Big data analytics

Turn data into actionable insights with a comprehensive and serverless data analytics and machine-learning platform.

Big Data

Reimagine what data analytics can do

Accelerate time to insights and leave the complexities of data analytics behind with Google Cloud Platform (GCP). Realize the benefits of serverless, integrated, and end-to-end data analytics services that surpass conventional limitations on scale, performance, and cost efficiency.


Focus on analytics, not infrastructure

GCP’s fully managed, serverless approach removes operational overhead by handling your big data analytics solution’s performance, scalability, availability, security, and compliance needs automatically, so you can focus on analysis instead of managing servers. And thanks to innovative, customer-friendly pricing, you pay only for the resources you use — in some cases, by the second or the query. Flat-rate and sustained-use discounts are also available.

Speed Test

Accelerate development without compromises

BigQuery lets you analyze gigabytes to petabytes of data using ANSI SQL at blazing-fast speed and provides REST-based APIs for easy integration with other applications. Your developers can create analytics applications in familiar programming languages like Java, Python, C#, Go, Node.js, PHP, or Ruby. Cloud Pub/Sub lets you ingest millions of events per second from anywhere (and lets you publish it anywhere) in the world via an open API. Cloud Dataflow enables faster streaming and batch data pipeline development without compromising robustness, accuracy, or functionality. Enhance your BI solution with fast dashboards in Data Studio, powered by BigQuery BI Engine.


Get more from existing and open-source tools

GCP’s open architecture and easy integration with popular open-source tools allows for a faster time to value. You can reduce cost and increase performance of Apache Spark and Hadoop workloads by moving to Cloud Dataproc. Integration with popular open-source tools (such as Apache Kafka) and formats (such as Apache Avro) is easy, and data pipelines built on Apache Beam within GCP work on a choice of open-source runtimes (Spark or Flink). Cloud Data Fusion delivers managed data integration through a graphical interface and a broad open-source library of preconfigured connectors and transformations based on CDAP. Simplify workflow orchestration across public clouds and on-premises environments with Cloud Composer, built on Apache Airflow. Take advantage of familiar BI and visualization tools like Tableau, Qlik, Looker, Data Studio, and BigQuery BI Engine to share data insights easily.


Build on an AI-ready foundation

Google’s two decades of innovation in machine learning and AI mean you can bring predictive analytics into your applications using industry-leading services. Accelerate data preparation for machine learning with Cloud Dataprep. Use BigQuery ML to build machine-learning models on datasets of any size within BigQuery, using simple SQL. Leverage and train custom Google API machine-learning models with Cloud AutoML or build advanced TensorFlow models or Cloud Machine Learning Engine models by easily connecting to big datasets in Cloud Storage or BigQuery.

Secure Business

Secure your business and your data at any scale

GCP offers a more secure, scalable, and reliable infrastructure, no matter the workload, to help you build and operate mission-critical data analytics solutions. Our multilayered security approach helps ensure redundancy and reliability, with >99% uptime Service Level Objective (SLO), subject to the terms here, for all data analytics products. Secure and govern your data in Google Cloud with industry-leading tools and technologies that support compliance: Cloud Identity Access Management (IAM) for fine-grained identity and access management, Cloud Data Loss Prevention for classifying and redacting sensitive data, and Data Catalog for metadata management and data discovery.

Serverless big data platform

CaptureStoreBigQuery storage (Tables)Cloud Storage (Files)ProcessCloud DataprepAnalyzeBigQuery analyticsML EngineUseCloud DatalabData ScientistsBusiness AnalystsData StudioCloud DataflowCloud DataprocCloud Bigtable (NoSQL)Cloud Data TransferCloud Pub/SubCloud IoT CoreCloud DataflowCloud DataprocCloud Data Fusion (data integration)Cloud Composer (workflow orchestration)Google SheetsData Catalog (data discovery)

Products and solutions

Business intelligence

Democratize insights and unlock the value hidden in your data with Google and/or third-party BI tools.

Cloud-native data warehousing

Free up your team from managing infrastructure with BigQuery — a serverless, fully managed, and scalable data warehouse with built-in machine learning and geographic information systems (GIS).

Data lake

Store, process, and analyze massive volumes of structured and unstructured data in more secure, cost-efficient, and agile way.

Data integration

Integrate data from Google Cloud, public clouds, and on-premises environments through a point-and-click interface that enables the code-free development of ETL pipelines.

Data processing with Apache Hadoop and Apache Spark

Rethink operations with 90-second Hadoop and Spark cluster spin-ups and per-second billing only for the resources you use.

Stream analytics

Ingest, process, and analyze millions of events in real time, from anywhere in the world, and syndicate your stream across projects and apps.

Workflow orchestration

Simplify and unify workflow orchestration across public clouds and on-premises environments.

Data preparation

Visually explore, clean up, and prepare structured and unstructured data for analysis or machine learning.

Internet of Things

Easily and more securely connect, manage, and ingest IoT data from globally dispersed devices and analyze and implement operational changes in real time.

Machine learning and Cloud AI

Build, train, and serve customized machine-learning models or simply use pre-built models with Cloud AI APIs.

Marketing analytics

Unify marketing data in Google Cloud to enhance customer experiences, predict business outcomes, and improve campaigns.

Our customers

We knew data was a big part of making decisions in the future. So we needed a platform that could scale to meet our growing appetite for it. Google Cloud Platform — in particular Google BigQuery — was ideal for this task.

Nikunj Shanti, Chief Data and Digital Officer, AirAsia


This ecommerce company collects five billion clickstream events per day and uses real-time analytics on GCP to increase sales conversions and improve customer experience.

Snap Inc.

With security and stability as priority, Snapchat uses App Engine to develop their app easily, securely, and with scale for its 100 million daily users.

Home Depot

75% of is now served out of Google Cloud, allowing Home Depot to better manage huge traffic spikes at peak shopping times throughout the year.

Our partners

Let our big data partners help you innovate faster, scale smarter, and stay more secure.

informatica partner logo confluent partner logo hortonworks partner logo looker partner logo accenture partner logo sapient partner logo


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