💎 PREMIUM: Solutions/data migration - Complete Album!

BigQuery Migration Services innovations to simplify migrations announced at Google Cloud Next '25. Read the blog.

Migrate your data warehouse and data lakes with BigQuery Migration Services

Build a strong AI-ready data foundation by migrating your data to BigQuery, Google Cloud’s autonomous data to AI platform. Streamline your migration path to BigQuery and accelerate your time to insights and AI innovation.

New customers get $300 in free credits to spend on BigQuery. Migration incentives are available for eligible customers.

Overview

New: Innovations for lakehouse migrations

Automated Discovery and Assessment for Cloudera/Hadoop (Preview) offers migration options, costs, and complexity for Spark/SQL workloads across your environments. Automated Hive and Iceberg Tables, Metadata and Permissions Migration (Preview) automates direct migration to GCS, registering it with BigLake Metastore for immediate access. Automated Delta to Iceberg Migration (coming soon) will offer a "push-button" path for Delta Lake data and metadata migration to BigLake, enabling unified data to AI governance.


BigQuery Migration Services

BigQuery Migration Services streamlines your migrations with best-in-class automation, and predictable and bounded costs. Fully automated assessment with TCO helps you predict your data platform's landed state and plan your move. Gemini enhanced batch and interactive translators convert your code from 15+ sources. Intelligent data migration and validation ensure immediate availability of your modernized workloads.

Plan your migration by taking a free migration assessment
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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.

Data platform migration incentives program
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Data warehouse migration

Migrating your data warehouse to BigQuery helps you maximize value from your multimodal data. 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 more cost-effective compared to other solutions, making it a smart choice for businesses looking to leverage enterprise data for AI.

The economic advantages of Google Cloud BigQuery versus alternative data and AI platforms
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Data lake migration

Legacy data lakes cannot efficiently store and process the large volumes of unstructured data that AI thrives upon. Often, data silos persist across warehouses, lakes, and clouds, and many organizations simply lack the compute resources required for building and serving AI models. If you don’t want to rebuild your on-premises data lake in the cloud, lift and shift your data to Google Cloud to unlock cost savings and scale.

A practical guide to data lake migration
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How It Works

BigQuery Migration Services 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 autonomous data to AI platform.

Common Uses

Teradata 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.

    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.

      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.

        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.

          Cloudera to data lake migration

          Lift and shift your data lake

          Dataproc simplifies management and provides scalability, modernizing data processing. Migrating your data lake from Cloudera to Dataproc can help with operational efficiency and cost savings. Dataproc is a fully managed service for running Spark, Hive, and other OSS, and can help reduce infrastructure overhead. With flexible scaling and per-second billing to optimize costs and seamless Google Cloud integration with BigQuery, you can enable cost-effective and robust analytics with your multimodal data.

            Lift and shift your data lake

            Dataproc simplifies management and provides scalability, modernizing data processing. Migrating your data lake from Cloudera to Dataproc can help with operational efficiency and cost savings. Dataproc is a fully managed service for running Spark, Hive, and other OSS, and can help reduce infrastructure overhead. With flexible scaling and per-second billing to optimize costs and seamless Google Cloud integration with BigQuery, you can enable cost-effective and robust analytics with your multimodal data.

              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.

                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.

                  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.

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                  This service was built with Vertex AI. You must be 18 or older to use it. Do not enter sensitive, confidential, or personal info.

                  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

                  Business Case

                  See why leading customers migrate to BigQuery

                  Virgin Media O2 began a five-year Google Cloud migration post-merger to unify data and improve business and customer experiences.

                  Vinay Pai Head of Data Architecture, Virgin Media O2

                  "BigQuery has unlocked unprecedented scalability and flexibility for VMO2, improving data platform availability and uptime, which ultimately enhances customer experience. By moving all key functions to Google Cloud, VMO2 has reduced its TCO for equivalent on-premises platforms by approximately 30%."

                  BigQuery Migration Services usage has grown 3x year over year, with thousands of customers using it to migrate workloads to BigQuery

                  Simplified migrations

                  BigQuery Migration Services streamlines each phase of the data migration, from initial assessment and planning through data transfer and validation. These services minimize risks and drastically shorten the time required to realize value while helping create a smooth and efficient journey to BigQuery.

                  Cost-effective migrations

                  BigQuery's serverless architecture eliminates upfront hardware investments and minimizes ongoing maintenance expenses. BigQuery Migration Services enhance efficiency and can help reduce migration costs and increase overall operational savings.

                  Accelerate innovation with AI

                  When your data platform is directly connected to AI, you can innovate much faster. This facilitates real-time insights, improves model accuracy, and boosts overall efficiency, allowing you to leverage AI for rapid, data-driven decision-making.

                  Partners & Integration

                  Start your migration with one of our partners
                  • accenture logo
                  • Capgemini
                  • cognizant
                  • Deloitte
                  • HCLTech
                  • Infosys
                  • Insight Sada
                  • LTIMindtree logo
                  • Onix
                  • Persistent
                  • quantiphi
                  • Searce
                  • slalom
                  • softserve
                  • Tata Consultancy Services
                  • Tiger Analytics
                  • tredence
                  • wipro
                  • accenture logo
                  • Capgemini
                  • cognizant
                  • Deloitte
                  • HCLTech
                  • Infosys
                  • Insight Sada
                  • LTIMindtree logo
                  • Onix
                  • Persistent
                  • quantiphi
                  • Searce
                  • slalom
                  • softserve
                  • Tata Consultancy Services
                  • Tiger Analytics
                  • tredence
                  • wipro

                  Find these partners in our partner directory to get started with your migration today.

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