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-URL: https://cloud.google.com/bigquery
-Date Scraped: 2025-02-23T12:01:28.165Z
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-Google is a leader, positioned furthest in vision, in the 2024 Gartner Magic Quadrant for Cloud DBMS. Learn more.BigQueryFrom data warehouse to a unified, AI-ready data platformBigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud.Store 10 GiB of data and run up to 1 TiB of queries for free per month.Try it in consoleContact salesProduct highlightsUnified data platform to connect all your data and activate with AIBuilt-in machine learning to create and run models using simple SQLReal-time analytics with streaming and built-in BISign up for our no-cost discovery workshopFeaturesPower your data agents with Gemini in BigQueryGemini in BigQuery provides AI-powered assistive and collaboration features, including code assist, visual data preparation, and intelligent recommendations that help enhance productivity and optimize costs. BigQuery provides a single, unified workspace that includes a SQL, a notebook, and a NL-based canvas interface for data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use.VIDEOLearn how to build data agents with Gemini in BigQuery3:42Bring multiple engines to a single copy of dataBigQuery has multi-engine capabilities that includes SQL and serverless Apache Spark. A unified metastore for shared runtime metadata provides unified security and governance controls across all engines and storage types, and now supports Apache Iceberg. By bringing multiple engines, including SQL, Spark, and Python to a single copy of data and metadata, you can break down data silos and increase efficiency.VIDEOWhat's New with BigQuery at Next46:22Manage all data types and open formatsUse BigQuery to manage all data types across clouds, structured and unstructured, with fine-grained access controls. Support for open table formats gives you the flexibility to use existing open source and legacy tools while getting the benefits of an integrated data platform. BigLake, BigQuery’s storage engine, lets you have a common way to work with data and makes open formats like Apache Iceberg, Delta, and Hudi. Read new research on BigQuery's Evolution toward a Multi-Cloud Lakehouse.VIDEOBuild an open and fully managed lakehouse with BigQuery at Next42:06Built-in machine learningBigQuery ML provides built-in capabilities to create and run ML models for your BigQuery data. You can leverage a broad range of models for predictions, and access the latest Gemini models to derive insights from all data types and unlock generative AI tasks, such as text summarization, text generation, multimodal embeddings, and vector search. It increases the model development speed by directly bringing ML to your data and eliminating the need to move data from BigQuery.VIDEOAnalyze data in BigQuery using Gemini models7:10Built-in data governanceData governance is built into BigQuery, including full integration of Dataplex capabilities, such as a unified metadata catalog, data quality, lineage, and profiling. Customers can use rich AI-driven metadata search and discovery capabilities for assets, including dataset schemas, notebooks and reports, public and commercial dataset listings, and more. BigQuery users can also use governance rules to manage policies on BigQuery object tables.Data and AI governance at Next45:30Real-time analytics with streaming data pipelinesUse Managed Service for Apache Kafka to build and run real-time streaming applications. From SQL-based easy streaming with BigQuery continuous queries, popular open-source Kafka platforms, and advanced multimodal data streaming with Dataflow, including support for Iceberg, you can make real-time data and AI a reality.Enterprise capabilities BigQuery continues to build new enterprise capabilities. Cross-region disaster recovery provides managed failover in the unlikely event of a regional disaster as well as data backup and recovery features to help you recover from user errors. BigQuery operational health monitoring provides organization-wide views of your BigQuery operational environment. BigQuery Migration Services provides a comprehensive collection of tools for migrating to BigQuery from legacy or cloud data warehouses.Share insights with built-in business intelligenceWith built-in business intelligence, create and share insights in a few clicks with Looker Studio or build data-rich experiences that go beyond BI with Looker. Analyze billions of rows of live BigQuery data in Google Sheets with familiar tools, like pivot tables, charts, and formulas, to easily derive insights from big data with Connected Sheets. View all featuresHow It WorksBigQuery's serverless architecture lets you use SQL queries to analyze your data. You can store and analyze your data within BigQuery or use BigQuery to assess your data where it lives. To test how it works for yourself, query data—without a credit card—using the BigQuery sandbox.Run sample queryDemo: Solving business challenges with an end-to-end analysis in BigQueryCommon UsesGenerative AIUnlock generative AI use cases with BigQuery and Gemini modelsBuild data pipelines that blend structured data, unstructured data, and generative AI models together to create a new class of analytical applications. BigQuery integrates with Gemini 1.0 Pro using Vertex AI. The Gemini 1.0 Pro model is designed for higher input/output scale and better result quality across a wide range of tasks like text summarization and sentiment analysis. You can now access it using simple SQL statements or BigQuery’s embedded DataFrame API from right inside the BigQuery console.Learn more about BigQuery and Vertex AI integrationsLearn how to get started with Generative AI in BigQueryRead the latest innovations on BigQuery's integrations with Vertex AITutorials, quickstarts, & labsUnlock generative AI use cases with BigQuery and Gemini modelsBuild data pipelines that blend structured data, unstructured data, and generative AI models together to create a new class of analytical applications. BigQuery integrates with Gemini 1.0 Pro using Vertex AI. The Gemini 1.0 Pro model is designed for higher input/output scale and better result quality across a wide range of tasks like text summarization and sentiment analysis. You can now access it using simple SQL statements or BigQuery’s embedded DataFrame API from right inside the BigQuery console.Learn more about BigQuery and Vertex AI integrationsLearn how to get started with Generative AI in BigQueryRead the latest innovations on BigQuery's integrations with Vertex AIData warehouse migrationMigrate data warehouses to BigQuerySolve for today’s analytics demands and seamlessly scale your business by moving to Google Cloud’s enterprise data warehouse. Streamline your migration path from Netezza, Oracle, Redshift, Teradata, or Snowflake to BigQuery using the free and fully managed BigQuery Migration Service.Learn about BigQuery Migration Service for a comprehensive data warehouse migrationAmazon Redshift to BigQuery migration guideTeradata to BigQuery migration guideSnowflake to BigQuery migration guideTutorials, quickstarts, & labsMigrate data warehouses to BigQuerySolve for today’s analytics demands and seamlessly scale your business by moving to Google Cloud’s enterprise data warehouse. Streamline your migration path from Netezza, Oracle, Redshift, Teradata, or Snowflake to BigQuery using the free and fully managed BigQuery Migration Service.Learn about BigQuery Migration Service for a comprehensive data warehouse migrationAmazon Redshift to BigQuery migration guideTeradata to BigQuery migration guideSnowflake to BigQuery migration guideTransfer data into BigQueryBring any data into BigQueryMake analytics easier by bringing together data from multiple sources into BigQuery. You can upload data files from local sources, Google Drive, or Cloud Storage buckets, use BigQuery Data Transfer Service (DTS), Cloud Data Fusion plugins, replicate data from relational databases with Datastream for BigQuery, or leverage Google's industry-leading data integration partnerships. Learn about third-party transfersAutomate data movement into BigQuery with DTSDeploy data pipelines into BigQuery with Data FusionTutorials, quickstarts, & labsBring any data into BigQueryMake analytics easier by bringing together data from multiple sources into BigQuery. You can upload data files from local sources, Google Drive, or Cloud Storage buckets, use BigQuery Data Transfer Service (DTS), Cloud Data Fusion plugins, replicate data from relational databases with Datastream for BigQuery, or leverage Google's industry-leading data integration partnerships. Learn about third-party transfersAutomate data movement into BigQuery with DTSDeploy data pipelines into BigQuery with Data FusionUnlock value from all data typesDerive insights from images, documents, and audio files and combine with structured dataUnstructured data represents a large portion of untapped enterprise data. However, it can be challenging to interpret, making it difficult to extract meaningful insights from it. Leveraging the power of BigLake, you can derive insights from images, documents, and audio files using a broad range of AI models, including Vertex AI’s vision, document processing, and speech-to-text APIs, open-source TensorFlow Hub models, or your own custom models.Learn more about unstructured data analysis Tutorials, quickstarts, & labsDerive insights from images, documents, and audio files and combine with structured dataUnstructured data represents a large portion of untapped enterprise data. However, it can be challenging to interpret, making it difficult to extract meaningful insights from it. Leveraging the power of BigLake, you can derive insights from images, documents, and audio files using a broad range of AI models, including Vertex AI’s vision, document processing, and speech-to-text APIs, open-source TensorFlow Hub models, or your own custom models.Learn more about unstructured data analysis Pre-configured data solutionsDeploy a preconfigured data warehouse in the Google Cloud consoleDeploy an example data warehouse solution to explore, analyze, and visualize data using BigQuery and Looker Studio. Plus, apply generative AI to summarize the results of the analysis.Deploy in consoleDeploy a Google-recommended analytics lakehouse solutionSummarize large documents with AITutorials, quickstarts, & labsDeploy a preconfigured data warehouse in the Google Cloud consoleDeploy an example data warehouse solution to explore, analyze, and visualize data using BigQuery and Looker Studio. Plus, apply generative AI to summarize the results of the analysis.Deploy in consoleDeploy a Google-recommended analytics lakehouse solutionSummarize large documents with AIReal-time analyticsEvent-driven analysisGain a competitive advantage by responding to business events in real time with event-driven analysis. Built-in streaming capabilities automatically ingest streaming data and make it immediately available to query. This allows you to stay agile and make business decisions based on the freshest data. Or use Dataflow to enable fast, simplified streaming data pipelines for a comprehensive solution.Learn more about streaming data into BigQuerySQL-based streaming with continuous queriesReal-time data with BigQuery Pub/Sub subscriptionsReal-time analytics database solutions with BigQuery and BigtableTutorials, quickstarts, & labsEvent-driven analysisGain a competitive advantage by responding to business events in real time with event-driven analysis. Built-in streaming capabilities automatically ingest streaming data and make it immediately available to query. This allows you to stay agile and make business decisions based on the freshest data. Or use Dataflow to enable fast, simplified streaming data pipelines for a comprehensive solution.Learn more about streaming data into BigQuerySQL-based streaming with continuous queriesReal-time data with BigQuery Pub/Sub subscriptionsReal-time analytics database solutions with BigQuery and BigtablePredictive analyticsPredict business outcomes with leading AI/MLPredictive analytics can be used to streamline operations, boost revenue, and mitigate risk. BigQuery ML democratizes the use of ML by empowering data analysts to build and run models using existing business intelligence tools and spreadsheets. Predictive analytics can guide business decision-making across the organization.View analytics design patterns for predictive analytics use casesBuild an e-commerce recommendation systemPredict customer lifetime valueBuild a propensity to purchase solutionTutorials, quickstarts, & labsPredict business outcomes with leading AI/MLPredictive analytics can be used to streamline operations, boost revenue, and mitigate risk. BigQuery ML democratizes the use of ML by empowering data analysts to build and run models using existing business intelligence tools and spreadsheets. Predictive analytics can guide business decision-making across the organization.View analytics design patterns for predictive analytics use casesBuild an e-commerce recommendation systemPredict customer lifetime valueBuild a propensity to purchase solutionLog analyticsAnalyze log dataAnalyze and gain deeper insights into your logging data with BigQuery. You can store, explore, and run queries on generated data from servers, sensors, and other devices simply using GoogleSQL. Additionally, you can analyze log data alongside the rest of your business data for broader analysis all natively within BigQuery. Learn how to analyze logs using BigQueryVideo: How to analyze log data in BigQuerySample SQL queries for log analyticsPinpoint unique elements in dataTutorials, quickstarts, & labsAnalyze log dataAnalyze and gain deeper insights into your logging data with BigQuery. You can store, explore, and run queries on generated data from servers, sensors, and other devices simply using GoogleSQL. Additionally, you can analyze log data alongside the rest of your business data for broader analysis all natively within BigQuery. Learn how to analyze logs using BigQueryVideo: How to analyze log data in BigQuerySample SQL queries for log analyticsPinpoint unique elements in dataMarketing analyticsIncrease marketing ROI and performance with data and AIBring the power of Google AI to your marketing data by unifying marketing and business data sources in BigQuery. Get a holistic view of the business, increase marketing ROI and performance using more first-party data, and deliver personalized and targeting marketing at scale with ML/AI built-in. Share insights and performance with Looker Studio or Connected Sheets.Explore data and AI solutions built for marketing use casesTutorials, quickstarts, & labsIncrease marketing ROI and performance with data and AIBring the power of Google AI to your marketing data by unifying marketing and business data sources in BigQuery. Get a holistic view of the business, increase marketing ROI and performance using more first-party data, and deliver personalized and targeting marketing at scale with ML/AI built-in. Share insights and performance with Looker Studio or Connected Sheets.Explore data and AI solutions built for marketing use casesData clean roomsBigQuery data clean rooms for privacy-centric data sharingCreate a low-trust environment for you and your partners to collaborate without copying or moving the underlying data right within BigQuery. This allows you to perform privacy-enhancing transformations in BigQuery SQL interfaces and monitor usage to detect privacy threats on shared data. Benefit from BigQuery scale without needing to manage any infrastructure and built-in BI and AI/ML. Explore more use cases for data clean roomsTutorials, quickstarts, & labsBigQuery data clean rooms for privacy-centric data sharingCreate a low-trust environment for you and your partners to collaborate without copying or moving the underlying data right within BigQuery. This allows you to perform privacy-enhancing transformations in BigQuery SQL interfaces and monitor usage to detect privacy threats on shared data. Benefit from BigQuery scale without needing to manage any infrastructure and built-in BI and AI/ML. Explore more use cases for data clean roomsPricingHow BigQuery pricing worksBigQuery pricing is based on compute (analysis), storage, additional services, and data ingestion and extraction. Loading and exporting data are free.Services and usageSubscription typePrice (USD)Free tierThe BigQuery free tier gives customers 10 GiB storage, up to 1 TiB queries free per month, and other resources.FreeCompute (analysis)On-demandGenerally gives you access to up to 2,000 concurrent slots, shared among all queries in a single project.Starting at$6.25per TiB scanned. First 1 TiB per month is free.Standard editionLow-cost option for standard SQL analysis $0.04 per slot hourEnterprise editionSupports advanced enterprise analytics$0.06per slot hourEnterprise Plus editionSupports mission-critical enterprise analytics$0.10per slot hourStorageActive local storageBased on the uncompressed bytes used in tables or table partitions modified in the last 90 days. Starting at$0.02Per GiB. The first 10 GiB is free each month.Long-term logical storageBased on the uncompressed bytes used in tables or table partitions modified for 90 consecutive days. Starting at$0.01Per GiB. The first 10 GiB is free each month.Active physical storageBased on the compressed bytes used in tables or table partitions modified for 90 consecutive days.Starting at$0.04 Per GiB. The first 10 GiB is free each month.Long-term physical storageBased on compressed bytes in tables or partitions that have not been modified for 90 consecutive days.Starting at$0.02Per GiB. The first 10 GiB is free each month.Data ingestionBatch loading Import table from Cloud StorageFreeWhen using the shared slot poolStreaming insertsYou are charged for rows that are successfully inserted. Individual rows are calculated using a 1 KB minimum.$0.01per 200 MiBBigQuery Storage Write APIData loaded into BigQuery, is subject to BigQuery storage pricing or Cloud Storage pricing.$0.025per 1 GiB. The first 2 TiB per month are free.Data extractionBatch exportExport table data to Cloud Storage.FreeWhen using the shared slot poolStreaming readsUse the storage Read API to perform streaming reads of table data.Starting at$1.10per TiB readLearn more about BigQuery pricing. View all pricing detailsHow BigQuery pricing worksBigQuery pricing is based on compute (analysis), storage, additional services, and data ingestion and extraction. Loading and exporting data are free.Free tierSubscription typeThe BigQuery free tier gives customers 10 GiB storage, up to 1 TiB queries free per month, and other resources.Price (USD)FreeCompute (analysis)Subscription typeOn-demandGenerally gives you access to up to 2,000 concurrent slots, shared among all queries in a single project.Price (USD)Starting at$6.25per TiB scanned. First 1 TiB per month is free.Standard editionLow-cost option for standard SQL analysis Subscription type$0.04 per slot hourEnterprise editionSupports advanced enterprise analyticsSubscription type$0.06per slot hourEnterprise Plus editionSupports mission-critical enterprise analyticsSubscription type$0.10per slot hourStorageSubscription typeActive local storageBased on the uncompressed bytes used in tables or table partitions modified in the last 90 days. Price (USD)Starting at$0.02Per GiB. The first 10 GiB is free each month.Long-term logical storageBased on the uncompressed bytes used in tables or table partitions modified for 90 consecutive days. Subscription typeStarting at$0.01Per GiB. The first 10 GiB is free each month.Active physical storageBased on the compressed bytes used in tables or table partitions modified for 90 consecutive days.Subscription typeStarting at$0.04 Per GiB. The first 10 GiB is free each month.Long-term physical storageBased on compressed bytes in tables or partitions that have not been modified for 90 consecutive days.Subscription typeStarting at$0.02Per GiB. The first 10 GiB is free each month.Data ingestionSubscription typeBatch loading Import table from Cloud StoragePrice (USD)FreeWhen using the shared slot poolStreaming insertsYou are charged for rows that are successfully inserted. Individual rows are calculated using a 1 KB minimum.Subscription type$0.01per 200 MiBBigQuery Storage Write APIData loaded into BigQuery, is subject to BigQuery storage pricing or Cloud Storage pricing.Subscription type$0.025per 1 GiB. The first 2 TiB per month are free.Data extractionSubscription typeBatch exportExport table data to Cloud Storage.Price (USD)FreeWhen using the shared slot poolStreaming readsUse the storage Read API to perform streaming reads of table data.Subscription typeStarting at$1.10per TiB readLearn more about BigQuery pricing. View all pricing detailsPricing calculatorEstimate your monthly BigQuery costs, including region specific pricing and fees.Estimate your costsCustom quoteConnect with our sales team to get a custom quote for your organization.Request a quoteStart your proof of conceptStore 10 GiB of data and run up to 1 TiB of queries for free per month.Try BigQuery in consoleHave a large project?Contact salesLearn how to locate and query public datasets in BigQueryRead guideLearn how to load data into BigQueryRead guideLearn how to create and use tables in BigQueryRead guidePartners & IntegrationWork with a partner with BigQuery expertiseETL and data integrationReverse ETL and MDMBI and data visualizationData governance and securityConnectors and developer toolsMachine learning and advanced analyticsData quality and observabilityConsulting partnersFrom data ingestion to visualization, many partners have integrated their data solutions with BigQuery. Listed above are partner integrations through Google Cloud Ready - BigQuery.Visit our partner directory to learn about these BigQuery partners.FAQExpand allWhat makes BigQuery different from other enterprise data warehouse alternatives?BigQuery is Google Cloud’s fully managed and completely serverless enterprise data warehouse. BigQuery supports all data types, works across clouds, and has built-in machine learning and business intelligence, all within a unified platform. What is an enterprise data warehouse?An enterprise data warehouse is a system used for the analysis and reporting of structured and semi-structured data from multiple sources. Many organizations are moving from traditional data warehouses that are on-premises to cloud data warehouses, which provide more cost savings, scalability, and flexibility.How secure is BigQuery?BigQuery offers robust security, governance, and reliability controls that offer high availability and a 99.99% uptime SLA. Your data is protected with encryption by default and customer-managed encryption keys.How can I get started with BigQuery?There are a few ways to get started with BigQuery. New customers get $300 in free credits to spend on BigQuery. All customers get 10 GB storage and up to 1 TB queries free per month, not charged against their credits. You can get these credits by signing up for the BigQuery free trial. Not ready yet? You can use the BigQuery sandbox without a credit card to see how it works. What is the BigQuery sandbox?The BigQuery sandbox lets you try out BigQuery without a credit card. You stay within BigQuery’s free tier automatically, and you can use the sandbox to run queries and analysis on public datasets to see how it works. You can also bring your own data into the BigQuery sandbox for analysis. There is an option to upgrade to the free trial where new customers get a $300 credit to try BigQuery.What are the most common ways companies use BigQuery?Companies of all sizes use BigQuery to consolidate siloed data into one location so you can perform data analysis and get insights from all of your business data. This allows companies to make decisions in real time, streamline business reporting, and incorporate machine learning into data analysis to predict future business opportunities.Other inquiries and supportBilling and troubleshootingAsk the communityGoogle Accountjamzith nmajamzithnma0@gmail.com