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Introducción al Servicio de migración de BigQuery
En este documento, se proporciona una descripción general del Servicio de migración de BigQuery.
El Servicio de migración de BigQuery es una solución integral para migrar tu almacén de datos a BigQuery. Incluye herramientas gratuitas que te ayudan en cada fase de la migración, incluidas la evaluación y la planificación, la traducción de SQL para más de 10 dialectos, y la transferencia y la validación de datos.
Juntas, estas herramientas te ayudan a acelerar las migraciones y a reducir el riesgo, lo que acorta el tiempo de generación de valor.
En las fases de evaluación y planificación, puedes usar la función de evaluación de migración de BigQuery para comprender tu almacén de datos existente. Luego, puedes usar el traductor de SQL por lotes y el traductor de SQL interactivo para preparar tus secuencias de comandos y consultas de SQL a fin de que funcionen en BigQuery. Los traductores de SQL interactivos y por lotes admiten la traducción de una amplia gama de dialectos de SQL.
Las cuotas y los límites se aplican al número de trabajos y al tamaño de los archivos.
Para obtener más información sobre las cuotas y los límites de los servicios de migración, consulta Cuotas y límites.
Precios
No se aplican cargos por usar la API de migración de BigQuery. Sin embargo, se aplican las tarifas normales al almacenamiento que se usa para los archivos de entrada y salida. Para obtener más información, consulta los precios de almacenamiento.
[[["Fácil de comprender","easyToUnderstand","thumb-up"],["Resolvió mi problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Información o código de muestra incorrectos","incorrectInformationOrSampleCode","thumb-down"],["Faltan la información o los ejemplos que necesito","missingTheInformationSamplesINeed","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Otro","otherDown","thumb-down"]],["Última actualización: 2025-07-14 (UTC)"],[[["\u003cp\u003eBigQuery Migration Service offers a full suite of tools for data warehouse migration, covering assessment, SQL translation, data transfer, and validation.\u003c/p\u003e\n"],["\u003cp\u003eThe service includes both batch and interactive SQL translators that support multiple SQL dialects, aiding in the preparation of queries and scripts for BigQuery.\u003c/p\u003e\n"],["\u003cp\u003eThe BigQuery Data Transfer Service streamlines and manages the data migration process from existing data warehouses to BigQuery.\u003c/p\u003e\n"],["\u003cp\u003eThere is no direct cost to use the BigQuery Migration API itself, but standard storage fees apply for input and output files.\u003c/p\u003e\n"],["\u003cp\u003eUsers can estimate the cost of running their migrated data warehouse setup on BigQuery using the cost estimation functionality in Google Cloud Migration Center.\u003c/p\u003e\n"]]],[],null,["# Introduction to BigQuery Migration Service\n==========================================\n\nThis document provides an overview of the BigQuery Migration Service.\n\nThe BigQuery Migration Service is a comprehensive solution for migrating your data\nwarehouse to BigQuery. It includes features that help you with\neach phase of migration, including assessment and planning, SQL translation for\n[a variety of SQL dialects](/bigquery/docs/interactive-sql-translator#supported_sql_dialects),\ndata transfer, and data validation. Together, these tools help you accelerate\nmigrations and reduce risk, shortening the time to value.\n\nThe BigQuery Migration Service includes the following features:\n\n- **BigQuery migration assessment** : Assess and plan your data warehouse migration by running a [BigQuery migration assessment](/bigquery/docs/migration-assessment).\n- **SQL translation tools** : The translation tools automate the conversion of your SQL queries into GoogleSQL, including Gemini-enhanced SQL customization. You can use the [batch SQL\n translator](/bigquery/docs/batch-sql-translator) to migrate your SQL scripts in bulk, or the [interactive SQL translator](/bigquery/docs/interactive-sql-translator) to translate individual queries. You can also use the [SQL translation API](/bigquery/docs/api-sql-translator) to migrate your workloads to BigQuery.\n- **BigQuery Data Transfer Service** : Set up a data transfer that loads data from your data source to BigQuery. For more information, see [What is the BigQuery Data Transfer Service?](/bigquery/docs/dts-introduction).\n\nYou can also use the following open-source tools to help you with your migration process:\n\n- **Data migration tool** : Use the [data migration\n tool](https://github.com/GoogleCloudPlatform/data-migration-tool) to automate your data warehouse migration to BigQuery. The tool uses the BigQuery Data Transfer Service, the BigQuery translation services, and the data validation tool to transfer data, translate and validate DDL, DML, and SQL queries.\n- **Data validation tool** : After migrating your data to BigQuery, run the [data validation\n tool](https://github.com/GoogleCloudPlatform/professional-services-data-validator) to validate that your source and destination tables match.\n- **BigQuery permission mapper** : Use the [permission\n mapper](https://github.com/GoogleCloudPlatform/professional-services-bigquery-permission-mapper) to automate the creation and maintenance of user-modifiable permission maps. You can use the permission mapper to analyze and reconcile duplicate permissions and user groups, while also generating error reports. The tool outputs JSON and Terraform scripts for BigQuery group, user, and binding creation.\n- **Cloud Composer templates** : Use [Cloud Composer\n templates](https://github.com/GoogleCloudPlatform/professional-services-composer-templates) to simplify the creation of new Airflow DAGs or the migration of existing orchestrated jobs from on-premise to the cloud.\n- **Cloud Foundation Fabric** : View [Terraform examples and modules for\n Google Cloud](https://github.com/GoogleCloudPlatform/cloud-foundation-fabric), including an organization-wide landing zone blueprint, reference blueprints for network patterns and product features, and a library of adaptable modules.\n\nQuotas\n------\n\nQuotas and limits apply to the number of jobs as well as the size of files.\nFor more information on migration service quotas and limits, see\n[Quotas and limits](/bigquery/quotas#migration-api-limits).\n\nPricing\n-------\n\nThere is no charge to use the BigQuery Migration API. However, storage used for\ninput and output files incurs the normal fees. For more information, see\n[Storage pricing](/bigquery/pricing#storage).\n\nAdditionally, you can use the [cost estimation functionality in Google Cloud Migration Center](/migration-center/docs/migration-center-overview)\nto generate a cost estimate of running your data warehouse setup that you\nmigrate to BigQuery. For more information, see\n[Start a cost estimation](/migration-center/docs/estimate/start-estimation) and\n[Specify data warehousing requirements](/migration-center/docs/estimate/specify-datawarehouse-requirements).\n\nWhat's next\n-----------\n\n- For more information on batch SQL translator, see [Batch SQL translator](/bigquery/docs/batch-sql-translator).\n- For more information on using the interactive SQL translator, see [Interactive SQL translator](/bigquery/docs/interactive-sql-translator).\n- For more information on BigQuery migration assessment, see [BigQuery migration assessment](/bigquery/docs/migration-assessment).\n- Learn about the [Data Validation Tool](https://github.com/GoogleCloudPlatform/professional-services-data-validator#data-validation-tool).\n- For information about quotas and limits for the BigQuery Migration Service, see [Quotas and limits](/bigquery/quotas#migration-api-limits)."]]
