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.

How It Works

BigQuery Migration Service is a comprehensive, streamlined solution designed to migrate your data warehouse to BigQuery. This service provides free tools that guide you through every step of the migration process, from initial assessment and planning to data transfer and validation. These tools can help your organization plan for a faster, smoother, and less risky transition, accelerating the time it takes to realize the benefits of BigQuery, Google Cloud's unified, AI-ready data platform.

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.

Read the complete guide for migrating from Teradata to BigQuery

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.

Read the complete guide for migrating from Teradata to BigQuery

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.

Read the complete guide for migrating from Oracle to BigQuery

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.

Read the complete guide for migrating from Oracle to BigQuery

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.

Read the complete guide for migrating from Redshift to BigQuery

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.

Read the complete guide for migrating from Redshift to BigQuery

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.

Read the complete guide for migrating from Snowflake to BigQuery

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.

Read the complete guide for migrating from Snowflake to BigQuery

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.

Read the complete guide for migrating from Apache Hive to BigQuery

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.

Read the complete guide for migrating from Apache Hive to BigQuery

Get started with BigQuery today

Explore lakehouse jumpstart solution

Save costs with our new incentive program

See the BigQuery difference

BigQuery migration framework

Take the migration assessment

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