# Best Database Management Systems (DBMS)

## How Many Database Management Systems (DBMS) Products Does G2 Track?

**Total Products under this Category:** 255

### Category Stats (Aug 2026)

- **Average Rating:** 4.29/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** ScaleGrid (+1.86%) - Among all products in this category, ScaleGrid recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank Database Management Systems (DBMS) Products?

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

- 30 Analysts and Data Experts
- 9,900+ Authentic Reviews
- 255+ 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 Database Management Systems (DBMS)
 ![G2 Grid® for Database Management Systems (DBMS) plotting products by satisfaction and market presence](https://www.g2.com/categories/database-management-systems-dbms/grids.png?focus%5B%5D=630&focus%5B%5D=10938&focus%5B%5D=1251&focus%5B%5D=40540&focus%5B%5D=135981&focus%5B%5D=40859&focus%5B%5D=1327283&focus%5B%5D=2503)

Highlighted products: Microsoft SQL Server, Snowflake, SAP HANA Cloud, Google Cloud SQL, Supabase, Amazon Athena, SAS Viya, and SQL Developer.

Underlying data: [Grid® JSON](https://www.g2.com/categories/database-management-systems-dbms/grids.json?focus%5B%5D=microsoft-sql-server&focus%5B%5D=snowflake&focus%5B%5D=sap-hana-cloud-2025-10-01&focus%5B%5D=google-cloud-sql&focus%5B%5D=supabase-supabase&focus%5B%5D=amazon-athena&focus%5B%5D=sas-sas-viya&focus%5B%5D=sql-developer)

**Sponsored**

### Google Cloud SQL

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.

[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=303&secure%5Bchosen_at%5D=2026-08-01T13%3A16%3A10Z&secure%5Bdisplayable_resource_id%5D=303&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=303&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=40540&secure%5Bresource_id%5D=303&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdatabase-management-systems-dbms%3Fopen_modal_url%3D%252Fproducts%252Fca-database-management-for-db2-for-z-os%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fdatabase-management-systems-dbms%2526source%253Dcategory&secure%5Btoken%5D=0b2139f966f64425e920a414d01a5e4e274323c5b42e129ed4100dd8d977c26e&secure%5Burl%5D=https%3A%2F%2Fcloud.google.com%2Fsql%3Futm_source%3DG2%26utm_medium%3Ddisplay%26utm_campaign%3DCloud-SS-DR-GCP-1713658-GCP-DR-NA-US-en-G2-Display-Banner-All-%2525epid%21-%2525ecid%21-sql%26utm_content%3D%257Bdevice%257D-%257Badgroupid%257D-%257Bnetwork%257D-%257Btargetid%257D-%257Bloc_physical_ms%257D-%257Bcampaignid%257D&secure%5Burl_type%5D=custom_url)

### [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:** 2,127

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

- **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.8/10)
- **Data dictionary:** 8.9/10 (Category avg: 8.5/10)
- **Backup and Recovery:** 9.0/10 (Category avg: 8.5/10)
- **Data Migration:** 8.9/10 (Category avg: 8.4/10)

#### 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

### [Snowflake](https://www.g2.com/pt/products/snowflake/reviews)

A Snowflake permite que todas as organizações mobilizem seus dados com o AI Data Cloud da Snowflake. Os clientes usam o AI Data Cloud para unir dados isolados, descobrir e compartilhar dados com segurança, alimentar aplicativos de dados e executar diversas cargas de trabalho de IA/ML e analíticas. Onde quer que os dados ou usuários estejam, a Snowflake oferece uma experiência de dados única que abrange várias nuvens e geografias. Milhares de clientes em muitos setores, incluindo 691 dos 2000 maiores do mundo segundo a Forbes em 2023 (G2K) até 31 de janeiro, usam o AI Data Cloud da Snowflake para impulsionar seus negócios.

**Average Rating:** 4.5/5.0

**Total Reviews:** 711

#### How Do G2 Users Rate Snowflake?

- **the product tem sido um bom parceiro comercial?:** 9.0/10 (Category avg: 8.8/10)
- **Dicionário de dados:** 9.0/10 (Category avg: 8.5/10)
- **Backup e recuperação:** 9.0/10 (Category avg: 8.5/10)
- **Migração de dados:** 9.3/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Snowflake?

- **Vendedor:** [Snowflake, Inc.](https://www.g2.com/pt/sellers/snowflake-inc)
- **Website da Empresa:** www.snowflake.com
- **Ano de Fundação:** 2012
- **Localização da Sede:** 135 Constitution Drive, Menlo Park CA
- **Twitter:** @SnowflakeDB  
278 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ad18ff73a9b8bb34dd1b98a6ba1c6be57f7364939ad352612ecc483aba05d2b2&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsnowflake-computing%2F&secure%5Burl_type%5D=linkedin_company_website)  
11,308 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Engenheiro de Dados, Analista de Dados
- **Top Industries:** Tecnologia da Informação e Serviços, Software de Computador
- **Company Size:** 45% Medium, 43% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários apreciam a **facilidade de uso** do Snowflake, achando-o rápido e eficaz para compartilhamento de dados e análises.
- Os usuários valorizam os **recursos confiáveis** do Snowflake, apreciando sua interface intuitiva e integração de dados perfeita para análises.
- Os usuários acham as **capacidades de gerenciamento de dados** do Snowflake excelentes para agregar e consultar eficientemente em vários conjuntos de dados.
- Os usuários admiram a **escalabilidade perfeita** do Snowflake, acomodando sem esforço as demandas de trabalho e garantindo desempenho ideal.
- Os usuários apreciam a **rápida análise de dados** do Snowflake, permitindo insights rápidos sem preocupações com infraestrutura.

##### Cons

- Os usuários acham os **altos custos** do Snowflake onerosos, especialmente para pequenas empresas com orçamentos limitados.
- Os usuários encontram **limitações de recursos** no Snowflake, como a falta de blocos de código e desafios na gestão de permissões.
- Os usuários descobrem que o **gerenciamento de custos** requer disciplina, pois cobranças inesperadas podem se acumular rapidamente sem monitoramento cuidadoso.
- Os usuários acham a **estrutura de custos difícil de otimizar** , levando a despesas iniciais inesperadamente altas durante a implementação.
- Os usuários acham que os **recursos limitados** do Snowflake em scripts dinâmicos e monitoramento prejudicam a flexibilidade e a usabilidade.

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

**["Escalonamento Elástico e Análises Rápidas com Snowflake"](https://www.g2.com/pt/survey_responses/snowflake-review-13129003)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/pt/survey_responses/snowflake-review-13129003)

**["Snowflake Simplifica o Gerenciamento de Dados em Escala"](https://www.g2.com/pt/survey_responses/snowflake-review-12898129)**

**Rating:** 4.0/5.0 stars

_— Harshil A._

[Read full review](https://www.g2.com/pt/survey_responses/snowflake-review-12898129)

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

- [What is Snowflake used for?](https://www.g2.com/pt/discussions/what-is-snowflake-used-for) - 2 comments, 1 upvote

### [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?

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.8/10)
- **Data dictionary:** 8.7/10 (Category avg: 8.5/10)
- **Backup and Recovery:** 9.0/10 (Category avg: 8.5/10)
- **Data Migration:** 8.6/10 (Category avg: 8.4/10)

#### 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)

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

Cloud SQL é um serviço de banco de dados relacional totalmente gerenciado para MySQL, PostgreSQL e SQL Server com coleções ricas de extensões, flags de configuração e ecossistemas de desenvolvedores.

**Average Rating:** 4.5/5.0

**Total Reviews:** 354

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

- **the product tem sido um bom parceiro comercial?:** 9.0/10 (Category avg: 8.8/10)
- **Dicionário de dados:** 8.8/10 (Category avg: 8.5/10)
- **Backup e recuperação:** 9.1/10 (Category avg: 8.5/10)
- **Migração de dados:** 9.0/10 (Category avg: 8.4/10)

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

- **Vendedor:** [Google](https://www.g2.com/pt/sellers/google)
- **Ano de Fundação:** 1998
- **Localização da Sede:** Mountain View, CA
- **Twitter:** @google  
31,899,995 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/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 funcionários no LinkedIn®
- **Propriedade:** NASDAQ:GOOG

#### Who Uses This Product?

- **Who Uses This:** Engenheiro de Software, Engenheiro de Dados
- **Top Industries:** Tecnologia da Informação e Serviços, Software de Computador
- **Company Size:** 41% Medium, 34% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários apreciam o **gerenciamento automatizado** do Google Cloud SQL, que economiza tempo e melhora a escalabilidade e a confiabilidade.
- Os usuários valorizam a **integração perfeita** do Google Cloud SQL com os serviços do Google Cloud, aumentando a eficiência e a escalabilidade.
- Os usuários adoram a **facilidade de uso** do Google Cloud SQL, tornando o gerenciamento de banco de dados simples e sem complicações.
- Os usuários apreciam as **integrações fáceis** do Google Cloud SQL, aumentando a eficiência e a conveniência para o gerenciamento de banco de dados baseado em nuvem.
- Os usuários elogiam a **escalabilidade** do Google Cloud SQL, apreciando sua integração perfeita e automação para uma gestão eficiente de banco de dados.

##### Cons

- Os usuários acham o Google Cloud SQL **caro** , especialmente em relação ao armazenamento, tráfego e preços para projetos menores.
- Os usuários sentem que as **preocupações com os custos** do Google Cloud SQL podem ser onerosas, especialmente para pequenas empresas e indivíduos.
- Os usuários frequentemente enfrentam **problemas de escalonamento** com o Google Cloud SQL, incluindo suporte lento e aumento de custos durante o escalonamento vertical.
- Os usuários acham a **precificação complexa** difícil de entender, tornando a previsão de custos e a otimização desafiadoras.
- Os usuários acham a **confusão de preços** no Google Cloud SQL desafiadora, desejando estimativas mais claras e melhores ferramentas de previsão.

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

**["Gerenciamento de Banco de Dados Sem Esforço com o Google Cloud SQL"](https://www.g2.com/pt/survey_responses/google-cloud-sql-review-13190312)**

**Rating:** 4.0/5.0 stars

_— Jai Y._

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

**["SQL em Nuvem Seguro, Altamente Disponível e Escalável para Cargas de Trabalho Diversas"](https://www.g2.com/pt/survey_responses/google-cloud-sql-review-12804608)**

**Rating:** 5.0/5.0 stars

_— Akshay J._

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

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

- [Para que é usado o Google Cloud SQL?](https://www.g2.com/pt/discussions/what-is-google-cloud-sql-used-for) - 2 comments
- [Quanto custa o Google Cloud SQL?](https://www.g2.com/pt/discussions/how-much-is-google-cloud-sql) - 2 comments
- [O que é o Cloud SQL?](https://www.g2.com/pt/discussions/what-is-cloud-sql) - 3 comments
- [How do I use Google cloud in SQL?](https://www.g2.com/pt/discussions/how-do-i-use-google-cloud-in-sql)
- [Quais são os recursos do Cloud SQL?](https://www.g2.com/pt/discussions/what-are-the-features-of-cloud-sql) - 1 comment, 1 upvote

## FAQs About Database Management Systems (DBMS)

Generated using AI

Last updated: June 3, 2026

### Which DBMS offers the most advanced indexing capabilities

According to verified users, advanced indexing in this category is most often described through fast query optimization, execution plan visibility, and smoother performance tuning on large structured datasets. Recent reviewers repeatedly connect strong indexing with handling high-volume transactions, improving reporting speed, and reducing bottlenecks in ETL and analytics workflows. They also mention that indexing matters most when teams need consistent performance across growing workloads and concurrent usage. In the current review set, buyers most often praise indexing alongside query analyzers, stored procedures, partitioning, and centralized administration rather than as an isolated capability, so evaluation tends to focus on overall tuning experience and operational reliability.

### Which DBMS supports the widest range of data types

According to verified users, support for different data types usually shows up in reviews as the ability to work with structured records plus formats like JSON, semi-structured data, document-style content, graph, spatial, or time-series use cases. Recent reviewers frame this less as a checklist and more as a practical question of whether a platform can unify multiple workloads without forcing teams into separate systems. They also highlight that flexible data type support matters most for integrations, analytics, and evolving application requirements. In this review set, buyers frequently mention structured data first, then call out JSON, semi-structured data, multi-model processing, and vector or relational combinations as useful differentiators for broader database needs.

### Which DBMS offers the lowest total cost of ownership

According to verified users, total cost of ownership in this category depends on more than licensing alone. Recent reviews point to infrastructure overhead, scaling efficiency, administration effort, backup and recovery management, and how many separate tools a team needs around the database. Buyers often describe lower ownership costs when a platform reduces manual tuning, simplifies deployment, automates maintenance, or consolidates analytics, storage, and governance tasks. At the same time, reviewers frequently note that premium editions, complex enterprise pricing, and resource-heavy workloads can raise costs quickly. In practice, G2 reviewers evaluate cost through the balance of performance, reliability, support burden, and operational simplicity rather than through sticker price alone.

### What are the most important features in database management systems

According to verified users, the most important features in database management systems are reliability, performance, security, scalability, and ease of administration. Recent reviews also emphasize backup and recovery, high availability, query optimization, monitoring, and support for reporting or analytics workflows. Integration is another recurring theme, especially with cloud platforms, BI tools, ETL pipelines, and application environments. Buyers repeatedly mention that the best systems make it easier to centralize data, maintain a single source of truth, and keep workloads stable as usage grows. For many teams, the most valuable feature set is the one that combines dependable day-to-day operations with enough flexibility for analytics, automation, and future expansion.

### How do teams use Database Management Systems (DBMS) for reporting

According to verified users, teams use Database Management Systems (DBMS) for reporting by centralizing structured data, running queries across large datasets, and feeding dashboards or business intelligence tools with more consistent information. Recent reviews describe reporting workflows tied closely to ETL pipelines, stored procedures, fact tables, and scheduled data transformations. Buyers also mention using database platforms to improve data accessibility, reduce duplication, and create a single source of truth for operational and strategic decisions. In many cases, reporting use includes downstream integrations with visualization tools, cloud services, and analytics environments. The strongest review themes connect reporting value to faster decision-making, smoother daily operations, and more reliable access to current business data.

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

O Supabase é uma plataforma de backend como serviço (BaaS) de código aberto que permite aos desenvolvedores construir e escalar aplicações de forma eficiente sem gerenciar a infraestrutura de servidores. Lançado em 2020 como uma alternativa ao Firebase, o Supabase oferece um conjunto de ferramentas, incluindo um banco de dados PostgreSQL, autenticação, assinaturas em tempo real e capacidades de armazenamento. Ao aproveitar a robustez do PostgreSQL, o Supabase fornece uma base escalável e segura para aplicações web e móveis modernas. Principais Características e Funcionalidades: - Banco de Dados PostgreSQL: Cada projeto Supabase inclui um banco de dados PostgreSQL dedicado, oferecendo suporte completo a SQL e recursos avançados como manipulação de JSON, busca de texto completo e suporte a vetores. - APIs Instantâneas: O Supabase gera automaticamente APIs RESTful e GraphQL com base no seu esquema de banco de dados, eliminando a necessidade de codificação manual e acelerando o desenvolvimento. - Autenticação e Autorização: A plataforma fornece autenticação de usuário integrada com suporte para vários métodos de login, incluindo email/senha, links mágicos e logins sociais. Também se integra perfeitamente com a Segurança de Nível de Linha do PostgreSQL para controle de acesso detalhado. - Capacidades em Tempo Real: O Supabase permite a sincronização de dados em tempo real via WebSockets, permitindo que as aplicações respondam instantaneamente às mudanças no banco de dados. - Funções de Borda: Os desenvolvedores podem implantar funções serverless próximas aos usuários para execução de baixa latência, facilitando a lógica de backend escalável e eficiente. - Armazenamento de Arquivos: O Supabase oferece soluções de armazenamento escaláveis para gerenciar e servir arquivos, completas com políticas de acesso configuráveis para garantir a segurança dos dados. Valor Principal e Soluções para Usuários: O Supabase aborda os desafios que os desenvolvedores enfrentam ao construir e escalar aplicações, fornecendo uma plataforma de backend abrangente e de código aberto. Ele elimina as complexidades de gerenciar a infraestrutura de servidores, permitindo que os desenvolvedores se concentrem na criação de aplicações ricas em funcionalidades. Com suas capacidades em tempo real, autenticação robusta e integração perfeita com o PostgreSQL, o Supabase capacita os desenvolvedores a construir aplicações seguras, escaláveis e responsivas de forma eficiente.

**Average Rating:** 4.6/5.0

**Total Reviews:** 126

#### How Do G2 Users Rate Supabase?

- **the product tem sido um bom parceiro comercial?:** 9.3/10 (Category avg: 8.8/10)
- **Dicionário de dados:** 8.7/10 (Category avg: 8.5/10)
- **Backup e recuperação:** 9.1/10 (Category avg: 8.5/10)
- **Migração de dados:** 9.4/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Supabase?

- **Vendedor:** [Supabase](https://www.g2.com/pt/sellers/supabase)
- **Ano de Fundação:** 2020
- **Localização da Sede:** Global, US
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/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 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Fundador, Engenheiro de Software
- **Top Industries:** Software de Computador, Tecnologia da Informação e Serviços
- **Company Size:** 72% Small, 22% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários apreciam a **facilidade de uso** do Supabase, destacando sua configuração simples e experiência de backend amigável.
- Os usuários apreciam o **design poderoso e a API intuitiva** do Supabase, tornando o desenvolvimento fácil e agradável.
- Os usuários acham o Supabase **fácil de usar** , apreciando sua simplicidade, ótima interface e integração perfeita com ferramentas.
- Os usuários acham que as **integrações fáceis** com o Supabase melhoram sua experiência de desenvolvimento e simplificam a configuração de projetos sem esforço.
- Os usuários apreciam as **integrações perfeitas** do Supabase, tornando fácil a conexão com várias ferramentas de desenvolvimento de forma suave.

##### Cons

- Os usuários acham que o Supabase tem **falta de amigabilidade para iniciantes** , pois sua complexidade e suporte limitado dificultam a experiência de codificadores novatos.
- Os usuários acham o **preço alto** , especialmente para serviços premium que deveriam ser acessíveis a todos os usuários.
- Os usuários acham a **alta complexidade** do Supabase desafiadora, especialmente para programadores novatos que buscam ferramentas fáceis de usar.
- Os usuários sentem que o Supabase carece de **orientação insuficiente** , especialmente para programadores novatos que precisam de melhor documentação e facilidade de uso.
- Os usuários encontram **dificuldade de aprendizado** com o Supabase, especialmente os novatos que lutam com ferramentas complexas e suporte comunitário limitado.

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

**["Supabase tornou a construção de um backend completo rápida—Ótimo ROI e autenticação integrada"](https://www.g2.com/pt/survey_responses/supabase-review-13191650)**

**Rating:** 4.0/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/pt/survey_responses/supabase-review-13191650)

**["Supabase Torna o Desenvolvimento de Backend Rápido e Simples"](https://www.g2.com/pt/survey_responses/supabase-review-13181062)**

**Rating:** 4.5/5.0 stars

_— Jeni J._

[Read full review](https://www.g2.com/pt/survey_responses/supabase-review-13181062)

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

Amazon Athena is a serverless, interactive query service that enables users to analyze large datasets directly in Amazon S3 using standard SQL. With no infrastructure to manage, Athena allows for quick, ad-hoc querying without the need for complex ETL processes. It automatically scales to execute queries in parallel, delivering fast results even for complex queries and large datasets. Key Features and Functionality: - Serverless Architecture: Athena requires no server management, automatically handling infrastructure scaling and maintenance. - Standard SQL Support: Users can run ANSI SQL queries, facilitating easy data analysis without learning new languages. - Broad Data Format Compatibility: Supports various data formats, including CSV, JSON, ORC, Avro, and Parquet, allowing flexibility in data storage and analysis. - Integration with AWS Glue: Seamlessly integrates with AWS Glue Data Catalog for metadata management, enabling schema discovery and versioning. - Security and Compliance: Provides robust security features, including data encryption at rest and in transit, and integrates with AWS Identity and Access Management (IAM) for fine-grained access control. Primary Value and User Solutions: Amazon Athena simplifies the process of analyzing vast amounts of data stored in Amazon S3 by eliminating the need for complex infrastructure setup and management. Its serverless nature and support for standard SQL make it accessible to users with varying levels of technical expertise. By enabling quick, cost-effective querying of large datasets, Athena addresses challenges related to data analysis speed, scalability, and operational overhead, empowering organizations to derive insights efficiently.

**Average Rating:** 4.4/5.0

**Total Reviews:** 162

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

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.8/10)
- **Data dictionary:** 8.0/10 (Category avg: 8.5/10)
- **Backup and Recovery:** 8.3/10 (Category avg: 8.5/10)
- **Data Migration:** 8.0/10 (Category avg: 8.4/10)

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

- **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:** Data Engineer, Senior Data Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 51% Large, 27% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find **Amazon Athena's analytics capabilities** effective for analyzing data stored in S3 efficiently.
- Users find Amazon Athena to be a **great solution for analyzing data stored in S3** efficiently and effectively.
- Users find Athena ideal for **running data analysis** on S3 storage efficiently and effectively.
- Users find Amazon Athena to be **very easy to use** , thanks to its user-friendly interface and versatile querying capabilities.
- Users appreciate the **user-friendly interface** of Amazon Athena, making it accessible for both tech and non-tech individuals.

##### Cons

- Users experience **function limitations** with Amazon Athena, finding it unhelpful for querying and updating data.
- Users struggle with **limited SQL capabilities** in Amazon Athena, hindering their ability to efficiently query and update data.
- Users experience **poor usability** , finding it unhelpful when querying data and making updates in Amazon Athena.

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

**["Athena Makes S3 Data Validation Fast and Infrastructure-Free"](https://www.g2.com/survey_responses/amazon-athena-review-12876937)**

**Rating:** 5.0/5.0 stars

_— mani s._

[Read full review](https://www.g2.com/survey_responses/amazon-athena-review-12876937)

**["Simple, Scalable and Cost-Effective Analytics with Amazon Athena"](https://www.g2.com/survey_responses/amazon-athena-review-12380769)**

**Rating:** 5.0/5.0 stars

_— Pradip G._

[Read full review](https://www.g2.com/survey_responses/amazon-athena-review-12380769)

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

- [What is Amazon Athena used for?](https://www.g2.com/discussions/what-is-amazon-athena-used-for)
- [Is AWS Athena free?](https://www.g2.com/discussions/is-aws-athena-free) - 1 comment
- [How do I use AWS Athena?](https://www.g2.com/discussions/how-do-i-use-aws-athena) - 1 comment
- [What is AWS Athena based on?](https://www.g2.com/discussions/what-is-aws-athena-based-on)
- [What is the use of Amazon Athena?](https://www.g2.com/discussions/what-is-the-use-of-amazon-athena)

### [SAS Viya](https://www.g2.com/pt/products/sas-sas-viya/reviews)

O SAS Viya é uma plataforma de dados e IA nativa da nuvem que permite às equipes construir, implantar e escalar IA explicável que impulsiona decisões confiáveis e seguras. Ele une todo o ciclo de vida de dados e IA e capacita as equipes a inovar rapidamente, equilibrando velocidade, automação e governança por design. O Viya unifica gestão de dados, análises avançadas e tomada de decisão em uma única plataforma, para que as organizações possam passar da experimentação para a produção com confiança, entregando impacto comercial mensurável que é seguro, explicável e escalável em qualquer ambiente. As principais capacidades necessárias para entregar decisões confiáveis incluem: • Clareza de ponta a ponta em todo o ciclo de vida de dados e IA, com linhagem embutida, auditabilidade e monitoramento contínuo para apoiar decisões defensáveis. • Governança por design, permitindo supervisão consistente em dados, modelos e decisões para reduzir riscos e acelerar a adoção. • IA explicável em escala, para que insights e resultados possam ser compreendidos, validados e confiáveis tanto por empresas quanto por reguladores. • Análises operacionalizadas, garantindo que o valor continue além da implantação através de monitoramento, re-treinamento e gestão do ciclo de vida. • Implantação flexível e nativa da nuvem, permitindo que as organizações comecem em qualquer lugar e escalem em todos os lugares enquanto mantêm o controle.

**Average Rating:** 4.3/5.0

**Total Reviews:** 774

#### How Do G2 Users Rate SAS Viya?

- **the product tem sido um bom parceiro comercial?:** 8.2/10 (Category avg: 8.8/10)
- **Dicionário de dados:** 8.8/10 (Category avg: 8.5/10)
- **Backup e recuperação:** 8.9/10 (Category avg: 8.5/10)
- **Migração de dados:** 8.6/10 (Category avg: 8.4/10)

#### Who Is the Company Behind SAS Viya?

- **Vendedor:** [SAS Institute Inc.](https://www.g2.com/pt/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Website da Empresa:** www.sas.com
- **Ano de Fundação:** 1976
- **Localização da Sede:** Cary, NC
- **Twitter:** @SASsoftware  
60,863 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Estudante, Bioestatístico
- **Top Industries:** Farmacêuticos, Bancário
- **Company Size:** 33% Large, 33% Small

#### What Do G2 Reviewers Say About SAS Viya?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários valorizam a **facilidade de uso** do SAS Viya, que simplifica a visualização de dados e melhora a eficiência na tomada de decisões.
- Os usuários valorizam as **capacidades analíticas sofisticadas** do SAS Viya, permitindo fácil implantação e tomada de decisões em tempo real.
- Os usuários apreciam os **métodos analíticos avançados** oferecidos pelo SAS Viya, aprimorando as capacidades de tomada de decisão e análise de dados logísticos.
- Os usuários valorizam as **ferramentas de ciclo de vida de dados de ponta a ponta** do SAS Viya, aprimorando a percepção de negócios e a tomada de decisões estratégicas.
- Os usuários adoram a **interface intuitiva** do SAS Viya, tornando a análise de dados e a implantação de modelos sem esforço para todos os níveis de habilidade.

##### Cons

- Os usuários acham que o SAS Viya tem uma **dificuldade de aprendizado** , tornando desafiador para indivíduos não técnicos navegarem de forma eficaz.
- Os usuários acham a **curva de aprendizado íngreme** , tornando desafiador para usuários não técnicos navegarem no SAS Viya de forma eficaz.
- Os usuários acham a **complexidade da visualização** no SAS Viya desafiadora, especialmente para usuários não técnicos e iniciantes.
- Os usuários enfrentam dificuldades com a **curva de aprendizado difícil** do SAS Viya, especialmente para usuários novos e não técnicos.
- Os usuários consideram o **preço elevado** do SAS Viya uma barreira significativa para a adoção potencial.

#### What Are Recent G2 Reviews of SAS Viya?

**["Análise de Dados Eficaz com SAS Viya"](https://www.g2.com/pt/survey_responses/sas-viya-review-11872818)**

**Rating:** 4.5/5.0 stars

_— Fungai J._

[Read full review](https://www.g2.com/pt/survey_responses/sas-viya-review-11872818)

**["SAS Viya: Poderosa IA e Análise de Dados com Integrações Sem Costura"](https://www.g2.com/pt/survey_responses/sas-viya-review-11855145)**

**Rating:** 5.0/5.0 stars

_— Usuário Verificado em Hospital e Cuidados de Saúde_

[Read full review](https://www.g2.com/pt/survey_responses/sas-viya-review-11855145)

#### What Are G2 Users Discussing About SAS Viya?

- [Para que é usado o SAS Visual Data Mining and Machine Learning?](https://www.g2.com/pt/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 2 comments

### [SQL Developer](https://www.g2.com/products/sql-developer/reviews)

Oracle SQL Developer is a free, integrated development environment (IDE) designed to simplify the development and management of Oracle Databases across both traditional and cloud deployments. It provides a comprehensive suite of tools for PL/SQL application development, database administration, data modeling, and migration from third-party databases to Oracle. With over 5 million users, SQL Developer enhances productivity by offering a user-friendly interface for tasks ranging from running queries and scripts to debugging and testing PL/SQL code. Key Features and Functionality: - PL/SQL IDE: A full-featured environment for writing, compiling, debugging, and testing PL/SQL applications. - Database Administration: Tools for managing database performance, security, storage, and configurations. - Data Modeling: Capabilities to create Entity Relationship Diagrams (ERDs), generate reports, and perform SQL and DDL scripting. - Migration Platform: Facilitates the migration of databases from platforms like Microsoft SQL Server, Sybase Adaptive Server, IBM DB2, MySQL, Microsoft Access, and Teradata to Oracle. - Multiple Interfaces: Offers desktop, browser-based (Database Actions), and command-line (SQLcl) interfaces to cater to diverse user preferences. Primary Value and User Solutions: Oracle SQL Developer addresses the complexities associated with database development and management by providing an all-encompassing toolset that streamlines workflows. It eliminates the need for multiple disparate tools by integrating essential functionalities into a single platform, thereby reducing development time and operational costs. Its support for various interfaces ensures flexibility, allowing users to choose the environment that best fits their needs. Additionally, the migration capabilities simplify the transition from other database systems to Oracle, facilitating a smoother integration process.

**Average Rating:** 4.3/5.0

**Total Reviews:** 246

#### How Do G2 Users Rate SQL Developer?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.8/10)
- **Data dictionary:** 9.0/10 (Category avg: 8.5/10)
- **Backup and Recovery:** 8.4/10 (Category avg: 8.5/10)
- **Data Migration:** 8.7/10 (Category avg: 8.4/10)

#### Who Is the Company Behind SQL Developer?

- **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:** 47% Large, 39% Medium

#### What Do G2 Reviewers Say About SQL Developer?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **efficiency in handling database tasks** with SQL Developer, streamlining their workflow and reducing errors.
- Users find SQL Developer **intuitive and easy to navigate** , making complex database tasks feel simple and manageable.
- Users value the **analytics capabilities** of SQL Developer for providing clear insights and detecting fraud in data analysis.
- Users find it easy to handle **big data analysis** in SQL Developer, enabling effective risk and fraud detection.
- Users value the **thorough documentation** in SQL Developer, which aids in understanding and resolving issues effectively.

##### Cons

- Users experience **slow performance** with large queries or databases, leading to laggy interactions and a heavy system load.
- Users face significant **connection issues** that lead to prolonged wait times despite efficient query execution.
- Users find the **difficult learning** curve of SQL Developer impacts their ability to efficiently debug and test complex queries.
- Users find **function limitations** in SQL Developer, struggling with complex queries and inadequate support for advanced features.
- Users find SQL Developer can be **slow with big databases** , which may impact performance and user experience.

#### What Are Recent G2 Reviews of SQL Developer?

**["SQL Developer Makes Large Schema Queries Simple"](https://www.g2.com/survey_responses/sql-developer-review-12738695)**

**Rating:** 4.0/5.0 stars

_— Verified User in Non-Profit Organization Management_

[Read full review](https://www.g2.com/survey_responses/sql-developer-review-12738695)

**["Oracle SQL Developer: A Go-To Tool for Direct Database Work"](https://www.g2.com/survey_responses/sql-developer-review-13077102)**

**Rating:** 4.5/5.0 stars

_— Verified User in Information Technology and Services_

[Read full review](https://www.g2.com/survey_responses/sql-developer-review-13077102)

#### What Are G2 Users Discussing About SQL Developer?

- [What is SQL Developer used for?](https://www.g2.com/discussions/what-is-sql-developer-used-for) - 1 comment
- [What should a SQL developer know?](https://www.g2.com/discussions/what-should-a-sql-developer-know)
- [What are the advanced features of SQL?](https://www.g2.com/discussions/what-are-the-advanced-features-of-sql)
- [Is SQL Developer free?](https://www.g2.com/discussions/is-sql-developer-free)
- [What is the use of SQL Developer?](https://www.g2.com/discussions/what-is-the-use-of-sql-developer) - 1 comment

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

TiDB é uma solução avançada de banco de dados SQL distribuído e de código aberto, projetada para ajudar empresas intensivas em dados a gerenciar e escalar suas operações de dados de forma contínua. Desenvolvido pela PingCAP, o TiDB combina a escalabilidade dos bancos de dados NoSQL com a funcionalidade completa dos sistemas tradicionais de gerenciamento de banco de dados relacional (RDBMS). Esta arquitetura única permite que as organizações construam clusters em escala de petabytes enquanto lidam eficientemente com milhões de tabelas, inúmeras conexões simultâneas e mudanças frequentes de esquema sem experimentar tempo de inatividade. O público-alvo do TiDB inclui grandes empresas, provedores de software como serviço (SaaS) e empresas nativas digitais que necessitam de capacidades robustas de gerenciamento de dados. Essas organizações frequentemente enfrentam desafios relacionados à escalabilidade de dados, complexidade operacional e necessidade de alta disponibilidade. O TiDB aborda esses desafios oferecendo uma solução que suporta uma ampla gama de cargas de trabalho, incluindo tarefas transacionais, analíticas, operacionais e de inteligência artificial (IA). Sua arquitetura multi-inquilino melhora ainda mais a agilidade operacional, permitindo que as empresas se adaptem rapidamente às demandas em mudança. Os principais recursos do TiDB incluem escalabilidade contínua, que permite que as organizações expandam sua infraestrutura de banco de dados sem esforço à medida que suas necessidades de dados crescem. A compatibilidade com MySQL da plataforma garante que os desenvolvedores possam integrar facilmente o TiDB em fluxos de trabalho existentes e aproveitar ferramentas e plataformas familiares. Além disso, o TiDB suporta operações online de DDL (Linguagem de Definição de Dados), permitindo mudanças de esquema sem preocupações que não interrompem os processos em andamento. Essa flexibilidade operacional é crítica para empresas que exigem tempo de atividade constante e confiabilidade. O TiDB também prioriza a segurança e disponibilidade de dados, ostentando conformidade ACID (Atomicidade, Consistência, Isolamento, Durabilidade) embutida e uma notável taxa de disponibilidade de 99,99%. O banco de dados adere a vários padrões regulatórios, incluindo GDPR, SOC, HIPAA e PCI, garantindo que as organizações possam confiar em suas práticas de gerenciamento de dados. Empresas notáveis como Databricks, Pinterest e Plaid adotaram o TiDB, permitindo que se concentrem no crescimento e inovação em vez das complexidades do gerenciamento de infraestrutura de dados. Com suas inovações impulsionadas por IA e capacidades multi-nuvem, o TiDB se destaca como uma solução poderosa para empresas que buscam aprimorar suas estratégias de gerenciamento de dados. Ao fornecer agilidade, resiliência e segurança incomparáveis, o TiDB capacita as organizações a desbloquear todo o seu potencial em um mundo cada vez mais orientado por dados.

**Average Rating:** 4.6/5.0

**Total Reviews:** 67

#### How Do G2 Users Rate TiDB?

- **the product tem sido um bom parceiro comercial?:** 9.2/10 (Category avg: 8.8/10)
- **Dicionário de dados:** 8.5/10 (Category avg: 8.5/10)
- **Backup e recuperação:** 9.0/10 (Category avg: 8.5/10)
- **Migração de dados:** 9.1/10 (Category avg: 8.4/10)

#### Who Is the Company Behind TiDB?

- **Vendedor:** [PingCAP](https://www.g2.com/pt/sellers/pingcap)
- **Website da Empresa:** tidb.io
- **Ano de Fundação:** 2015
- **Localização da Sede:** Sunnyvale 
- **Twitter:** @PingCAP  
7,268 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/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 funcionários no LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** DBA, Engenheiro de Software Sênior
- **Top Industries:** Software de Computador, Tecnologia da Informação e Serviços
- **Company Size:** 31% Large, 27% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários elogiam a **escalabilidade perfeita** do TiDB, permitindo o manuseio eficiente de dados e crescimento sem intervenção manual.
- Os usuários apreciam a **facilidade de uso** do TiDB, desfrutando de integração perfeita e implantação simples em várias plataformas.
- Os usuários apreciam a **escalabilidade horizontal e a forte consistência** do TiDB, melhorando sua experiência de gerenciamento de banco de dados.
- Os usuários valorizam a **compatibilidade com MySQL** do TiDB, facilitando a adoção suave e o escalonamento contínuo à medida que os dados crescem.
- Os usuários elogiam o TiDB por seu **desempenho excepcional** , lidando com grandes volumes de dados de forma eficiente e suportando análises em tempo real sem problemas.

##### Cons

- Os usuários acham a **curva de aprendizado íngreme** do TiDB particularmente desafiadora ao se adaptarem à sua arquitetura distribuída e ajuste de desempenho.
- Os usuários relatam **problemas de desempenho** com o TiDB, particularmente no TiFlash e nos requisitos gerais de recursos, afetando sua experiência de desenvolvimento.
- Os usuários experimentam **desempenho lento** com o TiDB, especialmente em ambientes menores, impactando a eficiência geral e a utilização de recursos.
- Os usuários enfrentam uma **curva de aprendizado difícil** com a arquitetura distribuída do TiDB, especialmente em relação ao ajuste de desempenho e compatibilidade.
- Os usuários acham que a **documentação fraca** do TiDB complica o entendimento de configurações complexas e a otimização de recursos, especialmente para iniciantes.

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

**["TiDB oferece escala NoSQL com simplicidade SQL e compatibilidade com MySQL"](https://www.g2.com/pt/survey_responses/tidb-review-12342698)**

**Rating:** 5.0/5.0 stars

_— yugesh K._

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

**["Integração perfeita, confiável e escalável"](https://www.g2.com/pt/survey_responses/tidb-review-12354194)**

**Rating:** 4.5/5.0 stars

_— Abhishek ._

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

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

A Teradata Autonomous Knowledge Platform ativa a inteligência empresarial unificando dados, conhecimento e contexto de negócios para alcançar resultados tangíveis. Com a Teradata, as organizações podem fornecer aos agentes o contexto completo para impacto quando importa. Nossa solução permite que as empresas se conectem e escalem no local, na nuvem ou através de uma abordagem híbrida. A Teradata oferece valor real de negócios com IA. Saiba mais em Teradata.com.

**Average Rating:** 4.3/5.0

**Total Reviews:** 356

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

- **the product tem sido um bom parceiro comercial?:** 8.2/10 (Category avg: 8.8/10)
- **Dicionário de dados:** 7.9/10 (Category avg: 8.5/10)
- **Backup e recuperação:** 7.9/10 (Category avg: 8.5/10)
- **Migração de dados:** 8.6/10 (Category avg: 8.4/10)

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

- **Vendedor:** [Teradata Autonomous Knowledge Platform](https://www.g2.com/pt/sellers/teradata-autonomous-knowledge-platform)
- **Ano de Fundação:** 1979
- **Localização da Sede:** San Diego, CA
- **Twitter:** @Teradata  
93,113 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/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)  
9,901 funcionários no LinkedIn®
- **Propriedade:** NYSE:TDC

#### Who Uses This Product?

- **Who Uses This:** Engenheiro de Dados, Engenheiro de Software
- **Top Industries:** Tecnologia da Informação e Serviços, Serviços Financeiros
- **Company Size:** 69% Large, 22% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários destacam o **desempenho extremo** da Plataforma de Conhecimento Autônoma da Teradata, especialmente para processar grandes volumes de dados de forma eficiente.
- Os usuários valorizam a **execução de consultas de alto desempenho** no Teradata, melhorando significativamente suas capacidades de análise de negócios.
- Os usuários valorizam a **escalabilidade** da Plataforma de Conhecimento Autônoma da Teradata, melhorando significativamente a integração de dados e a eficiência operacional.
- Os usuários elogiam o **alto desempenho e velocidade** do Teradata, processando eficientemente grandes conjuntos de dados sem problemas.
- Os usuários valorizam o **processamento rápido de grandes conjuntos de dados** com o Teradata, elogiando seu desempenho e estabilidade durante as operações.

##### Cons

- Os usuários acham a **curva de aprendizado íngreme** da Plataforma de Conhecimento Autônoma da Teradata desafiadora, impactando temporariamente a adoção e a produtividade.
- Os usuários acham a **curva de aprendizado íngreme** da Plataforma de Conhecimento Autônoma da Teradata desafiadora, especialmente para aqueles que não possuem expertise técnica.
- Os usuários acham a **complexidade** da plataforma da Teradata desafiadora, especialmente para usuários não técnicos e novos adotantes.
- Os usuários expressam preocupações sobre os **requisitos de gestão de custos** necessários para evitar possíveis usos indevidos e problemas de desempenho.
- Os usuários sentem que o **alto custo** da Teradata Autonomous Knowledge Platform é uma desvantagem significativa que afeta a acessibilidade.

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

**["Desempenho Rápido de Consulta do Teradata Vantage e Análises Poderosas para Big Data"](https://www.g2.com/pt/survey_responses/teradata-autonomous-knowledge-platform-review-12821668)**

**Rating:** 5.0/5.0 stars

_— Muzammil M._

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

**["Teradata Vantage se destaca no processamento de Big Data e análises avançadas"](https://www.g2.com/pt/survey_responses/teradata-autonomous-knowledge-platform-review-12739181)**

**Rating:** 4.5/5.0 stars

_— Nijat I._

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

### [DbVisualizer](https://www.g2.com/pt/products/dbvisualizer/reviews)

DbVisualizer é um cliente de banco de dados universal e uma ferramenta SQL para qualquer pessoa que trabalha com dados, incluindo desenvolvedores, analistas, DBAs e engenheiros de dados. De desenvolvedores independentes e startups a equipes profissionais que gerenciam ambientes complexos e multi-banco de dados, o DbVisualizer se adapta à forma como você trabalha. Ele fornece uma interface gráfica e um editor SQL poderoso para bancos de dados relacionais e NoSQL. Faça perguntas, explique erros e analise código com o Assistente de IA integrado, e use a integração com Git embutida para gerenciar scripts SQL e colaborar com sua equipe. Conecte-se a múltiplos bancos de dados, navegue por estruturas, gerencie objetos como tabelas e índices, e analise dados através da execução de consultas e visualização de resultados, tudo a partir de um único espaço de trabalho consistente. Seja escrevendo sua primeira consulta ou otimizando SQL complexo em dezenas de conexões, o DbVisualizer suporta toda a gama de tarefas de desenvolvimento e administração de banco de dados: escrever e otimizar consultas, inspecionar esquemas, editar dados de tabelas e solucionar problemas. Ele se conecta a muitos bancos de dados amplamente usados e roda no Windows, macOS e Linux. Com quase 7 milhões de downloads e usuários Pro em mais de 150 países, o DbVisualizer é confiado por indivíduos, startups e grandes organizações em todo o mundo como seu cliente de banco de dados diário. Conectividade multi-banco de dados Conecte-se ao MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, BigQuery e mais de 35 dos bancos de dados mais populares. Ele também se conecta a praticamente qualquer banco de dados compatível com JDBC através do gerenciador de driver JDBC embutido. Ferramentas de desenvolvimento SQL Escreva, edite, formate e execute consultas com um editor SQL avançado que apresenta auto-completação, histórico de consultas, construção visual de consultas e gerenciamento de conjuntos de resultados. Exploração e gerenciamento de banco de dados Visualize esquemas, navegue por tabelas e visualizações, inspecione índices e restrições, e edite dados de tabelas através de uma interface gráfica intuitiva. Fluxos de trabalho SQL assistidos por IA Um Assistente de IA integrado ajuda a gerar consultas, explicar objetos de banco de dados, interpretar resultados e solucionar erros SQL, tornando os bancos de dados mais acessíveis para iniciantes e mais produtivos para especialistas. Integração com controle de versão Git O suporte embutido ao Git permite que você gerencie scripts SQL com clonagem de repositório, ramificação, rastreamento de mudanças e fluxos de trabalho de colaboração diretamente dentro do aplicativo. Suporte multiplataforma O DbVisualizer roda no Windows, macOS e Linux e suporta bancos de dados baseados em nuvem e locais. O DbVisualizer está disponível nas edições Free e Pro. A edição Pro usa um modelo de licença perpétua, permitindo que os usuários mantenham acesso às versões lançadas durante o período de licença, com renovações opcionais para atualizações contínuas e novos lançamentos.

**Average Rating:** 4.7/5.0

**Total Reviews:** 263

#### How Do G2 Users Rate DbVisualizer?

- **the product tem sido um bom parceiro comercial?:** 9.4/10 (Category avg: 8.8/10)
- **Dicionário de dados:** 8.6/10 (Category avg: 8.5/10)
- **Backup e recuperação:** 7.7/10 (Category avg: 8.5/10)
- **Migração de dados:** 8.0/10 (Category avg: 8.4/10)

#### Who Is the Company Behind DbVisualizer?

- **Vendedor:** [DbVis Software AB](https://www.g2.com/pt/sellers/dbvis-software-ab)
- **Website da Empresa:** www.dbvis.com
- **Ano de Fundação:** 2003
- **Localização da Sede:** Stockholm
- **Twitter:** @dbvisualizer  
343 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0e6f15fbcd3e10111d12e1baa4f8568aca92c651eb33d4078a2f0be4b4954850&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2337346%2F&secure%5Burl_type%5D=linkedin_company_website)  
23 funcionários no LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Tecnologia da Informação e Serviços, Software de Computador
- **Company Size:** 45% Small, 29% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários apreciam a **facilidade de uso** no DbVisualizer, destacando configurações simples e recursos amigáveis para gerenciar bancos de dados.
- Os usuários elogiam a **facilidade de uso e o desempenho estável** do DbVisualizer, tornando o gerenciamento de banco de dados direto e eficaz.
- Os usuários adoram as **ferramentas poderosas** e a **configuração fácil** do DbVisualizer, melhorando significativamente suas interações diárias com o banco de dados.
- Os usuários consideram os **recursos robustos de exportação de dados** do DbVisualizer inestimáveis para uma gestão e integração de banco de dados eficiente.
- Os usuários valorizam as **capacidades abrangentes de gerenciamento de dados** do DbVisualizer, aumentando sua produtividade e eficiência no fluxo de trabalho.

##### Cons

- Os usuários experimentam **desempenho lento** com o DbVisualizer, especialmente com consultas grandes e em sistemas menos potentes.
- Os usuários acham os **problemas de autocompletar** frustrantes, pois eles prejudicam a produtividade e carecem de suporte essencial para procedimentos armazenados.
- Os usuários acham a **versão da licença muito cara** , especialmente os estudantes que precisam de melhor acesso sem limitações.
- Os usuários experimentam **manuseio inadequado de erros** , observando a falta de ferramentas úteis de autocompletar e suporte a consultas para solução de problemas.
- Os usuários acham que as **limitações de função** do DbVisualizer prejudicam a legibilidade e a facilidade de uso, especialmente para consultas grandes.

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

**["Poder Profissional Acessível: DbVisualizer Perfeito para Consultores de Pequenas Empresas"](https://www.g2.com/pt/survey_responses/dbvisualizer-review-12760287)**

**Rating:** 5.0/5.0 stars

_— Agnieszka S._

[Read full review](https://www.g2.com/pt/survey_responses/dbvisualizer-review-12760287)

**["Uma Ferramenta Completa e Intuitiva"](https://www.g2.com/pt/survey_responses/dbvisualizer-review-4394572)**

**Rating:** 4.5/5.0 stars

_— Yves V._

[Read full review](https://www.g2.com/pt/survey_responses/dbvisualizer-review-4394572)

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

- [Para que é usado o DbVisualizer?](https://www.g2.com/pt/discussions/dbvisualizer-what-is-dbvisualizer-used-for)
- [How does DbVisualizer connect to database?](https://www.g2.com/pt/discussions/how-does-dbvisualizer-connect-to-database) - 1 comment
- [How do I use DbVisualizer explain plan?](https://www.g2.com/pt/discussions/how-do-i-use-dbvisualizer-explain-plan)
- [O DbVisualizer é de código aberto?](https://www.g2.com/pt/discussions/is-dbvisualizer-open-source) - 1 comment
- [Para que é usado o DbVisualizer?](https://www.g2.com/pt/discussions/what-is-dbvisualizer-used-for) - 2 comments

### [Azure Data Studio](https://www.g2.com/products/azure-data-studio/reviews)

Azure Data Studio is a lightweight, cross-platform data management and development tool designed for data professionals. It offers a modern editor experience with features like IntelliSense, code snippets, source control integration, and an integrated terminal, facilitating efficient database management and development. Supporting Windows, macOS, and Linux, Azure Data Studio allows connections to various databases, including Azure SQL, SQL Server, MySQL, PostgreSQL, and Cosmos DB. Its extensibility enables users to customize their experience by installing relevant extensions tailored to their workflow. Key Features and Functionality: - Modern SQL Code Editor: Provides a keyboard-focused SQL coding experience with multiple tab windows, IntelliSense, keyword completion, code snippets, code navigation, and Git integration. - Smart SQL Code Snippets: Generates proper SQL syntax for creating databases, tables, views, stored procedures, users, logins, and roles, streamlining development tasks. - Customizable Dashboards: Allows creation of rich, customizable dashboards to monitor and troubleshoot database performance bottlenecks effectively. - Integrated Terminal: Supports command-line tools like Bash, PowerShell, sqlcmd, BCP, and ssh within the user interface, enhancing workflow efficiency. - Extensibility: Offers a range of extensions to enhance functionality, including support for various databases and tools, enabling users to tailor the environment to their specific needs. Primary Value and User Solutions: Azure Data Studio addresses the need for a versatile, cross-platform database management tool that caters to the diverse environments in which data professionals operate. By integrating advanced coding features, customizable dashboards, and support for multiple databases, it streamlines database development and management tasks. Its extensibility ensures that users can adapt the tool to their specific workflows, enhancing productivity and efficiency in handling data-related tasks.

**Average Rating:** 4.5/5.0

**Total Reviews:** 35

#### How Do G2 Users Rate Azure Data Studio?

- **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 8.8/10)
- **Data dictionary:** 8.8/10 (Category avg: 8.5/10)
- **Backup and Recovery:** 8.9/10 (Category avg: 8.5/10)
- **Data Migration:** 9.2/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Azure Data Studio?

- **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?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 43% Large, 40% Small

#### What Do G2 Reviewers Say About Azure Data Studio?

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** of Azure Data Studio, facilitating quick application of analytics skills learned in class.
- Users praise the **ease of use** of Azure Data Studio, enabling quick application of data analytics skills.

##### Cons

- Users are frustrated with Azure Data Studio's **inability to remember credentials** , leading to inconveniences during usage.

#### What Are Recent G2 Reviews of Azure Data Studio?

**["Azure Data Studio: Seamless Azure SQL Integration and a Productivity Boost"](https://www.g2.com/survey_responses/azure-data-studio-review-12730430)**

**Rating:** 4.5/5.0 stars

_— Faouzi I._

[Read full review](https://www.g2.com/survey_responses/azure-data-studio-review-12730430)

**["Good for beginners"](https://www.g2.com/survey_responses/azure-data-studio-review-10941393)**

**Rating:** 5.0/5.0 stars

_— Verified User in Furniture_

[Read full review](https://www.g2.com/survey_responses/azure-data-studio-review-10941393)

### [Mysql workbench](https://www.g2.com/products/oracle-mysql-workbench/reviews)

MySQL Workbench is a comprehensive visual tool designed for database architects, developers, and database administrators (DBAs) to facilitate the design, development, and management of MySQL databases. It integrates data modeling, SQL development, and administrative tasks into a unified environment, streamlining workflows and enhancing productivity. Available on Windows, Linux, and macOS, MySQL Workbench offers a user-friendly interface that simplifies complex database operations. Key Features and Functionality: - Visual Database Design: Enables users to create, model, generate, and manage databases visually. It supports the creation of complex Entity-Relationship (ER) models, forward and reverse engineering, and provides tools for change management and documentation. - SQL Development: Offers a robust SQL Editor with features like syntax highlighting, auto-completion, SQL code generation, and execution history, facilitating efficient query development and optimization. - Database Administration: Provides a visual console for server configuration, user administration, backup and recovery, and performance monitoring, allowing DBAs to manage MySQL environments effectively. - Performance Tuning: Includes a Performance Dashboard and reports that help identify and address performance bottlenecks, offering insights into server performance, I/O hotspots, and expensive SQL statements. - Database Migration: Supports migration from various database systems such as Microsoft SQL Server, Microsoft Access, Sybase ASE, and PostgreSQL to MySQL, simplifying the transition process. Primary Value and Problem Solving: MySQL Workbench addresses the challenges associated with database design, development, and administration by providing an integrated, visual environment that simplifies complex tasks. For database architects and developers, it streamlines the creation and management of database schemas, reducing the likelihood of errors and improving efficiency. For DBAs, it offers comprehensive tools for server management, performance tuning, and user administration, enhancing the overall health and performance of MySQL databases. By consolidating multiple functionalities into a single platform, MySQL Workbench reduces the need for disparate tools, thereby improving workflow continuity and productivity.

**Average Rating:** 4.5/5.0

**Total Reviews:** 49

#### How Do G2 Users Rate Mysql workbench?

- **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.8/10)
- **Data dictionary:** 8.9/10 (Category avg: 8.5/10)
- **Backup and Recovery:** 8.2/10 (Category avg: 8.5/10)
- **Data Migration:** 9.0/10 (Category avg: 8.4/10)

#### Who Is the Company Behind Mysql workbench?

- **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
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 37% Small, 35% Medium

#### What Do G2 Reviewers Say About Mysql workbench?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **easy database management** tools in MySQL Workbench, enhancing their understanding and implementation.
- Users find the **ease of use** in MySQL Workbench invaluable for implementing and managing databases effortlessly.
- Users value the **easy use and implementation** of Mysql Workbench, simplifying database management and SQL query writing.
- Users appreciate the **implementation ease** of MySQL Workbench, finding it straightforward for database management and query writing.
- Users appreciate the **easy learning environment** of MySQL Workbench, facilitating quick database management and SQL query writing.

##### Cons

- Users find the **missing basic features** in MySQL Workbench, such as the lack of folder creation, frustrating.

#### What Are Recent G2 Reviews of Mysql workbench?

**[""MySQL Workbench - The Go To Tool for Database Management""](https://www.g2.com/survey_responses/mysql-workbench-review-13148573)**

**Rating:** 4.0/5.0 stars

_— Sameer R._

[Read full review](https://www.g2.com/survey_responses/mysql-workbench-review-13148573)

**["Easy Data Handling with Helpful ER Diagrams, Exports, and Admin Tools"](https://www.g2.com/survey_responses/mysql-workbench-review-12711129)**

**Rating:** 4.0/5.0 stars

_— Gaurav S._

[Read full review](https://www.g2.com/survey_responses/mysql-workbench-review-12711129)

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

YugabyteDB está pronto para IA, um PostgreSQL turbinado para aplicações transacionais críticas para os negócios. 100% open source, oferece resiliência embutida, escalabilidade sob demanda e muito mais! YugabyteDB elimina as concessões que você tem com bancos de dados legados ao combinar de forma única capacidades de RDBMS de nível empresarial com a escalabilidade horizontal e resiliência de arquiteturas nativas da nuvem. YugabyteDB entrega um banco de dados lógico único que pode se estender por qualquer nuvem (privada, pública ou híbrida). Empresas líderes de mercado, incluindo Kroger, GM, Rakuten, Fiserv e Wells Fargo, confiam no YugabyteDB para aplicações transacionais críticas. Compatibilidade com PostgreSQL: YugabyteDB é mais do que apenas compatível com o protocolo de PostgreSQL, é compatível com o código. YugabyteDB alcança isso reutilizando a camada de consulta do PostgreSQL para atingir um alto grau de compatibilidade com aplicações PostgreSQL existentes ou aquelas que podem ser migradas para PostgreSQL. Os desenvolvedores podem ser imediatamente produtivos com o ecossistema de frameworks, aplicações, drivers e ferramentas compatíveis com PostgreSQL. Capacidades Avançadas de Banco de Dados Relacional: YugabyteDB oferece um conjunto abrangente de recursos avançados de RDBMS como triggers, funções, procedimentos armazenados, índices secundários fortes e transações ACID distribuídas. Isso significa que os desenvolvedores não precisam escolher entre a escalabilidade horizontal dos sistemas NoSQL e as garantias ACID dos sistemas SQL tradicionais. Resiliência e Alta Disponibilidade: Com YugabyteDB, serviços críticos permanecem disponíveis durante falhas de nó, zona, região e data center com failovers rápidos. YugabyteDB se auto-recupera replicando dados automaticamente e oferece zero tempo de inatividade em tarefas de manutenção como atualizações de software, correções de segurança e backups distribuídos. Escalabilidade Horizontal: As equipes de operações podem escalar facilmente mesmo sob carga pesada sem interrupção ou tempo de inatividade, simplesmente adicionando nós ao seu cluster YugabyteDB. O banco de dados reequilibra automaticamente a carga para usar os recursos disponíveis. A arquitetura "shared nothing" do YugabyteDB é projetada sem ponto único de falha ou gargalo. Distribuição Geográfica: YugabyteDB oferece as opções de implantação mais abrangentes e flexíveis em ambientes geo-distribuídos. Os operadores podem fazer uso de replicação de dados síncrona e assíncrona e geo-particionamento para alcançar os objetivos desejados de consistência, resiliência, desempenho e conformidade. Segurança: YugabyteDB é construído desde o início com a segurança de dados em mente. O banco de dados permite que as organizações mantenham uma postura de segurança robusta com controles embutidos como autenticação LDAP, controle de acesso baseado em funções (RBAC), criptografia de dados em repouso e em trânsito (TLS), registro de auditoria e permissões a nível de coluna. Recursos avançados como segurança a nível de linha (RLS) e criptografia a nível de coluna estão disponíveis para casos de uso mais avançados. YugabyteDB é 100% open source, então faça o download e comece a usar o conjunto completo de recursos gratuitamente. Você também pode escolher uma opção de consumo flexível de DBaaS na nuvem com base em suas necessidades: 1. YugabyteDB Aeon: Comece com um teste gratuito e aproveite um serviço DBaaS totalmente gerenciado que permite deixar o trabalho de operações e gerenciamento do dia 2 para o YugabyteDB. 2. YugabyteDB Anywhere: Implante um DBaaS autogerenciado em seu ambiente com automação embutida para implantar, escalar e monitorar clusters YugabyteDB em escala. YugabyteDB Voyager é uma ferramenta de modernização de ponta a ponta que pode acelerar sua adoção nativa da nuvem simplificando a migração de esquema e dados de bancos de dados incluindo Oracle, PostgreSQL, MySQL, Aurora PostgreSQL, Azure SQL para PostgreSQL e mais. Saiba mais sobre YugabyteDB: https://www.yugabyte.com/ Inscreva-se no YugabyteDB Aeon gratuitamente: https://cloud.yugabyte.com/

**Average Rating:** 4.5/5.0

**Total Reviews:** 62

#### How Do G2 Users Rate YugabyteDB?

- **the product tem sido um bom parceiro comercial?:** 8.8/10 (Category avg: 8.8/10)
- **Dicionário de dados:** 8.3/10 (Category avg: 8.5/10)
- **Backup e recuperação:** 8.7/10 (Category avg: 8.5/10)
- **Migração de dados:** 8.6/10 (Category avg: 8.4/10)

#### Who Is the Company Behind YugabyteDB?

- **Vendedor:** [Yugabyte, Inc.](https://www.g2.com/pt/sellers/yugabyte-inc)
- **Website da Empresa:** www.yugabyte.com
- **Ano de Fundação:** 2016
- **Localização da Sede:** Sunnyvale, CA
- **Twitter:** @Yugabyte  
9,272 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/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 funcionários no LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Serviços Financeiros, Software de Computador
- **Company Size:** 45% Medium, 40% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários valorizam a **facilidade de escalabilidade** do YugabyteDB, permitindo um crescimento contínuo sem grandes períodos de inatividade ou dores de cabeça.
- Os usuários elogiam o YugabyteDB por sua **alta confiabilidade** , garantindo a segurança dos dados e um desempenho contínuo mesmo sob pressão.
- Os usuários valorizam a **alta disponibilidade** do YugabyteDB, garantindo desempenho confiável e tempo de inatividade mínimo para aplicações críticas.
- Os usuários valorizam a **alta disponibilidade** do YugabyteDB, permitindo desempenho contínuo e tempo de inatividade mínimo para cargas de trabalho críticas.
- Os usuários valorizam o **desempenho excepcional** do YugabyteDB, desfrutando de escalabilidade e resiliência para aplicações de alto volume.

##### Cons

- Os usuários acham a **complexidade operacional** no YugabyteDB desafiadora, especialmente ao lidar com sistemas distribuídos e recursos avançados.
- Os usuários acham a **curva de aprendizado íngreme** devido aos requisitos complexos de configuração e operação do YugabyteDB.
- Os usuários acham a **configuração complexa** do YugabyteDB desafiadora, exigindo esforço e tempo em comparação com bancos de dados mais simples.
- Os usuários acham a **configuração complexa** desafiadora, especialmente ao gerenciar clusters distribuídos como iniciantes.
- Os usuários enfrentam problemas de **desempenho lento** com o YugabyteDB, complicando a recuperação de dados e a eficiência operacional geral.

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

**["Bom para escalonamento do PostgreSQL, mas a complexidade operacional pode aumentar"](https://www.g2.com/pt/survey_responses/yugabytedb-review-7716153)**

**Rating:** 4.5/5.0 stars

_— Otacilio Pedro S._

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

**["Ótimo para aprender bancos de dados distribuídos com uso no mundo real"](https://www.g2.com/pt/survey_responses/yugabytedb-review-11199640)**

**Rating:** 4.5/5.0 stars

_— Vikas Kumar S._

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

### [SolarWinds Database Observability](https://www.g2.com/pt/products/database-observability/reviews)

SolarWinds Database Observability é uma solução abrangente de monitoramento e gerenciamento de desempenho de banco de dados projetada para ajudar equipes a gerenciar ambientes de banco de dados diversos, tanto em plataformas locais quanto na nuvem. Esta solução atende a uma ampla gama de tipos de banco de dados, incluindo bancos de dados relacionais, de código aberto e NoSQL, como SQL Server, Oracle, MySQL, PostgreSQL, MongoDB e vários serviços em nuvem como Amazon RDS e Azure SQL. Ao oferecer opções tanto auto-hospedadas quanto SaaS, ela proporciona flexibilidade para que as organizações escolham o modelo de implantação que melhor se adapta às suas necessidades. O público-alvo do SolarWinds Database Observability inclui profissionais de TI, administradores de banco de dados e equipes de DevOps que necessitam de uma solução robusta para monitorar e otimizar o desempenho de bancos de dados. Este produto é particularmente benéfico para organizações que gerenciam patrimônios de banco de dados mistos, pois consolida as capacidades de monitoramento em várias plataformas em uma única interface. Os usuários podem aproveitar esta ferramenta para monitorar a saúde do banco de dados, analisar o desempenho de consultas, solucionar problemas como esperas, bloqueios e deadlocks, e revisar planos de execução para otimização. Os principais recursos do SolarWinds Database Observability incluem análise de consultas, perfil de carga de trabalho e análise histórica, que capacitam os usuários a identificar e investigar problemas de desempenho de forma eficiente. A solução também incorpora detecção de anomalias, funcionalidades de alerta e relatórios, permitindo que as equipes recebam notificações oportunas sobre problemas potenciais e tomem medidas proativas. Ao correlacionar a atividade do banco de dados com métricas de CPU, memória e I/O de disco, os usuários obtêm uma visão abrangente do desempenho do banco de dados, facilitando uma análise de causa raiz mais rápida. Um dos benefícios de destaque do SolarWinds Database Observability é sua capacidade de fornecer visibilidade consistente em ambientes de banco de dados diversos, o que é crucial para organizações que necessitam de capacidades de solução de problemas aprofundadas juntamente com um contexto mais amplo de TI. A integração com o ecossistema mais amplo da SolarWinds, juntamente com o suporte para ferramentas populares como Service Desk, PagerDuty, ServiceNow e Teams, aumenta sua utilidade, permitindo que as equipes otimizem seus fluxos de trabalho e melhorem a colaboração. Esta abordagem holística para a observabilidade de banco de dados não só simplifica o gerenciamento de desempenho, mas também ajuda as organizações a manter operações de banco de dados otimizadas em um cenário de TI cada vez mais complexo.

**Average Rating:** 4.5/5.0

**Total Reviews:** 224

#### How Do G2 Users Rate SolarWinds Database Observability?

- **the product tem sido um bom parceiro comercial?:** 8.9/10 (Category avg: 8.8/10)
- **Dicionário de dados:** 8.4/10 (Category avg: 8.5/10)
- **Backup e recuperação:** 8.0/10 (Category avg: 8.5/10)
- **Migração de dados:** 7.5/10 (Category avg: 8.4/10)

#### Who Is the Company Behind SolarWinds Database Observability?

- **Vendedor:** [SolarWinds Worldwide LLC](https://www.g2.com/pt/sellers/solarwinds-worldwide-llc)
- **Website da Empresa:** www.solarwinds.com
- **Ano de Fundação:** 1999
- **Localização da Sede:** Austin, TX
- **Twitter:** @solarwinds  
19,570 seguidores no Twitter
- **Página do LinkedIn®:** [www.linkedin.com](https://www.g2.com/pt/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a1765c38bb6352c68352819e76f659e536738a569e70b5125a52a054a2348dc6&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F166039%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,824 funcionários no LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Tecnologia da Informação e Serviços, Software de Computador
- **Company Size:** 42% Medium, 38% Large

#### What Do G2 Reviewers Say About SolarWinds Database Observability?

_AI-generated summary from verified user reviews_

##### Pros

- Os usuários valorizam o **monitoramento em tempo real** da Observabilidade de Banco de Dados para identificar facilmente mudanças de carga de trabalho e prevenir problemas de desempenho.
- Os usuários apreciam as capacidades de **monitoramento em tempo real e histórico** do SolarWinds Database Observability, melhorando a eficiência na resolução de problemas.
- Os usuários apreciam a **visibilidade estelar** no desempenho do banco de dados, permitindo a rápida identificação de problemas e maior eficiência.
- Os usuários valorizam a **facilidade de uso** do SolarWinds Database Observability, apreciando sua configuração simples e painel intuitivo.
- Os usuários valorizam os **insights em tempo real** do SolarWinds Database Observability, aprimorando o gerenciamento proativo de banco de dados e o monitoramento de desempenho.

##### Cons

- Os usuários acham a **curva de aprendizado íngreme** , tornando desafiador para novas equipes utilizarem plenamente a plataforma.
- Os usuários acham a **curva de aprendizado acentuada** desafiadora, especialmente ao navegar pela complexidade da configuração e dos recursos avançados.
- Os usuários acham o **processo de configuração difícil** do SolarWinds Database Observability desafiador e demorado, especialmente para iniciantes.
- Os usuários acham o **preço alto** , tornando desafiador para equipes menores ou organizações com restrições orçamentárias.
- Os usuários acham a **complexidade** da configuração inicial e os dados avassaladores desafiadores, especialmente para os novatos em monitoramento de banco de dados.

#### What Are Recent G2 Reviews of SolarWinds Database Observability?

**["Excelente Visibilidade de Banco de Dados com Painéis Claros e Monitoramento em Tempo Real"](https://www.g2.com/pt/survey_responses/solarwinds-database-observability-review-12231701)**

**Rating:** 5.0/5.0 stars

_— Manjunath K._

[Read full review](https://www.g2.com/pt/survey_responses/solarwinds-database-observability-review-12231701)

**["Observabilidade de Banco de Dados SolarWinds"](https://www.g2.com/pt/survey_responses/solarwinds-database-observability-review-12675794)**

**Rating:** 5.0/5.0 stars

_— kiran w._

[Read full review](https://www.g2.com/pt/survey_responses/solarwinds-database-observability-review-12675794)

#### What Are G2 Users Discussing About SolarWinds Database Observability?

- [Para que é usado o Solarwinds Database Performance Analyzer?](https://www.g2.com/pt/discussions/what-is-solarwinds-database-performance-analyzer-used-for) - 2 comments

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[Browse Database Management Systems (DBMS) Themes](/categories/database-management-systems-dbms/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 October 3, 2024

Database management systems (DBMS) are designed to define, store, retrieve, and manage the data within a database. It allows users to create, maintain, and manage databases. DBMS manipulates the database as per the user requirements. Using DBMS ensures that the data of an organization is clean, consistent, secure, relevant, and supports concurrency.

Along with the standard database functionalities (e.g., CRUD operations), DBMS software has much stronger management capabilities. These include functions like stronger metadata visibility and analysis, in-depth and custom reporting, performance monitoring, usage analytics, and compliance checks. Extensive solutions may offer capabilities of [database backup software](https://www.g2.com/categories/database-backup), [data replication software](https://www.g2.com/categories/data-replication), [disaster recovery software](https://www.g2.com/categories/disaster-recovery), or [disaster recovery as a service (DRaaS) software](https://www.g2.com/categories/disaster-recovery-as-a-service-draas), as well.

Typically used by database administrators, DBMS are integral to preserving database quality and integrity. They fall into a larger database-oriented stack, which can include solutions like database security and database monitoring.

DBMS is used as part of both relational and non-relational databases. DBMS software are of different types, in association with the database being managed and organized. Some of the more popular DBMS are as follows:

- Relational: Associated typically with [relational databases](https://www.g2.com/categories/relational-databases), the relational model organizes data tabularly (rows and columns approach) and is currently the most standard database model. DMBS focused on the relational model are referred to as RDBMS.
- Object oriented: [Object-oriented databases](https://www.g2.com/categories/object-oriented-databases) follow a programming-style, object-oriented approach to entering and organizing data. DBMS aligned with this model are referred to as OODMBS.
- Hierarchical: In a hierarchical model, data is organized with a tree-like structure, where associations (“branches") extend from a point of data. DBMS aligned with this model are sometimes referred to as HDBMS.
- Distributed: Under a distributed database model, data is decentralized and stored across several locations. These locations can be physically local (e.g., different servers in the same data center) or spread apart (perhaps connected via SD-WAN). DMBS aligned with the distributed database model are sometimes referred to as DDBMS.
- Non-relational DBMS or NoSQL DBMS: NoSQL DBMS support both structured and unstructured data. There is no set defined schema as compared to other data models. The key benefit of this DBMS is that users can process queries of various elements and not be limited by the structure.

To qualify for inclusion in the Database Management Systems (DBMS) category, a product must:

- Manage and align with a database model (e.g., relational, object-oriented, hierarchical, distributed, non-relational)
- Can also exist as a standalone tool to manage databases
- Provide database maintenance functionalities
- Provide extensive reporting and activity analytics

Top Tools at a Glance

| 

 | 

Microsoft-ecosystem relational data with SSMS administration

 | 

User Review

"Makes Data management simpler!!"

 |
| 

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Elastic cloud data warehousing with workload isolation

 | 

User Review

"Elastic Scaling and Fast Analytics with Snowflake"

 |
| 

 | 

In-memory HTAP analytics inside SAP ecosystems

 | 

User Review

"Efficient Transactions, But Time-Intensive Setup"

 |
| 

 | 

Fully-managed relational databases inside GCP ecosystems

 | 

User Review

"Effortless Database Management with Google Cloud SQL"

 |
| 

 | 

Serverless ad-hoc querying on S3 data lakes

 | 

User Review

"Athena Makes S3 Data Validation Fast and Infrastructure-Free"

 |
| 

 | 

Unified analytics lifecycle with in-memory processing

 | 

User Review

"Effective Data Analysis with SAS Viya"

 |
| 

 | 

Oracle-native PL/SQL development and schema administration

 | 

User Review

"Oracle SQL Developer: A Go-To Tool for Direct Database Work"

 |
| 

 | 

MySQL-compatible HTAP with horizontal scalability

 | 

User Review

"TiDB Delivers NoSQL-Scale with SQL Simplicity and MySQL Compatibility"

 |
| 

 | 

Massively parallel enterprise data warehouse analytics

 | 

User Review

"Teradata Vantage Fast Query Performance and Strong Analytics for Big Data"

 |

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Show More

* * *

## How Do You Choose the Right Database Management Systems (DBMS)?

### What You Should Know About Database Management Systems (DMBS) Software

### What are Database Management Systems (DBMS)?

A database management system (DBMS) is a software application that is designed to store, retrieve, define, and manage the data within a database. DBMS can be viewed as an interface between the user and the database. The software is used to manage the data, database engine, and database schema. Simply put, DBMS manipulates the database as per the user requirements. Using DBMS ensures that the data of an organization is clean, consistent, secure, relevant, and supports concurrency.

To understand database management systems, it’s important to clearly define a database. A database is a collection of structured data stored within a computer system. The control of this database is done via DBMS. Data is modeled into rows and columns to make it more structured for applications to query information as required by the user. The data can be accessed from the database via Structured Query Language (SQL) or NoSQL databases. Some popular database solutions include Oracle database (Oracle RDBMS offering), Microsoft SQL Server, IBM DB2, Amazon RDS, among others.

In addition, several DBMS products are open source in nature, which means it grants the users complete freedom to customize the data as per requirements. An open-source database has its code freely available for download, modification, and reuse. Open source is the opposite of a proprietary database wherein the code cannot be accessed by anyone. Some examples include MongoDB, MariaDB, PostgreSQL, MySQL, and so on.

**What does a database management system (DBMS) do?**

In addition to all the features shared above, DBMS supports change management, security, backup and recovery, analyzes performance management, concurrency, among several other features. All the data being generated is being logged in the database, and also undergoes continuous audits to ensure that the applications that access them get the correct data.

From a user perspective, DBMS is a unified repository where end users can access any data required. The software ensures that the end user can access the required information limited to the particular persona. The user does not have to be concerned about where the data is located, as long as they can obtain the data for running their applications. The DBMS will handle every request that comes from an end user or any application.

**Components of a DBMS**

To understand more about database management systems, it is a good idea to identify the various components that constitute a DBMS:

**Storage:** This is the database or the place where the company stores its data. DBMS will act as the interface between the computer and the user to provide the data. It acts as an interface between an operating system (OS) (such as Windows or Linux) and a file system to store any data that comes through.

**Access language:** The DBMS needs to have an access language that allows it to communicate with multiple parties. SQL is an example of this.

**Metadata catalog** : This is also known as a data dictionary. It is a storehouse of all the data objects created. This catalog serves as an index page for users to query the information, or verify data requests. This catalog can hold various levels of details such as schemas, programs, usage details, communication details, performance updates, and several others.

**Lock managers:** This component of DBMS ensures that all user access is restricted to what rights have been set for that persona. Only those with access can add, edit, or delete data.

**Changelog:** The changelog component keeps a track of all changes being made to the database application. A record of all changes is known as the log. DBMS uses a log manager to keep track of all the logs created.

**Additional features:** Some database management tools can also include other additional components such as backup, copy, data integrity checks, among several others.

**What Does DBMS Stand For?**

DBMS stands for database management systems. DBMS is involved with incoming data, or more specifically managing and running the data. Data is unprocessed and random in nature. When this data is organized, this is known as information. Database management systems involve processing or managing data, and not information. With the growth of big data, data-intensive applications and data-heavy workloads being used to drive well-informed decisions has become the new norm. Having a strong database management system in place which understands a company's data needs and manages the data accordingly is key to ensuring that the data is being used justifiably.

#### What Types of Database Management Systems (DBMS) Exist?

DBMS are based on the database models that it works with. Some of the best database management systems are as follows:

**Hierarchical data model**** :** In this data model, data elements have a 1:n (one-to-many) relationship. It is a tree structure of data. It is a good option to store data that involves features, attributes, child-parent relationships, and other types of data.

**Network data model:** In this type of data model, the data is structured as 1:1 or many-to-many. Data can have more than one parent node. A key benefit of this type of database model is that it can build several relationships among different data types, which makes it much more efficient. 

**Relational database model:** This is the most commonly used data model by companies. In this, data has a 2D relationship, where the data is organized into rows and columns. The data within the table is related to each other, hence the term relational. Data within one table can also be linked to data in another table by using keys.

**Object-Oriented data model:** In this database model, the data is stored in the form of objects and not within tables or rows. The object would contain all the required data within it, and the user needs to access the address of the object to obtain the data for usage. Object-oriented databases are highly compatible with several programming languages, key ones include Java, C++, Perl, and several others.

**No SQL data model:** NoSQL data models support both structured and unstructured data. There is no set defined schema as compared to other data models. The key benefit of this data model is that users can process queries of various elements and not be limited by the structure.

**Cloud-based data model:** Companies can also choose to store their databases online as a cloud database. Here, the DBaaS model comes into the picture, wherein databases are managed via the cloud provider, the user only needs to pay the subscription fee. There is no need for the user to procure any additional hardware, which allows companies to save a significant amount of money on initial investments.

### What are the Common Features of Database Management Systems (DBMS)?

The following are some core features within database management software that can help users in several ways:

**Data structure:** This is the key feature of DBMS. All the data is stored in a categorized structure so that it becomes easier for the user to call upon the data when it is required. It makes it easier for applications to understand the data structure. DBMS can also ensure continuous updates when the data is in a clear hierarchical structure.

**Minimized duplication and redundancy:** Databases are used across almost all functions within a company. Since there are several users, this could cause issues such as data duplication and redundancy. DBMS ensures that the data present is only in a single instance, thereby reducing redundancy significantly.

**Database maintenance:** Every transaction creates a large amount of unstructured data. Large enterprises will have tons of data that require cleaning, security, and even backup and recovery. DBMS allows enterprises to ensure that the tons of data being generated every minute are being processed and managed correctly.

**Permanent data storage:** DBMS ensures that the data being stored is permanent and that there is no loss to the data. In case a loss occurs due to any unforeseen activity, the DBMS ensures that the data is backed up and can be recovered by the user when needed.

**Data security support:** Data needs to be safe. Ensuring that the data does not fall in the wrong hands is a key concern for companies especially when there are several data breaches causing companies to lose critical information. The DBMS features allow companies to create “personas” who can access all the data or some of the data (for a specific function for example). These key personas create user identities and approve access to ensure that security is maintained to a maximum.

**Multi-user access** : In continuation of the above point, multiple users can be given access once certain limits are set. These limits ensure that the data can be accessed or viewed as per the rights given.

**Metadata support:** Metadata is defined as the data that summarizes the main data; it makes finding the actual data easier. It provides the user what all data is within it, such as related files and objects. It provides more context for the data being stored. DBMS has a key feature of providing metadata libraries, making it easier for applications to call out the required data.

### What are the Benefits of Database Management Systems (DBMS)?

**Improved process efficiency:** One of the key features of DBMS is that it ensures that there are no inconsistencies in the data, caused by duplication. This allows for a clean database and smoother data management which improves the process efficiency across the company. In addition, since data is shared, it does not require much storage space, further streamlining the process.

**Data consistency:** DBMS ensures that the data is the same which is being used across various functions within a company. There is no change to the data, regardless of who is viewing it. 

**Customization:** A key benefit of DBMS is that it keeps applications and the database separate. An application can be customized as per user requirements, but the data being called or used will remain the same. In addition, these applications need not use all the data called while using the DBMS, only the required data is used. Ideally, each employee will have different ways to access the database based on the front-end application that they have been given. For example, an employee will not be able to access other employees’ personal information but the HR department will have access to this.

**Data availability:** DBMS needs to ensure that the data is made accessible to different employees at any time and from anywhere. Multiple users can access data remotely 24 hours a day.

### Who Uses Database Management Systems (DBMS)?

Users of DBMS have an important job of ensuring that the valuable data of a company is handled efficiently. These users need to be mindful of who can/cannot access the critical data and ensure the right settings and permissions have been given. Other users are primarily developers and designers who need access to the data while creating a new product/application.

Some of the main users of DBMS have been listed below:

**Database administrator (DBA):** Key persona handling the DBMS. The schema is determined by the DBA. They are also responsible for setting up different user IDs and rights for those who can access the database. This persona also monitors the database, ensures security is maintained, monitors backup and recovery plans, tracks errors or failures, provides database support, and several other requirements.

**Database designers:** Under this persona, the designer uses the DBMS to create data tables, rows, columns, indexes, and other design structures.

**Software developers:** Programmers and software developers would need access to data when developing a software application or making changes to one. This persona will have access to the database to ensure that the software application development process goes smoothly. In addition, as long as the various programs being created use an application programming interface (API) for the database software that has been provided by the DBMS provider, developers need not modify any programs just because changes were made to a database. This API does not bother the developer to keep track of any changes done to the database, it will automatically make the modifications that the developer requires.

**Managers:** Managers can use the database temporarily or whenever they require new information. This persona doesn't use DBMS daily, as the other personas, only when the requirement arises. 

**Other users:** This includes users such as analysts, scientists who do not write a code, but use the DBMS to query some information as and when required. They have interactions with the database as per their data requirements.

### Challenges with Database Management Systems (DBMS)

DBMS software is critical for any organization that manages its data. The software needs to be effective in handling the data accurately and safely. However, DBMS software does come with its own set of challenges. 

**Security challenges:** Hacking of the database is the biggest concern companies face. Critical data, master data, financial data, and several other data points of a company could be breached by hackers, who could misuse this information. Having robust, secure, and high-performance DBMS to ensure that the database is fully protected is a necessity. Setting up user rights for the database, which limits to which section of data a user can access, is a must.

**Safety of data:** Data needs to be clean, concise, and without any errors. When data is being processed, no part of it should be lost. DBMS should ensure that the database does not have any duplicate data points, cannot be deleted without the correct user rights, and should have transactional guarantees to ensure that all the data generated by a transaction is pure.

**Increased cost:** As the amount of data increases, there is a need to purchase more memory and higher server processing power to process large amounts of data. Along with the cost of infrastructure, security costs, maintenance costs, staff training costs, and data center construction costs, several other additional costs could end up becoming a huge investment for the firm. Although the introduction of cloud database as a service (DBaaS) does alleviate the issue, not many customers might be keen to move all their critical data to cloud and would prefer it on-premises.

**Data integration:** There are numerous sources of data—from hardware points such as mobile phones, laptops, to social media to IoT and several others. Businesses need to ensure that all this valuable data is being recorded properly. It can be a huge task for the DBMS to ensure that all the data from all these various data points are being recorded properly. Ensuring that the data is clean and has no duplicates or errors is a strenuous task.

**Managing both cloud and on-premises databases:** Companies can choose to opt for a mix of cloud and on-premises databases as per requirements. This could be a major challenge for DBMS since it would need to handle requests of both the databases and treat it as one big database. The user of the database does not need to know where or how the data is located, but only how they can access it. In addition, the vendor will need to choose a DBMS that is scalable when cloud is involved.

### How to Buy Database Management Systems (DBMS)

#### Requirements Gathering (RFI/RFP) for Database Management Systems (DBMS)

When choosing a DBMS, some important criteria need to be considered. Factors such as usability, functionality, and security are key criteria that cannot be compromised on. Having features such as dashboards and visualizations is a great benefit to have, to ensure ease of analyzing the data and keeping track of several queries. Other important features to look out for are support and development—the hours when customer support is available, the willingness to solve user queries, and so on.

As a business grows, scalability is an important criterion to keep in mind. With tons of data being generated, it can get difficult for the customers’ DBMS to scale as per requirement and manage millions of rows and columns of data. Another key feature to ensure that the DBMS has is integration support. There are numerous other software that are a part of a company's environment such as CRM, ERP, and others. How these integrations are managed and how the company ensures all these software connect with the DBMS is critical for the smooth flow of data.

#### Compare Database Management Systems (DBMS) Products

**Create a long list**

In this step, buyers should keep their options open to consider the full range of products. Buyers have the freedom to explore numerous offerings that the database management software market has. In addition, this is the main step to evaluate the answers to the above questions. The long list can be made much more concise and smaller by addressing the goals.

**Create a short list**

Buyers can make much more granular comparisons on this step. In addition to this, buyers can use the G2 reviews to further narrow this list down.

**Conduct demos**

Once the list has been reduced to a couple of vendors, buyers may begin to request a demo. During the demo, buyers should seek out information that is related to their non-negotiable terms. This is a good stage where the buyer can delve more deeply into understanding how secure their database will be, if they can promise high-performance support, and what the features are—latency in loading databases, after-service support, staff training, and other additional features that can be provided when opting for their DBMS product. 

#### Selection of Database Management Systems (DBMS)

**Choose a selection team**

Choosing the right team to work together to decide the right DBMS is a critical part of the process since several personas would need to access the database applications as per requirements. The team should include a mix of different personas who have the required skills, the interest, and the time. Some roles include DBMS admins, CXOs, application developers, and others.

**Negotiation**

A buyer can choose to negotiate to trim costs. The buyer needs to note that if in the future there is a requirement for scaling, there would be additional costs or an increase to the subscription pricing. For example, in case a customer chooses to opt for DBaaS solutions in addition to on-premises DBMS, it would be a good practice to check with the DBMS vendor if they offer any cloud support, training, and other factors. Keeping such factors in mind will help the buyer to put forward better negotiation tactics for the specific functions that matter.

**Final decision**

Once all the steps are complete, the final decision is made weighing all factors and scenarios. Having a trial run of the DBMS using smaller databases is a good place to start. A small group of database admins can pass on their views to the team making the final decision.