Mantenha tudo organizado com as coleções
Salve e categorize o conteúdo com base nas suas preferências.
Ativar o sandbox do BigQuery
Com o sandbox do BigQuery, você explora os recursos do BigQuery sem custos para confirmar se ele é adequado às suas necessidades. Com o sandbox do BigQuery, é possível experimentar o BigQuery sem fornecer um cartão de crédito ou criar uma conta de faturamento para seu projeto. Se você já criou uma conta de faturamento, ainda pode usar o BigQuery sem custos financeiros no nível de uso gratuito.
Começar a usar o sandbox do BigQuery
No Google Cloud console, acesse a página BigQuery.
Também é possível abrir o BigQuery no console do Google Cloud
digitando o URL a seguir no seu navegador:
https://console.cloud.google.com/bigquery
O Google Cloud console é a interface gráfica usada para criar
e gerenciar recursos do BigQuery e executar consultas SQL.
Faça a autenticação com sua Conta do Google ou crie uma nova.
Na página de boas-vindas, faça o seguinte:
Em País, selecione seu país.
Marque a caixa de seleção se concordar com os Termos de Serviço.
Opcional: se for perguntado sobre atualizações por e-mail, marque a caixa de seleção para receber atualizações.
Clique em Agree and Continue.
Clique em Criar projeto.
Na página Novo projeto, faça o seguinte:
Em Nome do projeto, insira um nome.
Em Organização, selecione uma organização ou selecione Sem organização, se você não fizer parte de uma. As contas gerenciadas, como as associadas a instituições acadêmicas, precisam selecionar uma organização.
Se você for solicitado a selecionar um Local, clique em Procurar e selecione um local para seu projeto.
Clique em Criar. Você será redirecionado de volta para a página do BigQuery no
console do Google Cloud .
Você ativou o sandbox do BigQuery. Um aviso de sandbox do BigQuery será exibido na página do BigQuery:
O sandbox do BigQuery permite explorar
recursos limitados do BigQuery
sem custos financeiros. Quando estiver pronto para aumentar seus recursos de armazenamento e consulta, faça upgrade do sandbox do BigQuery.
São oferecidos os mesmos limites de uso gratuito disponíveis no nível gratuito do BigQuery, incluindo 10 GB de armazenamento ativo e 1 TB de dados de consulta processados por mês.
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-08-17 UTC."],[[["\u003cp\u003eThe BigQuery sandbox allows users to explore BigQuery's capabilities at no cost without needing a credit card or billing account.\u003c/p\u003e\n"],["\u003cp\u003eEnabling the sandbox involves navigating to the BigQuery page in the Google Cloud console, authenticating with a Google Account, and creating a new project.\u003c/p\u003e\n"],["\u003cp\u003eThe BigQuery sandbox has limitations, such as a 60-day expiration for all tables and views, and it does not support streaming data, DML statements, or BigQuery Data Transfer Service.\u003c/p\u003e\n"],["\u003cp\u003eUsers can upgrade from the sandbox to increase storage and query capabilities by enabling billing for their project and selecting a suitable BigQuery edition.\u003c/p\u003e\n"],["\u003cp\u003eAfter enabling the BigQuery sandbox, users are encouraged to try one of the three quickstarts provided, which will allow them to query a public dataset with the Google Cloud console, the bq command-line tool or the client libraries.\u003c/p\u003e\n"]]],[],null,["# Enable the BigQuery sandbox\n===========================\n\nThe BigQuery sandbox lets you explore limited BigQuery capabilities\nat no cost to confirm whether BigQuery fits your needs. The\nBigQuery sandbox lets you experience BigQuery without\nproviding a credit card or creating a billing account for your project. If you\nalready created a billing account, you can still use BigQuery at\nno cost in the free usage tier.\n\nStart using the BigQuery sandbox\n--------------------------------\n\n1. In the Google Cloud console, go to the **BigQuery** page.\n\n [Go to BigQuery](https://console.cloud.google.com/bigquery)\n\n You can also open BigQuery in the Google Cloud console\n by entering the following URL in your browser: \n\n ```\n https://console.cloud.google.com/bigquery\n ```\n\n The Google Cloud console is the graphical interface that you use to create\n and manage BigQuery resources and to run SQL queries.\n2. Authenticate with your Google Account, or create a new one.\n\n3. On the welcome page, do the following:\n\n 1. For **Country**, select your country.\n\n 2. For **Terms of Service**, select the checkbox if you agree to the terms\n of service.\n\n 3. Optional: If you are asked about email updates, select the checkbox if\n you want to receive email updates.\n\n 4. Click **Agree and continue**.\n\n4. Click **Create project**.\n\n5. On the **New Project** page, do the following:\n\n 1. For **Project name**, enter a name for your project.\n\n 2. For **Organization** , select an organization or select\n **No organization** if you are not part of one. Managed accounts, such\n as those associated with academic institutions, must select an\n organization.\n\n 3. If you are asked to select a **Location** , click **Browse** and select a\n location for your project.\n\n 4. Click **Create** . You are redirected back to the **BigQuery** page in\n the Google Cloud console.\n\nYou have successfully enabled the BigQuery sandbox. A\nBigQuery sandbox notice is now displayed on the **BigQuery** page:\n\nWith the BigQuery sandbox now enabled, we recommend that you try the\n[Query a public dataset with the Google Cloud console](/bigquery/docs/quickstarts/query-public-dataset-console)\nquickstart next. You can also try a similar\n[quickstart for the bq command-line tool](/bigquery/docs/quickstarts/query-public-dataset-bq),\nwhich is useful for many administrative tasks, or a similar\n[quickstart for the client libraries](/bigquery/docs/quickstarts/quickstart-client-libraries),\nwhich let you use BigQuery with programming languages like\nJava and Python.\n\nUpgrade from the BigQuery sandbox\n---------------------------------\n\nThe BigQuery sandbox lets you explore\n[limited BigQuery capabilities](#limitations)\nat no cost. When you are ready to increase your storage and query\ncapabilities, upgrade from the BigQuery sandbox.\n\nTo upgrade, do the following:\n\n1. [Enable billing](/billing/docs/how-to/modify-project#enable_billing_for_a_project)\n for your project.\n\n2. Explore [BigQuery editions](/bigquery/docs/editions-intro)\n and determine the pricing model that is right for you.\n\nOnce you have upgraded from the BigQuery sandbox, you should\n[update the default expiration times for your BigQuery resources](/bigquery/docs/updating-datasets#table-expiration)\nsuch as tables, views, and partitions.\n\nLimitations\n-----------\n\nThe BigQuery sandbox is subject to the following limits:\n\n- All BigQuery [quotas and limits](/bigquery/quotas) apply.\n- You are granted the same free usage limits as the BigQuery [free tier](/bigquery/pricing#free-tier), including 10 GB of active storage and 1 TB of processed query data each month.\n- All BigQuery [datasets](/bigquery/docs/datasets-intro) have a [default table expiration time](/bigquery/docs/updating-datasets#table-expiration), and all [tables](/bigquery/docs/tables-intro), [views](/bigquery/docs/views-intro), and [partitions](/bigquery/docs/partitioned-tables) automatically expire after 60 days.\n- The BigQuery sandbox does not support several BigQuery\n features, including the following:\n\n - [Streaming data](/bigquery/docs/write-api)\n - [Data manipulation language (DML) statements](/bigquery/docs/data-manipulation-language)\n - [BigQuery Data Transfer Service](/bigquery/docs/dts-introduction)\n\nWhat's next\n-----------\n\n- Learn to [query a public dataset with the Google Cloud console](/bigquery/docs/quickstarts/query-public-dataset-console).\n- Learn to [query a public dataset with the bq tool](/bigquery/docs/quickstarts/query-public-dataset-bq).\n- Learn to [query a public dataset with the client libraries](/bigquery/docs/quickstarts/quickstart-client-libraries).\n- For more information about using BigQuery at no cost in the free usage tier, see [Free usage tier](/bigquery/pricing#free-tier).\n- Get [updates about BigQuery releases](/bigquery/docs/release-notes).\n\n\u003c!-- --\u003e\n\n- If you are a Firebase user, see [Link BigQuery to Firebase](https://support.google.com/firebase/answer/6318765)."]]
