Cloud data migration
Activate your data with AI and build a strong AI-ready data foundation by moving to BigQuery, Google Cloud’s unified data platform. Streamline your migration path to BigQuery and accelerate your time to insights.
New customers get $300 in free credits to spend on BigQuery. Migration incentives are available for eligible customers.
Overview
Why migrate your data to BigQuery?
BigQuery is a unified AI-ready data platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multicloud. It supports diverse data analytics and lakehouse workloads with a user-friendly interface that enables data analysts, data engineers, and data scientists to work across the same set of governed data. It's cost-effective compared to other solutions, making it a smart choice for businesses looking to leverage enterprise data for AI.
BigQuery Migration Service tools
BigQuery Migration Service streamlines your migration to BigQuery, a unified data and AI platform. Start with the migration assessment to understand your existing data warehouse and plan your move. Next, batch and interactive SQL translators prepare your queries and scripts for BigQuery, supporting various SQL dialects. The BigQuery Data Transfer Service automates and manages data migration, ensuring a smooth transition. Finally, the Data Validation Tool verifies the success of your migration.
Data platform migration incentives
Migrating data platforms is not a trivial undertaking. We are introducing a new migration incentives program to help with your migration. This program includes Google Cloud credits to offset your migration costs, implementation services through Google or from eligible partners and cloud egress credits to cover costs associated with moving data from AWS or Azure.
Common Uses
Terradata to BigQuery migration
Migrating from Teradata to BigQuery
Migrating to BigQuery provides a modern, scalable, and cost-effective solution for advanced analytics, machine learning, and real-time insights. BigQuery eliminates the need for infrastructure management and scales automatically to meet your demands, allowing your team to focus on data analysis rather than system maintenance. Additionally, BigQuery's pay-as-you-go pricing model can lead to cost savings.
How-tos
Migrating from Teradata to BigQuery
Migrating to BigQuery provides a modern, scalable, and cost-effective solution for advanced analytics, machine learning, and real-time insights. BigQuery eliminates the need for infrastructure management and scales automatically to meet your demands, allowing your team to focus on data analysis rather than system maintenance. Additionally, BigQuery's pay-as-you-go pricing model can lead to cost savings.
Oracle to BigQuery migration
Migrating from Oracle to BigQuery
BigQuery offers executives a serverless data warehouse solution that eliminates hardware limitations and infrastructure management. Its architecture automatically scales resources to meet query demands, allowing you to focus on data analysis rather than system maintenance. BigQuery handles administrative tasks like scaling and high availability, simplifying your cloud data operations and reducing overhead.
How-tos
Migrating from Oracle to BigQuery
BigQuery offers executives a serverless data warehouse solution that eliminates hardware limitations and infrastructure management. Its architecture automatically scales resources to meet query demands, allowing you to focus on data analysis rather than system maintenance. BigQuery handles administrative tasks like scaling and high availability, simplifying your cloud data operations and reducing overhead.
Amazon Redshift to BigQuery migration
Migrating from Redshift to BigQuery
BigQuery offers a serverless, fully managed data warehouse with automatic scaling and pay-as-you-go pricing, eliminating the infrastructure management and capacity planning headaches. This translates to reduced operational costs and fast time-to-insights for your team. Additionally, BigQuery's native integrations with other Google Cloud services like Vertex AI enhances your overall data and AI ecosystem.
How-tos
Migrating from Redshift to BigQuery
BigQuery offers a serverless, fully managed data warehouse with automatic scaling and pay-as-you-go pricing, eliminating the infrastructure management and capacity planning headaches. This translates to reduced operational costs and fast time-to-insights for your team. Additionally, BigQuery's native integrations with other Google Cloud services like Vertex AI enhances your overall data and AI ecosystem.
Snowflake to BigQuery migration
Migrating from Snowflake to BigQuery
BigQuery offers a unified, cost-effective, serverless AI-ready data platform. With automatic scaling, it eliminates infrastructure management overhead and reduces costs. BigQuery's native integration with Google Cloud's AI capabilities, including Vertex AI and Gemini, streamlines your ability to bring AI to your data for the next generation of AI use cases and business transformation.
How-tos
Migrating from Snowflake to BigQuery
BigQuery offers a unified, cost-effective, serverless AI-ready data platform. With automatic scaling, it eliminates infrastructure management overhead and reduces costs. BigQuery's native integration with Google Cloud's AI capabilities, including Vertex AI and Gemini, streamlines your ability to bring AI to your data for the next generation of AI use cases and business transformation.
Apache Hive to BigQuery migration
Migrating from Apache Hive to BigQuery
BigQuery is a fully managed, serverless cloud data warehouse offering automatic scaling, a simple SQL interface, and integrated machine learning capabilities. These simplify operations and reduce the need for specialized expertise, making it an accessible and cost-effective option for many organizations. BigQuery supports multiple engines, including streaming, Spark, Python, and SQL, to help data professionals across your organization work off the same data.
How-tos
Migrating from Apache Hive to BigQuery
BigQuery is a fully managed, serverless cloud data warehouse offering automatic scaling, a simple SQL interface, and integrated machine learning capabilities. These simplify operations and reduce the need for specialized expertise, making it an accessible and cost-effective option for many organizations. BigQuery supports multiple engines, including streaming, Spark, Python, and SQL, to help data professionals across your organization work off the same data.
Get started with BigQuery today
Explore lakehouse jumpstart solution
Save costs with our new incentive program
See the BigQuery difference
BigQuery migration framework
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