--- description: Avaliações detalhadas do Google Cloud BigQuery com base nos recursos, preços, facilidade de utilização e classificações. Veja rapidamente as vantagens e desvantagens. Compare o Google Cloud BigQuery com produtos similares. image: https://gdm-localsites-assets-gfprod.imgix.net/images/getapp/og_logo-94fd2a03a6c7a0e54fc0c9e21a1c0ce9.png title: Google Cloud BigQuery - Avaliações, preços e classificações | GetApp Brasil 2026 --- Breadcrumb: [Home](/) > [Ferramentas de BI](/directory/318/business-intelligence/software) > [Google Cloud BigQuery](/software/2057619/google-cloud-bigquery) # Google Cloud BigQuery Canonical: https://www.getapp.com.br/software/2057619/google-cloud-bigquery Página: 1 / 3\ Próximo: [Próxima página](https://www.getapp.com.br/software/2057619/google-cloud-bigquery?page=2) > O BigQuery é um armazém de dados sem servidor em várias nuvens, desenvolvido para ajudar a transformar big data em percepções valiosas de negócios. Os usuários podem consultar dados estruturados sem a necessidade de armazená-los ou carregá-los em seus próprios sistemas primeiro. O BigQuery fornece recursos como armazenamento de dados colunares aninhados, repetidos e compactados. > > Conclusão: 35 usuários atribuíram a nota **4.6/5**. Melhor classificado para **Probabilidade de recomendação**. ----- ## Estatísticas e notas | Métrica | Classificação | Detalhes | | **Geral** | **4.6/5** | 35 Avaliações | | Praticidade | 4.4/5 | Com base em avaliações gerais | | Suporte ao cliente | 3.9/5 | Com base em avaliações gerais | | Relação qualidade/preço | 4.2/5 | Com base em avaliações gerais | | Recursos | 4.7/5 | Com base em avaliações gerais | | Porcentagem de recomendação | 90% | (9/10 Probabilidade de recomendação) | ## Sobre o fornecedor - **Empresa**: Google ## Contexto comercial - **Preço inicial**: US$ 2.000,00 - **Modelo de preços**: (Versão gratuita disponível) (Teste grátis) - **Público-alvo**: Profissional autônomo, 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+ - **Implantação e plataformas**: Nuvem, SaaS, baseado na web - **Idiomas**: alemão, chinês, coreano, espanhol, francês, inglês, italiano, japonês, português - **Países disponíveis**: Afeganistão, Albânia, Alemanha, Andorra, Angola, Anguila, Antígua e Barbuda, Argentina, Argélia, Armênia, Aruba, Arábia Saudita, Austrália, Azerbaijão, Bahamas, Bangladesh, Barbados, Barein, Belize, Benin e mais 208 ## Recursos - Agregação e publicação de dados - Análise de dados preditiva - Análise de sentimentos - Análise de tendências - Análises pontuais - Aprendizado profundo - Armazéns de dados - Autoatendimento analítico - Automatização de processos e fluxos de trabalho - Biblioteca de algoritmos ML - Classificação de dados - Conectores de dados - Consulta pontual - Controles/permissões de acesso - Criação de diagramas - Criação de painel - Data Clustering - Data Mining - Descoberta de dados - ETL - Extract Transfer Load ## Integrações (8 no total) - Google Ads - Google Analytics 360 - Google Campaign Manager 360 - Google Cloud Bigtable - Google Cloud Compute Engine - Google Data Studio - Looker - Vertex AI ## Opções de suporte - Email/Help Desk - FAQs/Fórum - Base de conhecimento - Suporte por telefone - Bate-papo ## Category - [Ferramentas de BI](https://www.getapp.com.br/directory/318/business-intelligence/software) ## Categorias relacionadas - [Ferramentas de BI](https://www.getapp.com.br/directory/318/business-intelligence/software) - [Software de Análise Preditiva](https://www.getapp.com.br/directory/628/predictive-analytics/software) - [Ferramentas de Big Data](https://www.getapp.com.br/directory/603/big-data/software) - [Ferramentas de Análise de Dados](https://www.getapp.com.br/directory/1129/data-analysis/software) - [Software de Extração de Dados](https://www.getapp.com.br/directory/1157/data-extraction/software) ## Alternativas 1. 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[Tableau](https://www.getapp.com.br/software/90797/tableau-software) — 4.6/5 (2348 reviews) ## Avaliações ### "BigQuery for a Data Engineer" — 5.0/5 > **Luis** | *27 de setembro de 2022* | Gestão da educação | Taxa de recomendação: 10.0/10 > > **Vantagens**: For someone like me who works on the complete cycle of the data, it turns out to be a very good tool, since it allows us to do the complete cycle, from the initial step that is to put together a good ETL, clean our data, and be able to present it in a dashboard > > **Desvantagens**: once the table is created it is difficult to edit the columns, so you have to delete it when you use the data stream, your data is in a cache, and you can't manipulate it until a couple of hours have passed > > for 3 months our mobile applications stopped saving certain data, thanks to its integration with firebase, we were able to recover that data by querying its partitioned tables, and we were able to restore that data with its integration with python We have also built a dashboard where we make a conciliation of our clients' data, in case something goes wrong, we immediately realize what is happening ----- ### "Superb, Scalable Technology" — 5.0/5 > **John** | *8 de junho de 2023* | Música | Taxa de recomendação: 9.0/10 > > **Vantagens**: BigQuery is powerful, easy to set up and use, and wonderfully transparent about costs. I also prefer its mechanisms for dataset partitioning over, e.g., Snowflake's. > > **Desvantagens**: The BigQuery UI is not great. Saved queries are messy, and scheduled queries are very difficult to maintain (to the point that they probably should not be used at all). > > I really love BigQuery especially insofar as it fits within a GCP environment. It is incredibly powerful and, given some governance, not very expensive at all. I find it cheaper and slightly easier to manage than Snowflake, though both products are incredible to use. ----- ### "BigQuery is Great for Lots of Data" — 5.0/5 > **Samuel** | *17 de maio de 2023* | Telecomunicações | Taxa de recomendação: 7.0/10 > > **Vantagens**: BigQuery is great at working with lots of data at a good price, especially when used with other Google Cloud tools > > **Desvantagens**: It can get messy when you're working with many different data sets at once, and changing existing data columns is hard. > > Using BigQuery was a learning curve, it's great for analyzing data but not like my favorite relational database, Postgres, for everyday tasks. ----- ### ""Google Cloud BigQuery: The Ultimate Solution for Big Data Management and Analysis"" — 5.0/5 > **Rishikumar** | *19 de janeiro de 2023* | Software | Taxa de recomendação: 10.0/10 > > **Vantagens**: Google Cloud BigQuery is a powerful and user-friendly software for data warehousing and analytics. It can easily handle extremely large datasets, making it perfect for businesses that process and analyze massive amounts of data. The queries are executed quickly, even on large datasets, allowing for efficient data analysis and insights. The user interface is intuitive and easy to navigate, making it accessible for users of all skill levels. It integrates seamlessly with other Google Cloud products, such as Google Analytics and Google Cloud Storage, which allows for a streamlined workflow. The pricing is pay-per-use and the cost is generally lower for larger amounts of data, which makes it cost-effective. Additionally, it offers high performance, flexibility, and strong security features. > > **Desvantagens**: Google Cloud BigQuery is a great tool for data warehousing and analytics. One thing to keep in mind is that it can have a steep learning curve for those who are not familiar with SQL and data warehousing concepts. Additionally, it may not be as customizable as some other data warehousing and analytics tools. But overall, it offers a wide range of functionalities and a user-friendly interface, making it a great option for many use cases. I've found it to be a reliable and efficient tool for processing and analyzing large datasets. > > My experience using Google Cloud BigQuery has been very good. It is a strong software for data warehousing and analytics, capable of handling large datasets efficiently. Navigation and execution of queries are fast and user-friendly. The pay-per-use pricing model is cost-effective and it offers robust features such as high performance, flexibility, and security. It is an ideal choice for companies that want to extract valuable insights from big data. ----- ### "Google Cloud BigQuery is an Ideal Real-time Data Analysis Solution" — 4.0/5 > **Muhammad** | *16 de agosto de 2022* | Serviços financeiros | Taxa de recomendação: 9.0/10 > > **Vantagens**: Google Cloud BigQuery is cloud-based data warehouse allows super fast querying data. It simplifies data integration process that is cost effective as well. > > **Desvantagens**: Queries also result in lot of redundant data. It cannot be used to substitute a relational database. In some cases it does not accept special characters. Managing an enterprise data, in case of other than flat tables may not be easy. > > BigQuery is powerful and reliable tool to manage huge data consists of trillion of rows. It is well embedded with GCP which ensure economical solution. It provides rich infrastructure and instant real-time analysis. ----- Página: 1 / 3\ Próximo: [Próxima página](https://www.getapp.com.br/software/2057619/google-cloud-bigquery?page=2) ## Links - [Ver em GetApp](https://www.getapp.com.br/software/2057619/google-cloud-bigquery) ## Esta página está disponível nos seguintes idiomas | Localidade | URL | | de | | | de-AT | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-CL | | | es-CO | | | es-MX | | | fr | | | fr-BE | | | fr-CA | | | pt | | | pt-PT | | ----- ## Dados estruturados