Choose the services to run your data and analytics workloads.open_in_new
Data analytics products by use case
Expand sections or use the filter to find products and guides for typical use cases.
Data and AI platform
Use a serverless, cost-effective, and multi-cloud data and AI platform designed to help you turn big data into valuable business insights powered by Gemini.
Unify distributed data, automate data management and governance, and enable data discovery and quality checks across various Google Cloud and third party sources.
Learn about the BigQuery Migration Service, which is a comprehensive solution for migrating your data warehouse or lakehouse to BigQuery.
Data processing
Empower your data journey, from robust batch processing using managed Apache Spark and Apache Hadoop, to dynamic real-time stream processing with serverless, scalable pipelines using Apache Beam.
Learn about Google Earth Engine, which is a geospatial processing service. With Earth Engine, you can perform geospatial processing at scale, powered by Google Cloud.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-28 UTC."],[[["\u003cp\u003eExplore a variety of data analytics and pipeline solutions in Google Cloud, including products, capabilities, and recommended procedures.\u003c/p\u003e\n"],["\u003cp\u003eLearn how to load data into BigQuery, including batch loading and streaming, and discover resources to plan your data and analytics approach.\u003c/p\u003e\n"],["\u003cp\u003eAccess training courses, blog articles, and learning paths to study essential data analyst technologies and BI analytics with Looker.\u003c/p\u003e\n"],["\u003cp\u003eLeverage products and guides for typical data analytics and pipeline use cases, covering areas such as data analysis, governance, ingestion, orchestration, and processing.\u003c/p\u003e\n"],["\u003cp\u003eUtilize additional resources like Vertex AI, Blockchain Analytics, Dataprep by Trifacta, Cortex Framework, and Manufacturing Data Engine to enhance data-driven decision-making and insights.\u003c/p\u003e\n"]]],[],null,["# Data analytics\n==============\n\nDocumentation and resources for unlocking your data's potential and transforming it into actionable AI insights with Google Cloud products.\n[Get started for free](https://console.cloud.google.com/freetrial) \n\n#### Start your proof of concept with $300 in free credit\n\n- Get access to Gemini 2.0 Flash Thinking\n- Free monthly usage of popular products, including AI APIs and BigQuery\n- No automatic charges, no commitment \n[View free product offers](/free/docs/free-cloud-features#free-tier) \n\n#### Keep exploring with 20+ always-free products\n\n\nAccess 20+ free products for common use cases, including AI APIs, VMs, data warehouses,\nand more.\n\nExplore data analytics in Google Cloud\n--------------------------------------\n\nRead documentation and Cloud Architecture Center articles about data analytics products, capabilities, and procedures. \n[description](/bigquery/docs/introduction) \n\n### [Introduction to BigQuery](/bigquery/docs/introduction)\n\nLearn how BigQuery helps organizations to get insights into their data.[open_in_new](/bigquery/docs/introduction) \n[account_tree](/architecture/big-data-analytics) \n\n### [Data and analytics resources](/architecture/big-data-analytics)\n\nPlan your approach with Architecture Center resources across a variety of data and analytics topics.[open_in_new](/architecture/big-data-analytics) \n[account_tree](/architecture/big-data-analytics/analytics-lakehouse) \n\n### [Jump Start Solution: Analytics lakehouse](/architecture/big-data-analytics/analytics-lakehouse)\n\nPlan how to design an analytics lakehouse to store, process, and activate data.[open_in_new](/architecture/big-data-analytics/analytics-lakehouse)\n\nTraining, blog articles, and more\n---------------------------------\n\nGo to training courses, blog articles, and other related resources. \n[school](https://www.cloudskillsboost.google/paths/18) \n\n### [Data analyst learning path](https://www.cloudskillsboost.google/paths/18)\n\nStudy Google Cloud technologies essential to the data analyst role.[open_in_new](https://www.cloudskillsboost.google/paths/18) \n[school](https://www.cloudskillsboost.google/paths/28) \n\n### [BI and analytics with Looker learning path](https://www.cloudskillsboost.google/paths/28)\n\nStudy how to explore data in Looker and set up self-serve analytics for your users.[open_in_new](https://www.cloudskillsboost.google/paths/28) \n[cloud](https://cloud.google.com/blog/products/data-analytics/decision-tree-for-data-analytics-workloads-on-google-cloud) \n\n### [Decision tree for data and analytics workloads](https://cloud.google.com/blog/products/data-analytics/decision-tree-for-data-analytics-workloads-on-google-cloud)\n\nChoose the services to run your data and analytics workloads.[open_in_new](/blog/products/data-analytics/decision-tree-for-data-analytics-workloads-on-google-cloud)\n\nData analytics products by use case\n-----------------------------------\n\nExpand sections or use the filter to find products and guides for typical use cases. \n\n### Data and AI platform\n\n\nUse a serverless, cost-effective, and multi-cloud data and AI platform designed to help you turn big data into valuable business insights powered by Gemini. \n\n#### [BigQuery](/bigquery/docs)\n\nUnderstand your data using a fully managed, highly scalable data platform with built-in machine learning (ML).\n\n### Data analysis\n\n\nGet business intelligence in real time, built on governed data, that offers repeatable analysis and inspires in-depth understanding of the data. \n\n#### [BigQuery analytics](/bigquery/docs/query-overview)\n\nMaximize your data analysis investments when running analytic queries on large datasets. \n\n#### [Looker](/looker/docs)\n\nAccess, analyze, and act on an up-to-date, trusted version of your data. \n\n#### [Looker Studio](/looker/docs/studio)\n\nTell great data stories to support better business decisions.\n\n### Data governance and sharing\n\n\nManage the end-to-end data lifecycle and make it easier to manage, discover, govern, and share data and AI assets. \n\n#### [Unified governance in BigQuery](/bigquery/docs/data-governance)\n\nEnable intelligent data management with unified metadata and governance and security policies. \n\n#### [BigQuery sharing](/bigquery/docs/analytics-hub-introduction)\n\nShare data and insights at scale across organizational boundaries with a robust security and privacy framework. \n\n#### [Dataplex Universal Catalog](/dataplex/docs)\n\nUnify distributed data, automate data management and governance, and enable data discovery and quality checks across various Google Cloud and third party sources. \n\n#### [Sensitive Data Protection](/sensitive-data-protection/docs)\n\nDiscover and redact sensitive data. \n\n#### [Data Catalog](/data-catalog/docs)\n\nDiscover and understand your data using a fully managed and scalable data discovery and metadata management service. (Deprecated)\n\n### Data integration and orchestration\n\n\nIngest, transform, and load data from disparate data sources in a scalable and secure fashion, and build end-to-end orchestration for the enterprise. \n\n#### [BigQuery Data Transfer Service](/bigquery/docs/dts-introduction)\n\nAutomate data ingestion at scale into BigQuery without writing code, on a scheduled or ad hoc basis. \n\n#### [Cloud Composer](/composer/docs)\n\nCreate, schedule, monitor, and manage workflows using a fully managed orchestration service built on Apache Airflow. \n\n#### [Cloud Data Fusion](/data-fusion/docs)\n\nQuickly build and manage data pipelines using fully managed, code-free data integration with a graphical interface. \n\n#### [Dataform](/dataform/docs)\n\nGet an end-to-end experience that helps data teams build, version control, and orchestrate SQL pipelines in BigQuery. \n\n#### [Datastream](/datastream/docs)\n\nUse a serverless and easy-to-use change data capture (CDC) and replication service for real-time data ingestion. \n\n#### [Storage Transfer Service](/storage-transfer/docs/overview)\n\nTransfer data between Cloud Storage services such as AWS S3 and Cloud Storage. \n\n#### [Transfer Appliance](/transfer-appliance/docs/4.0/overview)\n\nShip large volumes of data to Google Cloud using rackable storage.\n\n### Data migration\n\n\nMigrate your lakehouse or warehouse to BigQuery with easy to use tools powered by Gemini that assist in every phase of migration. \n\n#### [Overview: Migrate data warehouses to BigQuery](/bigquery/docs/migration/migration-overview)\n\nLearn about general concepts and a framework that you can use to organize and structure your migration to BigQuery. \n\n#### [BigQuery Migration Service](/bigquery/docs/migration-intro)\n\nLearn about the BigQuery Migration Service, which is a comprehensive solution for migrating your data warehouse or lakehouse to BigQuery.\n\n### Data processing\n\n\nEmpower your data journey, from robust batch processing using managed Apache Spark and Apache Hadoop, to dynamic real-time stream processing with serverless, scalable pipelines using Apache Beam. \n\n#### [Dataflow](/dataflow/docs)\n\nDevelop real-time batch and streaming data processing pipelines. \n\n#### [Dataproc](/dataproc/docs)\n\nPerform batch processing, querying, and streaming using a managed Apache Spark and Apache Hadoop service. \n\n#### [Dataproc Serverless](/dataproc-serverless/docs)\n\nUse Dataproc Serverless to run Apache Spark batch workloads without provisioning and managing your own cluster.\n\n### Streaming\n\n\nIngest, process, and analyze event streams in real time, and generate actionable, real-time insights. \n\n#### [Dataflow](/dataflow/docs)\n\nDevelop real-time batch and streaming data processing pipelines. \n\n#### [Google Cloud Managed Service for Apache Kafka](/managed-service-for-apache-kafka/docs)\n\nUse a managed cloud service that lets you ingest Apache Kafka streams directly into Google Cloud. \n\n#### [Pub/Sub](/pubsub/docs)\n\nIngest event streams from anywhere, at any scale.\n\n### AI and ML\n\n\nSeamlessly integrate the power of generative AI and machine learning directly within your data to unlock deeper insights. \n\n#### [BigQuery ML](/bigquery/docs/bqml-introduction)\n\nBuild and train machine learning (ML) models directly using SQL queries. \n\n#### [Dataflow](/dataflow/docs/machine-learning)\n\nDeploy and manage complete machine learning (ML) pipelines. \n\n#### [Gemini in BigQuery](/gemini/docs/bigquery/overview)\n\nUse AI-powered assistance to help you work with your data in BigQuery. \n\n#### [Gemini in Looker](/gemini/docs/looker/overview)\n\nGet AI-powered assistance to help you work with your data in Looker.\n\n### Related products, guides, and sites\n\n#### [Vertex AI](/vertex-ai/docs)\n\nBuild and use generative AI using a fully managed, unified AI development platform. \n\n#### [Blockchain Analytics](/blockchain-analytics/docs)\n\nGet indexed blockchain data made available through BigQuery for easy analysis through SQL. \n\n#### [Cortex Framework](/cortex/docs)\n\nGet reference architectures, packaged solution deployment content, and integration services to kickstart your data and AI cloud journey. \n\n#### [Earth Engine](https://developers.google.com/earth-engine)\n\nLearn about Google Earth Engine, which is a geospatial processing service. With Earth Engine, you can perform geospatial processing at scale, powered by Google Cloud. \n\n#### [Manufacturing Data Engine](/manufacturing-data-engine/docs)\n\nUse an end-to-end solution that delivers scalable and seamless connectivity between the factory floor and the cloud."]]
