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.
Accelerate development without compromises
Google 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.
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). 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, and Data Studio to share data insights easily.
Build on an AI-ready foundation
Google’s two decades of innovation in machine learning and AI means 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 data sets in Google Cloud Storage or BigQuery.
Serverless Big Data platform
Products and solutions
Democratize insights and unlock the value hidden in your data with GCP and existing 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.
Store, process, and analyze massive volumes of structured and unstructured data in a secure, cost-efficient, and agile way.
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.
Data Solutions for Change
Scale your nonprofit’s mission by using purpose-driven analytics to make an impact.
Internet of Things
Easily and 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.
Unify marketing data in Google Cloud to enhance customer experiences, predict business outcomes, and improve campaigns.
Ingest, process, and analyze millions of events in real time, from anywhere in the world, and syndicate your stream across projects and apps.
Simplify and unify workflow orchestration across public clouds and on-premises environments.
This e-commerce company collects five billion clickstream events per day and uses real-time analytics on GCP to increase sales conversions and improve customer experience.
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.
75% of homedepot.com is now served out of Google Cloud, allowing Home Depot to better manage huge traffic spikes at peak shopping times throughout the year.
Try tutorials, launch quickstarts, and explore reviews.
Data Analytics blog
Data and ML training
Google Cloud Platform podcast
GCP Data & ML Twitter
Learn and build
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