-performance-for-a-new-user-handling-large-scale-data) - 3 comments
- [What is MySQL used for?](https://www.g2.com/discussions/what-is-mysql-used-for) - 3 comments
- [Can I use MySQL for free?](https://www.g2.com/discussions/can-i-use-mysql-for-free) - 4 comments, 2 upvotes
- [Why we use MySQL database?](https://www.g2.com/discussions/why-we-use-mysql-database)
- [What is MySQL and its advantages?](https://www.g2.com/discussions/what-is-mysql-and-its-advantages) - 1 comment

### [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews)

Amazon Aurora is a fully managed relational database service that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Compatible with MySQL and PostgreSQL, Aurora delivers up to five times the throughput of standard MySQL databases and up to three times that of standard PostgreSQL databases. It is designed for high availability, offering up to 99.99% availability within a single region and up to 99.999% across multiple regions. Aurora's architecture includes a distributed, fault-tolerant storage system that automatically scales up to 128 tebibytes, ensuring continuous data access and durability. Additionally, Aurora provides serverless configurations, allowing automatic scaling based on application needs, and integrates seamlessly with other AWS services for machine learning and analytics. Key Features and Functionality: - High Performance: Delivers up to five times the throughput of MySQL and three times that of PostgreSQL, enabling efficient handling of demanding workloads. - High Availability: Designed for up to 99.99% availability within a single region and up to 99.999% across multiple regions, ensuring continuous data access. - Scalability: Automatically scales storage up to 128 tebibytes and supports up to 15 read replicas for read-intensive applications. - Serverless Configuration: Offers Aurora Serverless, which automatically adjusts capacity based on application demand, eliminating the need for manual provisioning. - Machine Learning Integration: Integrates with Amazon SageMaker and Amazon Comprehend, allowing for in-database machine learning capabilities without data movement. - Security: Provides multiple layers of security, including network isolation, encryption at rest and in transit, and compliance with various industry standards. Primary Value and Solutions Provided: Amazon Aurora addresses the need for a high-performance, highly available, and scalable relational database service that is cost-effective and easy to manage. By offering compatibility with MySQL and PostgreSQL, it allows organizations to migrate existing applications without significant code changes. Aurora's automatic scaling and serverless options cater to applications with variable workloads, reducing operational overhead and costs. Its integration with AWS machine learning services enables real-time analytics and predictive capabilities directly within the database, enhancing application functionality. Overall, Aurora simplifies database management while delivering enterprise-grade performance and reliability.

**Average Rating:** 4.5/5.0

**Total Reviews:** 436

#### How Do G2 Users Rate Amazon Aurora?

- **Ease of Use:** 8.7/10 (Category avg: 8.5/10)
- **Workload Management:** 8.8/10 (Category avg: 8.3/10)
- **Data Schema:** 8.7/10 (Category avg: 8.6/10)
- **Query Language:** 8.6/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Amazon Aurora?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Who Uses This:** DevOps Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 38% Small, 34% Medium

#### What Do G2 Reviewers Say About Amazon Aurora?

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **auto-scaling capability** of Amazon Aurora, ensuring optimal performance and seamless management for growing applications.
- Users appreciate the **high availability** of Amazon Aurora, which ensures reliable performance without infrastructure concerns.
- Users appreciate the **ease of use** of Amazon Aurora, benefiting from its seamless database management and integration with AWS.
- Users highlight the **impressive performance and scalability** of Amazon Aurora, boosting stability and speed for data management.
- Users appreciate the **high availability** of Amazon Aurora, ensuring seamless performance and effortless scalability for demanding applications.

##### Cons

- Users note that Amazon Aurora can be **expensive** , with costs unexpectedly increasing for larger datasets and storage needs.
- Users face significant **dependency on the AWS ecosystem** , which can limit flexibility and integrations with other systems.
- Users note the **feature limitations** of Amazon Aurora, especially compared to self-managed and other cloud databases.
- Users express concerns over **cost issues** with Amazon Aurora, noting unpredictable expenses with larger datasets and storage needs.
- Users find the **learning curve** for Amazon Aurora challenging, especially when transitioning from simpler database solutions.

#### What Are Recent G2 Reviews of Amazon Aurora?

**["Robust Performance with Cost Challenges"](https://www.g2.com/survey_responses/amazon-aurora-review-12815576)**

**Rating:** 4.5/5.0 stars

_— Atharva P._

[Read full review](https://www.g2.com/survey_responses/amazon-aurora-review-12815576)

**["AWS Aurora Makes Database Maintenance Smooth and Confident"](https://www.g2.com/survey_responses/amazon-aurora-review-13129429)**

**Rating:** 4.0/5.0 stars

_— Mamta N._

[Read full review](https://www.g2.com/survey_responses/amazon-aurora-review-13129429)

#### What Are G2 Users Discussing About Amazon Aurora?

- [What is Amazon Aurora used for?](https://www.g2.com/discussions/what-is-amazon-aurora-used-for) - 2 comments, 1 upvote
- [What is Amazon Aurora vs RDS?](https://www.g2.com/discussions/what-is-amazon-aurora-vs-rds) - 2 comments
- [Who uses Amazon Aurora?](https://www.g2.com/discussions/who-uses-amazon-aurora)
- [Is Amazon Aurora any good?](https://www.g2.com/discussions/is-amazon-aurora-any-good)
- [What does Amazon Aurora do?](https://www.g2.com/discussions/what-does-amazon-aurora-do)

### [EDB Postgres AI Database](https://www.g2.com/es/products/edb-postgres-ai-database/reviews)

EDB ofrece un motor Postgres siempre activo y multimodelo, construido sobre código abierto y ampliado con las capacidades empresariales que exigen las cargas de trabajo críticas. Impulsa cargas de trabajo transaccionales, analíticas y de IA con soporte para datos relacionales, vectoriales, documentales y de series temporales, de modo que los equipos trabajan con un solo motor y un conjunto de habilidades de Postgres en lugar de mantener sistemas especializados para cada tipo de dato. Esa consolidación elimina la carga operativa de unir bases de datos separadas, reduciendo el costo, la complejidad y el riesgo que conlleva un patrimonio de datos fragmentado y liberando a los equipos para que se concentren en construir en lugar de integrar. EDB Postgres AI añade compatibilidad con Oracle, cifrado de datos transparente, alta disponibilidad distribuida y soporte vectorial nativo para aplicaciones agenticas e IA, todo respaldado por el mayor contribuyente empresarial a Postgres. Las organizaciones utilizan EDB Postgres AI Database para consolidar la infraestructura de datos fragmentada, reducir los costos de licencias al migrar desde Oracle y construir aplicaciones preparadas para IA sin una base de datos vectorial separada. El soporte vectorial nativo significa que la recuperación, la búsqueda semántica y los flujos de trabajo agenticos se ejecutan justo al lado de sus datos operativos, por lo que no hay un sistema adicional que sincronizar, asegurar o escalar. Está diseñado para los equipos que ejecutan, construyen y amplían Postgres: DBAs, desarrolladores de aplicaciones agenticas, ingenieros de plataformas e ingenieros de IA. Ya sea que esté modernizando un patrimonio de Oracle heredado, levantando una nueva aplicación de IA o escalando una plataforma de la que dependen miles de desarrolladores, un solo motor maneja toda la gama de trabajo sin obligarlo a sacrificar rendimiento por flexibilidad. Los benchmarks independientes muestran hasta 6 veces mejor relación precio-rendimiento que SQL Server y hasta 80 veces más rápido rendimiento de consultas que las bases de datos vectoriales especializadas para cargas de trabajo agenticas. Obtenga hasta un 99.999% de tiempo de actividad con arquitectura activa-activa, y hasta un 95% menos de reescrituras de aplicaciones al migrar desde Oracle. El resultado es una plataforma, lista para la empresa y abierta en su núcleo, construida para ejecutar sus cargas de trabajo más exigentes hoy y escalar con lo que venga después.

**Average Rating:** 4.4/5.0

**Total Reviews:** 138

#### How Do G2 Users Rate EDB Postgres AI Database?

- **Facilidad de uso:** 8.8/10 (Category avg: 8.5/10)
- **Gestión de la carga de trabajo:** 9.0/10 (Category avg: 8.3/10)
- **Esquema de datos:** 9.3/10 (Category avg: 8.6/10)
- **Lenguaje de consulta:** 9.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind EDB Postgres AI Database?

- **Vendedor:** [EnterpriseDB (EDB)](https://www.g2.com/es/sellers/enterprisedb-edb)
- **Sitio web de la empresa:** enterprisedb.com
- **Año de fundación:** 2004
- **Ubicación de la sede:** Bedford, US
- **Twitter:** @EDBPostgres  
8,631 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c7b4321885f510114f67d2e9f2bd87569c6bf97728fec4f70bc410dc5bf21cf3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fedbpostgres%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,535 empleados en LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Administrador de bases de datos, Ingeniero de software
- **Top Industries:** Tecnología de la información y servicios, Software de Computadora
- **Company Size:** 43% Medium, 29% Large

#### What Do G2 Reviewers Say About EDB Postgres AI Database?

_AI-generated summary from verified user reviews_

##### Pros

- Los usuarios valoran el **fantástico soporte al cliente** de EDB para PostgreSQL, asegurando asistencia confiable siempre que sea necesario.
- Los usuarios elogian a EDB por la **optimización avanzada del rendimiento** de PostgreSQL, lo que permite un manejo eficiente de grandes volúmenes de datos y cargas de trabajo con alta concurrencia.
- Los usuarios aprecian el **soporte de migración fácil** de EDB para PostgreSQL, facilitando transiciones suaves desde bases de datos Oracle.
- Los usuarios valoran la **fuerte seguridad de datos** de EDB para PostgreSQL, proporcionando una protección vital contra amenazas como la inyección SQL.
- Los usuarios valoran las **características de seguridad mejoradas** en EDB para PostgreSQL, asegurando una protección robusta en entornos empresariales.

##### Cons

- Los usuarios encuentran que los **costos de licencia y soporte** de EDB para PostgreSQL son bastante altos y complejos.
- Los usuarios experimentan una **curva de aprendizaje pronunciada** con EDB para PostgreSQL, especialmente al tratar con características avanzadas y configuraciones.
- Los usuarios encuentran que las **limitaciones de características** de EDB para PostgreSQL pueden ser costosas y complejas para equipos más pequeños.
- Los usuarios a menudo encuentran la **pobre documentación** un obstáculo, particularmente cuando se trata de agrupadores de conexiones y actualizaciones.
- Los usuarios experimentan **confusión de precios** con EDB para PostgreSQL, encontrando los detalles de la licencia poco claros y complicados.

#### What Are Recent G2 Reviews of EDB Postgres AI Database?

**["PostgreSQL listo para empresas con fuerte compatibilidad con Oracle y seguridad"](https://www.g2.com/es/survey_responses/edb-postgres-ai-database-review-13123809)**

**Rating:** 5.0/5.0 stars

_— Devendra M._

[Read full review](https://www.g2.com/es/survey_responses/edb-postgres-ai-database-review-13123809)

**["PostgreSQL flexible con monitoreo empresarial y gestión centralizada"](https://www.g2.com/es/survey_responses/edb-postgres-ai-database-review-13166680)**

**Rating:** 4.5/5.0 stars

_— Ojas E._

[Read full review](https://www.g2.com/es/survey_responses/edb-postgres-ai-database-review-13166680)

### [Supabase](https://www.g2.com/it/products/supabase-supabase/reviews)

Supabase è una piattaforma open-source di backend-as-a-service (BaaS) che consente agli sviluppatori di creare e scalare applicazioni in modo efficiente senza gestire l'infrastruttura del server. Lanciato nel 2020 come alternativa a Firebase, Supabase offre una suite di strumenti tra cui un database PostgreSQL, autenticazione, sottoscrizioni in tempo reale e capacità di archiviazione. Sfruttando la robustezza di PostgreSQL, Supabase fornisce una base scalabile e sicura per applicazioni web e mobili moderne. Caratteristiche e Funzionalità Chiave: - Database PostgreSQL: Ogni progetto Supabase include un database PostgreSQL dedicato, che offre pieno supporto SQL e funzionalità avanzate come la gestione JSON, la ricerca full-text e il supporto vettoriale. - API Istantanee: Supabase genera automaticamente API RESTful e GraphQL basate sullo schema del tuo database, eliminando la necessità di codifica manuale e accelerando lo sviluppo. - Autenticazione e Autorizzazione: La piattaforma fornisce autenticazione utente integrata con supporto per vari metodi di accesso, inclusi email/password, link magici e accessi social. Si integra anche perfettamente con la Sicurezza a Livello di Riga di PostgreSQL per un controllo degli accessi dettagliato. - Capacità in Tempo Reale: Supabase consente la sincronizzazione dei dati in tempo reale tramite WebSockets, permettendo alle applicazioni di rispondere istantaneamente ai cambiamenti del database. - Funzioni Edge: Gli sviluppatori possono distribuire funzioni serverless vicino agli utenti per un'esecuzione a bassa latenza, facilitando una logica di backend scalabile ed efficiente. - Archiviazione File: Supabase offre soluzioni di archiviazione scalabili per la gestione e la distribuzione di file, complete di politiche di accesso configurabili per garantire la sicurezza dei dati. Valore Primario e Soluzioni per gli Utenti: Supabase affronta le sfide che gli sviluppatori incontrano nella creazione e scalabilità delle applicazioni fornendo una piattaforma di backend open-source completa. Elimina le complessità della gestione dell'infrastruttura del server, permettendo agli sviluppatori di concentrarsi sulla creazione di applicazioni ricche di funzionalità. Con le sue capacità in tempo reale, l'autenticazione robusta e l'integrazione senza soluzione di continuità con PostgreSQL, Supabase consente agli sviluppatori di costruire applicazioni sicure, scalabili e reattive in modo efficiente.

**Average Rating:** 4.6/5.0

**Total Reviews:** 148

#### How Do G2 Users Rate Supabase?

- **Facilità d'uso:** 9.0/10 (Category avg: 8.5/10)
- **Gestione del carico di lavoro:** 7.8/10 (Category avg: 8.3/10)
- **Schema dei dati:** 9.6/10 (Category avg: 8.6/10)
- **Linguaggio di interrogazione:** 8.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Supabase?

- **Venditore:** [Supabase](https://www.g2.com/it/sellers/supabase)
- **Anno di Fondazione:** 2020
- **Sede centrale:** Global, US
- **Pagina LinkedIn®:** [www.linkedin.com](https://www.g2.com/it/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=90292f271b5b4feb535f6c4c2b32bb22ad2b1d3a612cb21ca0afc68b74ac3772&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsupabase%2F&secure%5Burl_type%5D=linkedin_company_website)  
357 dipendenti su LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Founder, Software Engineer
- **Top Industries:** Software per computer, Tecnologia dell'informazione e servizi
- **Company Size:** 71% Small, 23% Medium

#### What Do G2 Reviewers Say About Supabase?

_AI-generated summary from verified user reviews_

##### Pros

- Gli utenti apprezzano la **facilità d'uso** di Supabase, sottolineando la sua semplice configurazione e l'esperienza backend intuitiva.
- Gli utenti apprezzano il **design potente e l'API intuitiva** di Supabase, rendendo lo sviluppo sia facile che piacevole.
- Gli utenti trovano Supabase **facile da usare** , apprezzandone la semplicità, l'ottima interfaccia utente e l'integrazione senza problemi con gli strumenti.
- Gli utenti trovano che le **integrazioni facili** con Supabase migliorano la loro esperienza di sviluppo e semplificano la configurazione dei progetti senza sforzo.
- Gli utenti apprezzano le **integrazioni senza soluzione di continuità** di Supabase, rendendo facile connettersi con vari strumenti di sviluppo senza problemi.

##### Cons

- Gli utenti trovano che Supabase abbia una **scarsa amichevolezza per i principianti** , poiché la sua complessità e il supporto limitato ostacolano l'esperienza dei programmatori alle prime armi.
- Gli utenti trovano i **prezzi alti** , in particolare per i servizi premium che dovrebbero essere accessibili a tutti gli utenti.
- Gli utenti trovano la **grande complessità** di Supabase impegnativa, in particolare per i programmatori principianti che cercano strumenti facili da usare.
- Gli utenti ritengono che Supabase manchi di **guida insufficiente** , in particolare per i programmatori principianti che necessitano di una documentazione migliore e di una maggiore facilità d'uso.
- Gli utenti trovano **difficoltà di apprendimento** con Supabase, specialmente i principianti che lottano con strumenti complessi e supporto limitato dalla comunità.

#### What Are Recent G2 Reviews of Supabase?

**["Supabase ci ha dato la velocità di BaaS senza vincolarci a un database proprietario"](https://www.g2.com/it/survey_responses/supabase-review-13211696)**

**Rating:** 4.5/5.0 stars

_— Yurii L._

[Read full review](https://www.g2.com/it/survey_responses/supabase-review-13211696)

**["Supabase: Backend completo e amichevole per gli sviluppatori che accelera lo sviluppo"](https://www.g2.com/it/survey_responses/supabase-review-13209007)**

**Rating:** 4.5/5.0 stars

_— Atharva S._

[Read full review](https://www.g2.com/it/survey_responses/supabase-review-13209007)

### [Azure SQL Database](https://www.g2.com/products/azure-sql-database/reviews)

Azure SQL Database is a fully managed, intelligent relational database service built on the Microsoft SQL Server engine, designed to support modern cloud applications. It offers scalability, high availability, and robust security features, enabling developers to build and maintain applications without the complexities of infrastructure management. Key Features and Functionality: - Hyperscale Storage: Rapidly scale storage resources to meet demand, supporting large databases with up to 100 TB capacity. - Serverless Compute: Automatically adjust compute resources based on workload needs, optimizing performance and cost. - Built-in Intelligence: Utilize AI-driven features for performance tuning, threat detection, and advanced security measures. - High Availability: Ensure business continuity with automatic backups, geo-replication, and a 99.99% uptime SLA. - Advanced Security: Protect data with multi-layered security, including encryption, access controls, and compliance with over 100 certifications. Primary Value and Solutions Provided: Azure SQL Database simplifies database management by automating routine tasks such as patching, backups, and monitoring, allowing developers to focus on application development. Its scalability and performance capabilities support applications of varying sizes, from small web apps to large enterprise solutions. The integration with Azure services and support for AI and machine learning workloads enable the creation of intelligent applications. Additionally, its comprehensive security and compliance features ensure data protection and regulatory adherence, making it a reliable choice for businesses seeking a robust cloud-based database solution.

**Average Rating:** 4.5/5.0

**Total Reviews:** 232

#### How Do G2 Users Rate Azure SQL Database?

- **Ease of Use:** 8.8/10 (Category avg: 8.5/10)
- **Workload Management:** 8.7/10 (Category avg: 8.3/10)
- **Data Schema:** 8.9/10 (Category avg: 8.6/10)
- **Query Language:** 9.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Azure SQL Database?

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 employees on LinkedIn®
- **Ownership:** MSFT

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 40% Large, 33% Medium

#### What Do G2 Reviewers Say About Azure SQL Database?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **scalability** of Azure SQL Database, allowing for effortless database expansion without additional hardware.
- Users value the **seamless integrations** of Azure SQL Database, enhancing their experience across various technologies and services.
- Users value the **strong security features** of Azure SQL Database, enhancing data protection for their applications.
- Users value the **ease of use** of Azure SQL Database, facilitating seamless integration and management for businesses.
- Users value the **easy integrations** of Azure SQL Database, enabling seamless connectivity across various technologies for application development.

##### Cons

- Users find Azure SQL Database **expensive** , especially for large databases and high-performance requirements, affecting overall value.
- Users face **complexity issues** managing Azure SQL Database due to a confusing billing structure and unexpected costs.
- Users find the **complexity of cost management** and frequent renaming frustrating, complicating their experience with Azure SQL Database.
- Users find **feature limitations** in Azure SQL Database necessitate workarounds and increase complexity, impacting overall usability.
- Users note **limited database support** in Azure SQL Database, lacking essential features and user-friendly GUI options for tasks.

#### What Are Recent G2 Reviews of Azure SQL Database?

**["Hands-Off Scaling and Seamless Azure Integration with Azure SQL Database"](https://www.g2.com/survey_responses/azure-sql-database-review-12828652)**

**Rating:** 5.0/5.0 stars

_— Bhavana K._

[Read full review](https://www.g2.com/survey_responses/azure-sql-database-review-12828652)

**["Effortless Database Management, but Be Mindful of Costs"](https://www.g2.com/survey_responses/azure-sql-database-review-12554681)**

**Rating:** 5.0/5.0 stars

_— Raziya S._

[Read full review](https://www.g2.com/survey_responses/azure-sql-database-review-12554681)

#### What Are G2 Users Discussing About Azure SQL Database?

- [What is Azure SQL Database used for?](https://www.g2.com/discussions/what-is-azure-sql-database-used-for) - 3 comments, 1 upvote
- [Is Azure SQL Database free?](https://www.g2.com/discussions/is-azure-sql-database-free) - 2 comments
- [How will your organization use Azure SQL Database?](https://www.g2.com/discussions/how-will-your-organization-use-azure-sql-database)
- [What version of SQL does Azure use?](https://www.g2.com/discussions/what-version-of-sql-does-azure-use)
- [What is Azure SQL Database?](https://www.g2.com/discussions/what-is-azure-sql-database)

### [PostgreSQL](https://www.g2.com/products/postgresql/reviews)

PostgreSQL is a powerful, open-source object-relational database system renowned for its reliability, extensibility, and adherence to SQL standards. Originating from the POSTGRES project at the University of California at Berkeley in 1986, it has evolved over nearly four decades into a robust platform capable of handling complex data workloads across various operating systems. PostgreSQL's architecture emphasizes data integrity and scalability, making it a preferred choice for developers and organizations worldwide. Key Features and Functionality: - Comprehensive Data Types: Supports a wide range of data types, including primitives (Integer, Numeric, String, Boolean), structured (Date/Time, Array, Range), document (JSON/JSONB, XML), and geometric types. - Advanced Data Integrity: Ensures data accuracy through features like UNIQUE constraints, primary and foreign keys, exclusion constraints, and various locking mechanisms. - High Performance and Concurrency: Utilizes advanced indexing methods (B-tree, GiST, GIN, BRIN), a sophisticated query planner, multi-version concurrency control (MVCC), parallel query execution, and table partitioning to optimize performance. - Reliability and Disaster Recovery: Offers write-ahead logging (WAL), various replication methods (asynchronous, synchronous, logical), point-in-time recovery (PITR), and active standbys to ensure data durability and availability. - Robust Security Measures: Provides multiple authentication methods (GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, OAuth 2.0), a comprehensive access-control system, and supports multi-factor authentication. - Extensibility: Allows the creation of custom data types, functions, and operators. Supports procedural languages like PL/pgSQL, Perl, Python, and Tcl, with additional languages available through extensions. Primary Value and User Solutions: PostgreSQL addresses the needs of developers and organizations by offering a highly extensible and standards-compliant database system that ensures data integrity, scalability, and robust performance. Its open-source nature allows for continuous innovation and adaptability, enabling users to tailor the database to their specific requirements. Whether managing small applications or large-scale enterprise systems, PostgreSQL provides a reliable foundation for storing and processing data efficiently.

**Average Rating:** 4.4/5.0

**Total Reviews:** 651

#### How Do G2 Users Rate PostgreSQL?

- **Ease of Use:** 8.5/10 (Category avg: 8.5/10)
- **Workload Management:** 8.7/10 (Category avg: 8.3/10)
- **Data Schema:** 9.1/10 (Category avg: 8.6/10)
- **Query Language:** 9.2/10 (Category avg: 8.5/10)

#### Who Is the Company Behind PostgreSQL?

- **Seller:** [PostgreSQL](https://www.g2.com/sellers/postgresql)
- **HQ Location:** United States
- **Twitter:** @postgresql  
56,876 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f3e672884add8e3d8029fc6568ddbda22bb2e70fc8cc71e62181afce0f2032e5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F758353%2F&secure%5Burl_type%5D=linkedin_company_website)  
90 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 36% Small, 35% Medium

#### What Do G2 Reviewers Say About PostgreSQL?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise PostgreSQL for its **reliability and extensive feature set** , enhancing both performance and user experience.
- Users value the **ease of use** of PostgreSQL, appreciating its integration capabilities and straightforward setup.
- Users value the **reliability and flexibility** of PostgreSQL, praising its powerful features and open-source advantages.
- Users highlight the **incredible reliability** of PostgreSQL, praising its performance, ACID compliance, and data integrity.
- Users applaud the **scalability** of PostgreSQL, appreciating its ability to adapt to both small and large projects effortlessly.

##### Cons

- Users find PostgreSQL's **beginner unfriendliness** daunting, with a steep learning curve and complex configuration requirements.
- Users find the **complexity** of PostgreSQL's management tasks and SQL syntax to be challenging compared to simpler databases.
- Users face a **steep learning curve** with PostgreSQL, complicating onboarding and requiring significant time to master.
- Users experience **slow performance** with large databases and complex queries, impacting their overall satisfaction.
- Users find the **complex configuration** of PostgreSQL challenging, particularly for performance tuning and managing replication.

#### What Are Recent G2 Reviews of PostgreSQL?

**["Solid relational database for a real-world PHP clinic management system"](https://www.g2.com/survey_responses/postgresql-review-12863394)**

**Rating:** 4.5/5.0 stars

_— Pramoda H._

[Read full review](https://www.g2.com/survey_responses/postgresql-review-12863394)

**["PostgreSQL: Flexible, Reliable, and Easy to Scale"](https://www.g2.com/survey_responses/postgresql-review-12926786)**

**Rating:** 5.0/5.0 stars

_— Hrithik V._

[Read full review](https://www.g2.com/survey_responses/postgresql-review-12926786)

#### What Are G2 Users Discussing About PostgreSQL?

- [What is PostgreSQL used for?](https://www.g2.com/discussions/what-is-postgresql-used-for) - 1 comment
- [What is special about PostgreSQL?](https://www.g2.com/discussions/what-is-special-about-postgresql) - 1 comment
- [Why do we need PostgreSQL?](https://www.g2.com/discussions/why-do-we-need-postgresql)
- [What are the advantages and disadvantages of PostgreSQL?](https://www.g2.com/discussions/what-are-the-advantages-and-disadvantages-of-postgresql) - 2 comments
- [What programs use PostgreSQL?](https://www.g2.com/discussions/what-programs-use-postgresql) - 1 comment

### [IBM Db2](https://www.g2.com/products/ibm-db2/reviews)

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.

**Average Rating:** 4.1/5.0

**Total Reviews:** 599

#### How Do G2 Users Rate IBM Db2?

- **Ease of Use:** 8.0/10 (Category avg: 8.5/10)
- **Workload Management:** 8.5/10 (Category avg: 8.3/10)
- **Data Schema:** 8.6/10 (Category avg: 8.6/10)
- **Query Language:** 8.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind IBM Db2?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®
- **Ownership:** SWX:IBM

#### Who Uses This Product?

- **Who Uses This:** Senior Software Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Banking
- **Company Size:** 66% Large, 21% Medium

#### What Do G2 Reviewers Say About IBM Db2?

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **exceptional performance** of IBM Db2, praising its reliability and scalability for critical workloads.
- Users value the **high reliability** of IBM Db2, ensuring excellent performance and stability for critical workloads.
- Users appreciate the **scalability** of IBM Db2, finding it ideal for high-performance, enterprise-level applications.
- Users highlight the **strong security** of IBM Db2, making it a reliable choice for critical workloads across industries.
- Users appreciate the **ease of use** of IBM Db2, highlighting its seamless integration and user-friendly features.

##### Cons

- Users find the **complex setup** of IBM Db2 challenging, often leading to a steep learning curve for effective use.
- Users find IBM Db2 to be **expensive** , with high licensing costs and significant resource demands impacting their budget.
- Users face a **steep learning curve** with IBM Db2, making setup and administration challenging for newcomers.
- Users find IBM Db2's setup **complex** , with a steep learning curve and challenges in documentation and support.
- Users find the **difficult setup** of IBM Db2 challenging, citing complexity and steep learning curves as significant barriers.

#### What Are Recent G2 Reviews of IBM Db2?

**["Comprehensive Review of DB2 on IBM i (AS/400)"](https://www.g2.com/survey_responses/ibm-db2-review-9863177)**

**Rating:** 4.5/5.0 stars

_— Swapnil T._

[Read full review](https://www.g2.com/survey_responses/ibm-db2-review-9863177)

**["IBM Db2: A Reliable and High-Performance Enterprise Database Platform"](https://www.g2.com/survey_responses/ibm-db2-review-13196115)**

**Rating:** 4.5/5.0 stars

_— Vinodh P._

[Read full review](https://www.g2.com/survey_responses/ibm-db2-review-13196115)

#### What Are G2 Users Discussing About IBM Db2?

- [What is IBM Db2 used for?](https://www.g2.com/discussions/what-is-ibm-db2-used-for) - 1 comment
- [What does Ibm Dashdb do?](https://www.g2.com/discussions/what-does-ibm-dashdb-do) - 1 comment
- [What database does IBM use?](https://www.g2.com/discussions/what-database-does-ibm-use)
- [What is DB2 Warehouse?](https://www.g2.com/discussions/what-is-db2-warehouse)
- [What is IBM dashDB?](https://www.g2.com/discussions/what-is-ibm-dashdb)

### [YugabyteDB](https://www.g2.com/products/yugabytedb/reviews)

YugabyteDB is AI-ready, turbocharged PostgreSQL for business-critical transactional applications. 100% open source, it offers built-in resilience, on-demand scaling, and more! YugabyteDB eliminates the tradeoffs you get with legacy databases by uniquely combining enterprise-grade RDBMS capabilities with the horizontal scalability and resilience of cloud native architectures. YugabyteDB delivers a single logical database that can span across any cloud (private, public or hybrid). Industry-leading companies including Kroger, GM, Rakuten, Fiserv and Wells Fargo rely on YugabyteDB for mission-critical transactional applications. PostgreSQL Compatibility: YugabyteDB is more than just wire compatible with PostgreSQL, it is code compatible. YugabyteDB achieves this by reusing PostgreSQL’s query layer to achieve a high degree of compatibility with existing PostgreSQL applications or those that can be migrated to PostgreSQL. Developers can be immediately productive with the ecosystem of PostgreSQL-compatible frameworks, applications, drivers, and tools. Advanced Relational Database Capabilities: YugabyteDB delivers a comprehensive set of advanced RDBMS features like triggers, functions, stored procedures, strong secondary indexes, and distributed ACID transactions. This means that developers don't need to choose between the horizontal scalability of NoSQL systems and the ACID guarantees of traditional SQL systems. Resilience and High Availability: With YugabyteDB, critical services remain available during node, zone, region, and data center failures with fast failovers. YugabyteDB heals itself by re-replicating data automatically, and delivers zero downtime on maintenance tasks such as software upgrades, security patching, and distributed backups. Horizontal Scalability: Operations teams can effortlessly scale out even under heavy load without disruption or downtime by simply adding nodes to their YugabyteDB cluster. The database automatically rebalances load to use available resources. YugabyteDB’s shared nothing architecture is designed with no single point of failure or bottleneck. Geographic Distribution: YugabyteDB offers the most comprehensive and flexible deployment options in geo-distributed environments. Operators can make use of synchronous and asynchronous data replication and geo-partitioning to achieve desired consistency, resilience, performance, and compliance objectives. Security: YugabyteDB is built from the ground up with data security in mind. The database enables organizations to maintain a robust security posture with built-in controls such as LDAP authentication, role-based access control (RBAC), data encryption at rest and in transit (TLS), audit logging, and column-level permissions. Advanced features such as row level security (RLS) and column-level encryption are available for more advanced use cases. YugabyteDB is 100% open source, so download and start using the full set of features for free. You can also choose a flexible cloud DBaaS consumption option based on your needs: 1. YugabyteDB Aeon: Start with a free trial and enjoy a fully-managed DBaaS service that allows you to leave the day 2 operations and management work to YugabyteDB. 2. YugabyteDB Anywhere: Deploy a self-managed DBaaS in your environment with built-in automation to deploy, scale, and monitor YugabyteDB clusters at scale. YugabyteDB Voyager is an end-to-end modernization tool that can accelerate your cloud native adoption by simplifying the migration of both schema and data from databases including Oracle, PostgreSQL, MySQL, Aurora PostgreSQL, Azure SQL for PostgreSQL, and more. Learn more about YugabyteDB: https://www.yugabyte.com/ Sign up for YugabyteDB Aeon for free: https://cloud.yugabyte.com/

**Average Rating:** 4.5/5.0

**Total Reviews:** 62

#### How Do G2 Users Rate YugabyteDB?

- **Ease of Use:** 9.0/10 (Category avg: 8.5/10)
- **Workload Management:** 8.1/10 (Category avg: 8.3/10)
- **Data Schema:** 8.6/10 (Category avg: 8.6/10)
- **Query Language:** 9.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind YugabyteDB?

- **Seller:** [Yugabyte, Inc.](https://www.g2.com/sellers/yugabyte-inc)
- **Company Website:** www.yugabyte.com
- **Year Founded:** 2016
- **HQ Location:** Sunnyvale, CA
- **Twitter:** @Yugabyte  
9,272 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0610079f63834a2a85c51161abbc2e3f4f8c02ef33ea548b6e449a1c785255fb&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10643910&secure%5Burl_type%5D=linkedin_company_website)  
474 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Financial Services, Computer Software
- **Company Size:** 45% Medium, 40% Small

#### What Do G2 Reviewers Say About YugabyteDB?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **easy scalability** of YugabyteDB, enabling seamless growth without major downtime or headaches.
- Users praise YugabyteDB for its **high reliability** , ensuring data safety and seamless performance even under pressure.
- Users value the **high availability** of YugabyteDB, ensuring reliable performance and minimal downtime for critical applications.
- Users value the **high availability** of YugabyteDB, enabling seamless performance and minimal downtime for critical workloads.
- Users value the **outstanding performance** of YugabyteDB, enjoying scalability and resilience for high-volume applications.

##### Cons

- Users find **operational complexity** in YugabyteDB challenging, especially when dealing with distributed systems and advanced features.
- Users find the **learning curve steep** due to complex setup and operational requirements for YugabyteDB.
- Users find the **complex setup** of YugabyteDB challenging, requiring effort and time compared to simpler databases.
- Users find the **complex configuration** challenging, especially when managing distributed clusters as beginners.
- Users experience **slow performance** issues with YugabyteDB, complicating data retrieval and overall operational efficiency.

#### What Are Recent G2 Reviews of YugabyteDB?

**["Good for PostgreSQL scaling, but operational complexity can grow"](https://www.g2.com/survey_responses/yugabytedb-review-7716153)**

**Rating:** 4.5/5.0 stars

_— Otacilio Pedro S._

[Read full review](https://www.g2.com/survey_responses/yugabytedb-review-7716153)

**["Great for Learning Distributed Databases with Real-World Use"](https://www.g2.com/survey_responses/yugabytedb-review-11199640)**

**Rating:** 4.5/5.0 stars

_— Vikas Kumar S._

[Read full review](https://www.g2.com/survey_responses/yugabytedb-review-11199640)

### [TiDB](https://www.g2.com/es/products/tidb/reviews)

TiDB es una solución avanzada de base de datos SQL distribuida y de código abierto, diseñada para ayudar a las empresas intensivas en datos a gestionar y escalar sus operaciones de datos sin problemas. Desarrollada por PingCAP, TiDB combina la escalabilidad de las bases de datos NoSQL con la funcionalidad completa de los sistemas de gestión de bases de datos relacionales tradicionales (RDBMS). Esta arquitectura única permite a las organizaciones construir clústeres a escala de petabytes mientras manejan eficientemente millones de tablas, numerosas conexiones concurrentes y cambios frecuentes de esquema sin experimentar tiempo de inactividad. El público objetivo de TiDB incluye grandes empresas, proveedores de software como servicio (SaaS) y empresas nativas digitales que requieren capacidades robustas de gestión de datos. Estas organizaciones a menudo enfrentan desafíos relacionados con la escalabilidad de datos, la complejidad operativa y la necesidad de alta disponibilidad. TiDB aborda estos desafíos ofreciendo una solución que soporta una amplia gama de cargas de trabajo, incluidas tareas transaccionales, analíticas, operativas e inteligencia artificial (IA). Su arquitectura multi-inquilino mejora aún más la agilidad operativa, permitiendo a las empresas adaptarse rápidamente a las demandas cambiantes. Las características clave de TiDB incluyen una escalabilidad sin interrupciones, que permite a las organizaciones expandir su infraestructura de base de datos sin esfuerzo a medida que crecen sus necesidades de datos. La compatibilidad con MySQL de la plataforma asegura que los desarrolladores puedan integrar fácilmente TiDB en flujos de trabajo existentes y aprovechar herramientas y plataformas familiares. Además, TiDB soporta operaciones DDL (Lenguaje de Definición de Datos) en línea, permitiendo cambios de esquema sin preocupaciones que no interrumpen los procesos en curso. Esta flexibilidad operativa es crítica para las empresas que requieren un tiempo de actividad constante y fiabilidad. TiDB también prioriza la seguridad y disponibilidad de los datos, presumiendo de cumplimiento ACID (Atomicidad, Consistencia, Aislamiento, Durabilidad) incorporado y una notable tasa de disponibilidad del 99.99%. La base de datos se adhiere a varios estándares regulatorios, incluyendo GDPR, SOC, HIPAA y PCI, asegurando que las organizaciones puedan confiar en sus prácticas de gestión de datos. Empresas notables como Databricks, Pinterest y Plaid han adoptado TiDB, permitiéndoles concentrarse en el crecimiento y la innovación en lugar de las complejidades de la gestión de infraestructura de datos. Con sus innovaciones impulsadas por IA y capacidades multi-nube, TiDB se destaca como una solución poderosa para las empresas que buscan mejorar sus estrategias de gestión de datos. Al proporcionar una agilidad, resiliencia y seguridad incomparables, TiDB empodera a las organizaciones para desbloquear su máximo potencial en un mundo cada vez más impulsado por los datos. Para más información, visite TiDB.io.

**Average Rating:** 4.6/5.0

**Total Reviews:** 67

#### How Do G2 Users Rate TiDB?

- **Facilidad de uso:** 8.3/10 (Category avg: 8.5/10)
- **Gestión de la carga de trabajo:** 9.0/10 (Category avg: 8.3/10)
- **Esquema de datos:** 9.2/10 (Category avg: 8.6/10)
- **Lenguaje de consulta:** 9.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind TiDB?

- **Vendedor:** [PingCAP](https://www.g2.com/es/sellers/pingcap)
- **Sitio web de la empresa:** tidb.io
- **Año de fundación:** 2015
- **Ubicación de la sede:** Sunnyvale 
- **Twitter:** @PingCAP  
7,268 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=97feeff0f3bb4906e69c91330a88caf7e60daa531a2894ebf5640640b4467879&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpingcap&secure%5Burl_type%5D=linkedin_company_website)  
501 empleados en LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** DBA, Ingeniero de Software Senior
- **Top Industries:** Software de Computadora, Tecnología de la información y servicios
- **Company Size:** 31% Large, 27% Small

#### What Do G2 Reviewers Say About TiDB?

_AI-generated summary from verified user reviews_

##### Pros

- Los usuarios elogian la **escalabilidad sin fisuras** de TiDB, que permite un manejo de datos eficiente y crecimiento sin intervención manual.
- Los usuarios aprecian la **facilidad de uso** de TiDB, disfrutando de una integración sin problemas y un despliegue sencillo en varias plataformas.
- Los usuarios aprecian la **escalabilidad horizontal y la fuerte consistencia** de TiDB, mejorando su experiencia de gestión de bases de datos.
- Los usuarios valoran la **compatibilidad con MySQL** de TiDB, facilitando una adopción fluida y un escalado sin problemas a medida que los datos crecen.
- Los usuarios elogian a TiDB por su **rendimiento excepcional** , manejando grandes cantidades de datos de manera eficiente y apoyando el análisis en tiempo real sin problemas.

##### Cons

- Los usuarios encuentran la **empinada curva de aprendizaje** de TiDB particularmente desafiante al adaptarse a su arquitectura distribuida y ajuste de rendimiento.
- Los usuarios informan de **problemas de rendimiento** con TiDB, particularmente en TiFlash y los requisitos generales de recursos, afectando su experiencia de desarrollo.
- Los usuarios experimentan **rendimiento lento** con TiDB, especialmente en entornos más pequeños, lo que afecta la eficiencia general y la utilización de recursos.
- Los usuarios enfrentan una **difícil curva de aprendizaje** con la arquitectura distribuida de TiDB, especialmente en lo que respecta a la optimización del rendimiento y la compatibilidad.
- Los usuarios encuentran que la **pobre documentación** de TiDB complica la comprensión de configuraciones complejas y la optimización de características, especialmente para principiantes.

#### What Are Recent G2 Reviews of TiDB?

**["TiDB ofrece la escala de NoSQL con la simplicidad de SQL y la compatibilidad con MySQL."](https://www.g2.com/es/survey_responses/tidb-review-12342698)**

**Rating:** 5.0/5.0 stars

_— yugesh K._

[Read full review](https://www.g2.com/es/survey_responses/tidb-review-12342698)

**["Integración sin fisuras, fiable y escalable"](https://www.g2.com/es/survey_responses/tidb-review-12354194)**

**Rating:** 4.5/5.0 stars

_— Abhishek ._

[Read full review](https://www.g2.com/es/survey_responses/tidb-review-12354194)

### [Teradata Autonomous Knowledge Platform](https://www.g2.com/es/products/teradata-autonomous-knowledge-platform/reviews)

La Plataforma de Conocimiento Autónomo de Teradata activa la inteligencia empresarial unificando datos, conocimiento y contexto empresarial para lograr resultados tangibles. Con Teradata, las organizaciones pueden proporcionar a los agentes el contexto completo para tener impacto cuando importa. Nuestra solución permite a las empresas conectarse y escalar en las instalaciones, en la nube o a través de un enfoque híbrido. Teradata ofrece un valor comercial real con IA. Aprende más en Teradata.com.

**Average Rating:** 4.3/5.0

**Total Reviews:** 356

#### How Do G2 Users Rate Teradata Autonomous Knowledge Platform?

- **Facilidad de uso:** 8.3/10 (Category avg: 8.5/10)
- **Gestión de la carga de trabajo:** 8.9/10 (Category avg: 8.3/10)
- **Esquema de datos:** 8.9/10 (Category avg: 8.6/10)
- **Lenguaje de consulta:** 8.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Teradata Autonomous Knowledge Platform?

- **Vendedor:** [Teradata Autonomous Knowledge Platform](https://www.g2.com/es/sellers/teradata-autonomous-knowledge-platform)
- **Año de fundación:** 1979
- **Ubicación de la sede:** San Diego, CA
- **Twitter:** @Teradata  
93,113 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=06895b9a8db4fa478ba7da480ccd214a14ef698abd028e4642e62f189e82b650&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1466%2F&secure%5Burl_type%5D=linkedin_company_website)  
9,941 empleados en LinkedIn®
- **Propiedad:** NYSE:TDC

#### Who Uses This Product?

- **Who Uses This:** Ingeniero de Datos, Ingeniero de software
- **Top Industries:** Tecnología de la información y servicios, Servicios Financieros
- **Company Size:** 69% Large, 22% Medium

#### What Do G2 Reviewers Say About Teradata Autonomous Knowledge Platform?

_AI-generated summary from verified user reviews_

##### Pros

- Los usuarios destacan el **rendimiento extremo** de la Plataforma de Conocimiento Autónomo de Teradata, especialmente para procesar grandes volúmenes de datos de manera eficiente.
- Los usuarios valoran la **alta ejecución de consultas de rendimiento** en Teradata, mejorando significativamente sus capacidades de análisis empresarial.
- Los usuarios valoran la **escalabilidad** de la Plataforma de Conocimiento Autónomo de Teradata, mejorando significativamente la integración de datos y la eficiencia operativa.
- Los usuarios elogian el **alto rendimiento y velocidad** de Teradata, procesando eficientemente grandes conjuntos de datos sin problemas.
- Los usuarios valoran el **rápido procesamiento de grandes conjuntos de datos** con Teradata, elogiando su rendimiento y estabilidad durante las operaciones.

##### Cons

- Los usuarios encuentran la **empinada curva de aprendizaje** de la Plataforma de Conocimiento Autónomo de Teradata desafiante, lo que afecta temporalmente la adopción y la productividad.
- Los usuarios encuentran la **empinada curva de aprendizaje** de la Plataforma de Conocimiento Autónomo de Teradata desafiante, especialmente para aquellos que carecen de experiencia técnica.
- Los usuarios encuentran la **complejidad** de la plataforma de Teradata desafiante, especialmente para los usuarios no técnicos y los nuevos adoptantes.
- Los usuarios expresan preocupaciones sobre los **requisitos de gestión de costos** necesarios para evitar un posible mal uso y problemas de rendimiento.
- Los usuarios sienten que el **alto costo** de la Plataforma de Conocimiento Autónomo de Teradata es un inconveniente significativo que afecta la accesibilidad.

#### What Are Recent G2 Reviews of Teradata Autonomous Knowledge Platform?

**["Rendimiento de Consulta Rápida de Teradata Vantage y Análisis Potente para Big Data"](https://www.g2.com/es/survey_responses/teradata-autonomous-knowledge-platform-review-12821668)**

**Rating:** 5.0/5.0 stars

_— Muzammil M._

[Read full review](https://www.g2.com/es/survey_responses/teradata-autonomous-knowledge-platform-review-12821668)

**["Teradata Vantage se destaca en el procesamiento de grandes datos y análisis avanzados."](https://www.g2.com/es/survey_responses/teradata-autonomous-knowledge-platform-review-12739181)**

**Rating:** 4.5/5.0 stars

_— Nijat I._

[Read full review](https://www.g2.com/es/survey_responses/teradata-autonomous-knowledge-platform-review-12739181)

#### What Are G2 Users Discussing About Teradata Autonomous Knowledge Platform?

- [What does Teradata Data Lab do?](https://www.g2.com/es/discussions/what-does-teradata-data-lab-do)
- [Is Teradata a premiership?](https://www.g2.com/es/discussions/is-teradata-a-premiership)
- [What is Teradata Vantage?](https://www.g2.com/es/discussions/what-is-teradata-vantage)
- [How much does Teradata cost?](https://www.g2.com/es/discussions/how-much-does-teradata-cost)
- [What is Sandbox in Teradata?](https://www.g2.com/es/discussions/what-is-sandbox-in-teradata)

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[Browse Relational Databases Themes](/categories/relational-databases/themes)

 ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi")
SJ

Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)

Updated June 9, 2025

This page was last updated on June 9th, 2025

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](https://www.g2.com/categories/nosql-databases), such as [object-oriented databases](https://www.g2.com/categories/object-oriented-databases), [document databases](https://www.g2.com/categories/document-databases), and [graph databases](https://www.g2.com/categories/graph-databases). Those looking for a relational database solution with little budget also have options with [free database software](https://learn.g2.com/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 Tools at a Glance

| Product | Best for | User Review |
| --- | --- | --- |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_0d3b67827912f22174857de9475977c9/microsoft-sql-server.jpg "Product Avatar Image")](https://www.g2.com/products/microsoft-sql-server/reviews)[MS SQL](https://www.g2.com/products/microsoft-sql-server/reviews)[4.4/5(2,286)](https://www.g2.com/products/microsoft-sql-server/reviews) | Windows-native transactional databases with Microsoft stack integration | "Makes Data management simpler!!" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_82f55e945509bff7b8009e8024cfe73c/oracle-database.jpg "Product Avatar Image")](https://www.g2.com/products/oracle-database/reviews)[Oracle Database](https://www.g2.com/products/oracle-database/reviews)[4.3/5(1,019)](https://www.g2.com/products/oracle-database/reviews) | Mission-critical OLTP with enterprise-grade availability | "Oracle Scales Smoothly for Massive Data and Complex Queries" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_5e530c81ef1a1d98fe6a0d6eede0397b/sap-hana-cloud-2025-10-01.png "Product Avatar Image")](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)[SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)[4.3/5(620)](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) | Real-time analytics on SAP transactional data | "Efficient Transactions, But Time-Intensive Setup" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_0148ca76408710a295015ec26b43fd3e/amazon-relational-database-service-rds.jpg "Product Avatar Image")](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)[Amazon Relational Database...](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)[4.5/5(909)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) | AWS-native relational databases with automated operations | "Streamlined Database Management with Amazon RDS" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_4260d3116b2d3a4ef0692ed70edf2469/google-cloud-sql.png "Product Avatar Image")](https://www.g2.com/products/google-cloud-sql/reviews)[Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews)[4.5/5(367)](https://www.g2.com/products/google-cloud-sql/reviews) | Fully managed MySQL and PostgreSQL on GCP | "Secure, Highly Available, and Scalable Cloud SQL for Diverse Workloads" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_240340edca859994ec71e4490aa20022/mysql.png "Product Avatar Image")](https://www.g2.com/products/mysql/reviews)[MySQL](https://www.g2.com/products/mysql/reviews)[4.4/5(1,682)](https://www.g2.com/products/mysql/reviews) | Web application backends with PHP integration | "Simple, Reliable, and Easy to Integrate—RDBMS at Its Best" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/amazon-aurora.jpg "Product Avatar Image")](https://www.g2.com/products/amazon-aurora/reviews)[Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews)[4.5/5(457)](https://www.g2.com/products/amazon-aurora/reviews) | MySQL-compatible cloud databases with automated failover | "Scalable and Efficient, But Costly" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_3be223df9a089b69b672e0e7e9696908/edb-postgres-ai-database.png "Product Avatar Image")](https://www.g2.com/products/edb-postgres-ai-database/reviews)[EDB Postgres AI Database](https://www.g2.com/products/edb-postgres-ai-database/reviews)[4.4/5(140)](https://www.g2.com/products/edb-postgres-ai-database/reviews) | Oracle-to-PostgreSQL migration with enterprise support | "Flexible PostgreSQL with Enterprise Monitoring and Centralized Management" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_f176b4154a751d10150daa67a57b7dc5/azure-sql-database.jpg "Product Avatar Image")](https://www.g2.com/products/azure-sql-database/reviews)[Azure SQL Database](https://www.g2.com/products/azure-sql-database/reviews)[4.5/5(241)](https://www.g2.com/products/azure-sql-database/reviews) | Microsoft-native relational workloads with automated infrastructure | "Hands-Off Scaling and Seamless Azure Integration with Azure SQL Database" |

* * *

Show More

### Relational Databases Topics

- [What is Relational Databases Software?](#what-is-relational-databases-software)
- [What's the best relational database tool for app development?](#what-s-the-best-relational-database-tool-for-app-development)
- [What is an ideal relational database for fast-growing businesses?](#what-is-an-ideal-relational-database-for-fast-growing-businesses)
- [What are the Common Features of Relational Databases?](#what-are-the-common-features-of-relational-databases)
- [What are the Benefits of Relational Databases?](#what-are-the-benefits-of-relational-databases)
- [Who Uses Relational Databases?](#who-uses-relational-databases)
- [Challenges with Relational Databases](#challenges-with-relational-databases)
- [Which Companies Should Buy Relational Databases?](#which-companies-should-buy-relational-databases)
- [How to Buy Relational Databases](#how-to-buy-relational-databases)
- [What Does Relational Databases Cost?](#what-does-relational-databases-cost)
- [Relational Databases Trends](#relational-databases-trends)

[
### Relational Databases Topics
Expand/Collapse ](#)
- [What is Relational Databases Software?](#what-is-relational-databases-software)
- [What's the best relational database tool for app development?](#what-s-the-best-relational-database-tool-for-app-development)
- [What is an ideal relational database for fast-growing businesses?](#what-is-an-ideal-relational-database-for-fast-growing-businesses)
- [What are the Common Features of Relational Databases?](#what-are-the-common-features-of-relational-databases)
- [What are the Benefits of Relational Databases?](#what-are-the-benefits-of-relational-databases)
- [Who Uses Relational Databases?](#who-uses-relational-databases)
- [Challenges with Relational Databases](#challenges-with-relational-databases)
- [Which Companies Should Buy Relational Databases?](#which-companies-should-buy-relational-databases)
- [How to Buy Relational Databases](#how-to-buy-relational-databases)
- [What Does Relational Databases Cost?](#what-does-relational-databases-cost)
- [Relational Databases Trends](#relational-databases-trends)

## Learn More About Relational Databases

### What is Relational Databases Software?

Relational databases organize and maintain data in the form of tables that are by rows and columns, where columns represent a single type of data (e.g., an order date), and rows relate to multiple data types to a single, unique identifier. Each row’s unique identifier is called a primary key. In relational databases, multiple tables can be connected using foreign keys. This allows users to search for a range of interconnected data with ease. Relational databases software facilitates the creation, maintenance, and usage of these tables. These solutions store large volumes of data and allow access to structured data sets efficiently and flexibly. 

Relational databases can also be called relational database management systems (RDBMS) or structured query language (SQL) databases. An RDBMS is based on SQL that allows users to update, query, and administer a relational database. SQL is typically the standard programming language used to access a relational database. Relational databases software can read SQL and use SQL syntax or similar. SQL’s syntax is very simplistic, and as such, it is one of the easiest programming languages to access and query relational databases. 

#### What Types of Relational Databases Software Exist?

From a licensing point of view, relational databases can be categorized under two important types:

**Open-source databases**

Open-source software make their source code available for anybody to access. The code is open and free for download and modification.

**Commercially supported databases**

Commercial or proprietary software is solely owned by the entity that developed it. It is made available only under license.

Relational databases can be deployed on both cloud and on-premises as far as the buyer complies with the license: 

**Cloud**

A relational database deployed on the cloud provides an improved infrastructure that lets companies focus more on their strategic work rather than managing a full house of servers on-premises. These solutions provide cost control as organizations pay for what they use.

**On-premises or license **

An on-premises data warehouse software lets organizations buy one time, deploy in-house and enable control over their hardware and software infrastructure. This deployment solution requires a consultant to help with installation and ongoing support. One advantage of on-premises relational solutions is that it gives complete control and access over the data within an organization, helping minimize security risks.

### What's the best relational database tool for app development?

For those looking to find the best relational database tool for app development, these are some top G2 recommended solutions:

- [MySQL](https://www.g2.com/products/mysql/reviews)
- [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
- [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
- [Oracle Database](https://www.g2.com/products/oracle-database/reviews)

These relational database tools offer advanced features, open-source options, and scalability for app developers.

### What is an ideal relational database for fast-growing businesses?

Depending on your or the company's specific needs, G2 offers a variety of options for your ideal relational database software for fast-growing businesses. Some of these top contenders are:

- [Amazon RDS](https://www.g2.com/products/amazon-relational-database-service-rds/reviews): Offers ease of setup, management, and automatic scaling, making it perfect for businesses with fluctuating demands.
- [MariaDB](https://www.g2.com/products/mariadb/reviews): Open-sourced, flexible option that's widely supported, easy to use, and ideal for their scalability and cost efficiency.
- [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews): A fully managed database service that provides scalability, reliability, and secure access in the cloud.

These options are particularly well-suited for businesses anticipating rapid growth.

### What are the Common Features of Relational Databases?

The following are some core features within relational databases that can help users store, organize and maintain large data sets at the same time query data using a structured query language:

**Data storage:** Allows data to be stored in the form of tables (i.e., rows and columns). It also facilitates a primary key, which helps in the unique identification of the rows.

**Data modification:** Allows data update and access to multiple data elements simultaneously. Users can also retrieve data from large volumes of datasets stored in the database using a structured query language.

**Database creation and maintenance:** Quickly create brand-new relational databases and modify them with ease.

**Indexing:** This feature helps build relationships between data elements via keys and indexes which enables users with ease to access and search the databases.

**Scalability:** Relational database solutions grow with data, so the only capacity that’s concerning is physical or cloud storage capacity.

**Data security:** Relational database solutions include data security features to protect the data a business stores in its databases. 

**Access control** : Relational databases grant administrators complete control over who can access them. Users can be granted access based on their work and requirements. 

**OS compatibility:** Relational database solutions are compatible with numerous operating systems, so the user won’t have to worry about the OS when creating databases.

**Recovery** : Whether a database needs to be rolled back or outright recovered, some relational database solutions offer recovery features.

**Multi-user access:** RDBMS solutions allow multiple users to access databases at a single time. This functionality prevents multiple users from colliding with each other when making updates and also blocks access to partial data entries.

Other Features of Relational Databases: [Open source](https://www.g2.com/categories/relational-databases/f/open-source), [Proprietary](https://www.g2.com/categories/relational-databases/f/proprietary)

### What are the Benefits of Relational Databases?

RDBMS solutions are built on a specific relational data model which makes it easy for users to access, update and retrieve data from various data sets within the database. This software can help organizations manage large volumes of data sets at the same time and give them the ability to manipulate and maintain them.

**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 the related description. Since they can be uniquely generated, primary key values are typically numbers, and values (e.g., full name, quantity, order date) are associated with 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 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 that could make use of relational databases tools would be able to do so with basic training on the software.

**Data consistency:** RDBMS is based on the ACID (Atomicity, Consistency, Isolation, and Durability) model which facilitates structured and consistent data sets.

**Speed:** The tabular format of relational databases allows quick data retrieval. The standard SQL language used to pull data from databases enables faster data pull.

**Better decision-making:** Relational databases facilitate the provision of well-organized data which is up to date as well. This helps organizations make accurate and timely decisions. 

### Who Uses Relational Databases?

**Database administrator:** DBAs work towards maintaining the performance and managing the database and the applications connected to them. They are also responsible for the security and integrity of the database as well as any related troubleshoot issues.

**Developers:** Developers write codes in various programming languages to interact with databases. They are also responsible for designing and developing new databases.

**End users:** They are individuals who perform data manipulation tasks on the databases like update, delete, and more.

#### Software Related to Relational Databases

Related solutions that can be used together with relational databases include:

[NoSQL databases software](https://www.g2.com/categories/nosql-databases) **:** As noted previously, while relational databases solutions excel with structured data, NoSQL databases like object-oriented, document, graph, etc., more effectively store loosely structured and unstructured data. NoSQL database solutions pair well with relational databases software if a company deals with diverse data that can be collected by both structured and unstructured means.

[Data warehouse software](https://www.g2.com/categories/data-warehouse) **:** Data warehouse software acts as a single central repository of integrated data from multiple disparate sources that provides business insights with the help of BI Tools. Data warehouses also store data similar to relational databases but the end purpose involves the collection and storing of historical data to perform reporting and data analysis.

[Data quality software](https://www.g2.com/categories/data-quality) **:** Relational databases struggle with handling unstructured data, and duplicate or incorrect data can throw off the accuracy of results once data becomes structured. Data quality solutions help clean and structure data, which makes it easier to turn around and create a formal relational database for that data.

### Challenges with Relational Databases

Software solutions can come with their own set of challenges. 

**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 they 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, users can 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.

### Which Companies Should Buy Relational Databases?

What makes relational databases software particularly beneficial is that it’s highly flexible and can be used by 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 efficiency.

**E-commerce:** Internet prevalence and ease of use has made online ordering, from food 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.

**Healthcare:** 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 a number of data points to describe their condition, including age, weight, blood pressure, and 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 relevant data.

### How to Buy Relational Databases

#### Requirements Gathering (RFI/RFP) for Relational Databases

If a company is just starting and looking to purchase their first relational database solution, or maybe an organization needs to update a legacy system--wherever a business is in its buying process, G2.com can help select the best relational database software for the business.

The particular business pain points might be related to storing and managing large volumes of data sets within an organization. If the company has amassed a lot of data, the need is to look for a solution that can help organize and structure that data to manage it. Users should think about the pain points and jot them down; these should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees who will need to use this software, as this drives the number of licenses they are likely to buy.

Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist serves as a detailed guide that includes both necessary and nice-to-have features including a budget, features, number of users, integrations, security requirements, cloud or on-premises solutions, and more.

Depending on the scope of the deployment, it might be helpful to produce an RFI, a one-page list with a few bullet points describing what is needed from a data warehouse software.

#### Compare Relational Databases Products

**Create a long list**

From meeting the business functionality needs to implementation, vendor evaluations are an essential part of the software buying process. For ease of comparison after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor.

**Create a shortlist**

From the long list of vendors, it is helpful to narrow down the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list in hand, businesses can produce a matrix to compare the features and pricing of the various solutions.

**Conduct demos**

To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and datasets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition. 

#### Selection of Relational Databases

**Choose a selection team**

Before getting started, it's crucial to create a winning team that will work together throughout the entire process, from identifying pain points to implementation. The software selection team should consist of members of the organization who have the right interest, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill roles such as the main decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator, or security administrator. In smaller companies, the vendor selection team may be smaller, with fewer participants multitasking and taking on more responsibilities.

**Negotiation**

Just because something is written on a company’s pricing page, does not mean it is final (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to give a discount for multi-year contracts or for recommending the product to others.

**Final decision**

After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and well-received, the buyer can be confident that the selection was correct. If not, it might be time to go back to the drawing board.

### What Does Relational Databases Cost?

There are a couple of robust relational databases that are available for free in the market. There are typically two pricing models, one where users pay only for what they use, and in the other one, users pay a one-time license fee. 

### Relational Databases Trends

**Databases and data aggregation**

The debate continues on the use of relational databases solutions versus NoSQL databases as the better business solution, as data aggregation continues to rise in the business world. Data-driven products and services require immense data backing now, and the debate is on the best way to store that data. In reality, the two database types should be used together. While relational databases excel in structured data storage, NoSQL databases—non-relational databases—shine when there’s no real structure to how data should be collected and stored. Both relational and non-relational databases can scale quite easily, given the right software supporting them. This shouldn’t be a debate, but a collaboration. Thus, bridging the gap between SQL/NoSQL to let them work together.

**Big data**

Data has become the backbone of conducting business in the information age. As data drives business decisions and trends, the data must be digestible, easy to follow, and easy to reference. That’s why big data software mostly falls back on relational database solutions. Designed with strict organization, referencing, and referral in mind, relational databases can absorb and store massive amounts of data to be later digested in the decision-making process.