Google Cloud Platform Services Summary

Last modified: January 2, 2019 | Previous Versions

The complete list of services that form Google Cloud Platform is shown below. While Google offers many other services and APIs, only the services below are covered by the Google Cloud Platform terms of service, service level agreements (if applicable), and support offerings.

Google App Engine: Google App Engine enables you to build and host applications on the same systems that power Google applications. App Engine offers fast development and deployment; simple administration, with no need to worry about hardware, patches or backups; and effortless scalability.

Google BigQuery Service: Google BigQuery Service is a fully managed data analysis service that enables businesses to analyze Big Data. It features highly scalable data storage that accommodates up to hundreds of terabytes, the ability to perform ad hoc queries on multi-terabyte datasets, and the ability to share data insights via the web.

Google Cloud Bigtable: Google Cloud Bigtable is a fast, fully managed, highly-scalable NoSQL database service. It is designed for the collection and retention of data from 1TB to hundreds of PB.

Google Cloud Build: Google Cloud Build is a service that executes your builds on Google Cloud Platform infrastructure. Google Cloud Build can import source code from Google Cloud Storage, Cloud Source Repositories, GitHub, or Bitbucket; execute a build to your specifications; and produce artifacts such as Docker containers or Java archives.

Google Cloud Dataflow: Google Cloud Dataflow is a fully managed service for strongly consistent, parallel data-processing pipelines. It provides an SDK for Java with composable primitives for building data-processing pipelines for batch or continuous processing. This service manages the life cycle of Google Compute Engine resources of the processing pipeline(s). It also provides a monitoring user interface for understanding pipeline health.

Google Cloud Datalab: Google Cloud Datalab is an interactive tool for exploration, transformation, analysis and visualization of your data on Google Cloud Platform. It runs in your cloud project and enables you to write code to use other Big Data and storage services using a rich set of Google-authored and third party libraries.

Google Cloud Dataproc: Google Cloud Dataproc is a fast, easy to use, managed Spark and Hadoop service for distributed data processing. It provides management, integration, and development tools for unlocking the power of rich open source data processing tools. With Cloud Dataproc, you can create Spark/Hadoop clusters sized for your workloads precisely when you need them.

Google Cloud Datastore: Google Cloud Datastore is a fully managed, schemaless, non-relational datastore. It provides a rich set of query capabilities, supports atomic transactions, and automatically scales up and down in response to load. It can scale to support an application with 1,000 users or 10 million users with no code changes.

Google Cloud Endpoints: Google Cloud Endpoints is a tool that helps you to develop, deploy, secure and monitor your APIs running on Google Cloud Platform.

Cloud Firestore: Cloud Firestore is a NoSQL document database for storing, syncing, and querying data for mobile and web apps. Its client libraries provide live synchronization and offline support, while its security features and integrations with Firebase and Google Cloud Platform accelerate building serverless apps.

Google Cloud Functions: Google Cloud Functions is a lightweight, event-based, asynchronous compute solution that allows you to create small, single-purpose functions that respond to cloud events without the need to manage a server or a runtime environment.

Cloud Healthcare: Cloud Healthcare is a fully managed service to send, receive, store, query, transform, and analyze healthcare and life sciences data and enable advanced insights and operational workflows using highly scalable and compliance-focused infrastructure.

Google Cloud IoT Core: Google Cloud IoT Core is a fully managed service that allows you to easily and securely connect, manage, and ingest data from internet connected devices. It permits utilization of other Google Cloud services for collecting, processing, analyzing, and visualizing IoT data in real time.

Cloud Talent Solution: Cloud Talent Solution offers access to Google's machine learning, enabling company career sites, job boards, ATS, staffing agencies, and other recruitment technology platforms to improve the talent acquisition experience.

Google Cloud Hardware Security Module: Google Cloud Hardware Security Module is a cloud-hosted key management service that lets you protect encryption keys and perform cryptographic operations within a managed HSM service. You can generate, use, rotate, and destroy various symmetric and asymmetric keys.

Google Cloud Key Management Service: Cloud KMS is a cloud-hosted key management service that lets you manage encryption for your cloud services the same way you do on-premises. You can generate, use, rotate, and destroy AES256 encryption keys.

Google Cloud Machine Learning Engine: Cloud Machine Learning Engine is a managed service that enables you to easily build machine learning models with the powerful TensorFlow framework. It provides scalable training and prediction services that work on large scale datasets.

Google Cloud Memorystore: Cloud Memorystore provides a fully managed in-memory data store service to build application caches or provide sub-millisecond data access. Cloud Memorystore is a scalable and highly available Redis service fully managed by Google.

Google Cloud Pub/Sub: Google Cloud Pub/Sub is designed to provide reliable, many-to-many, asynchronous messaging between applications. Publisher applications can send messages to a "topic" and other applications can subscribe to that topic to receive the messages. By decoupling senders and receivers, Google Cloud Pub/Sub allows developers to communicate between independently written applications.

Google Cloud Spanner: Cloud Spanner is a fully managed, mission-critical relational database service. It is designed to provide a scalable online transaction processing (OLTP) database with high availability and strong consistency at global scale.

Google Cloud SQL: Google Cloud SQL is a web service that allows you to create, configure, and use relational databases that live in Google's cloud. It is a fully-managed service that maintains, manages, and administers your databases, allowing you to focus on your applications and services.

Google Cloud Storage: Google Cloud Storage is a RESTful service for storing and accessing your data on Google's infrastructure. The service combines the performance and scalability of Google's cloud with advanced security and sharing capabilities.

Google Cloud Test Lab: Google Cloud Test Lab enables you to test mobile applications using physical and virtual devices in the cloud. It runs instrumentation tests and script-less robotic tests on a matrix of device configurations, and reports detailed results to help improve the quality of your mobile app.

Google Cloud Translation (and Google Cloud Translation v2 or any subsequent general availability version/release) is a RESTful API that automatically translates text from one language to another language (e.g. French to English). You can use the API to programmatically translate text in your webpages or apps.

Google Compute Engine: Google Compute Engine offers scalable and flexible virtual machine computing capabilities in the cloud, with options to utilize certain CPUs, GPUs, or Cloud TPUs. You can use Google Compute Engine to solve large-scale processing and analytic problems on Google's computing, storage, and networking infrastructure.

Google Container Registry: Google Container Registry is a private Docker image storage system on Google Cloud Platform. The registry can be accessed through an HTTPS endpoint, own hardware.

Google Data Loss Prevention API: The Google Data Loss Prevention API helps you understand and manage sensitive data. It provides fast, scalable classification and optional redaction for sensitive data elements like credit card numbers, names, social security numbers, passport numbers, US and selected international driver's license numbers, phone numbers, and more.

Google Kubernetes Engine: Google Kubernetes Engine, powered by the open source container scheduler Kubernetes, enables you to run containers on Google Cloud Platform. Kubernetes Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics such as logging, monitoring, and cluster health management.

Google Stackdriver: Google Stackdriver is an integrated monitoring, logging, and diagnostics hosted solution that helps you gain insight into applications that run on Google Cloud Platform and other public cloud platforms. Stackdriver helps you keep your cloud-powered applications fast and available. Stackdriver includes Monitoring, Logging, Error Reporting, Debugger, Profiler, and Trace components.

Cloud Filestore: Cloud Filestore is a scalable and highly available shared file service fully managed by Google. Cloud Filestore provides persistent storage ideal for shared workloads. It is best suited for enterprise applications requiring persistent, durable, shared storage which is accessed by NFS or requires a POSIX compliant file system.

Cloud Identity for Customers & Partners: Cloud Identity for Customers & Partners ("CICP") provides you with functionality and tools to manage your users' identities and access to your applications. CICP supports authentication and management of users with a variety of methods, including email & password, phone number, and popular federated identity providers like Google and Facebook.

Google Cloud Platform Machine Learning Services Group:

  • Cloud AutoML is a machine learning product suite that enables developers with limited machine learning expertise to provide their data sets and obtain access to quality trained models produced by Google's transfer learning and Neural Architecture Search (Google's technology for finding, generating, evaluating, and training numerous neural architectures to automatically select a solution for the customer's application):
    • Cloud AutoML Vision is a simple and flexible machine learning service that lets businesses and developers with limited machine learning expertise train custom and scalable vision models for their own use cases.
    • Cloud AutoML Natural Language enables customers to categorize input text into their own custom defined labels (supervised classification). Users can customize models to their own domain or use case.
    • Cloud AutoML Translation is a simple and scalable translation solution that allows businesses and developers with limited machine learning expertise to customize the Google Neural Machine Translation (GNMT) model for their own domain or use-case.
  • Cloud Text-to-Speech synthesizes human-like speech based on input text in a variety of voices and languages.
  • Dialogflow is a development suite for voice and text conversational apps including chatbots. Dialogflow is cross-platform and can connect to your own apps (on the web, Android, iOS, and IoT) or existing platforms (e.g., Actions on Google, Facebook Messenger, Slack). Dialogflow Enterprise Edition is the paid enterprise tier of Dialogflow provided under the Google Cloud Platform Terms of Service. The free tier of Dialogflow (Dialogflow Standard Edition) is not offered via the Google Cloud Platform Terms of Service and is provided under the Dialogflow Standard Edition Terms of Service.
  • Google Cloud Natural Language provides powerful natural language understanding as an easy to use API. This API enables application developers to answer the following questions: 1) What are the entities referred to in the block of text?; 2) What is the sentiment (positive or negative) for this block of text?; 3) What is the language of this block of text?; and 4) What is the syntax for this block of text (including parts of speech and dependency trees)? Users can call this API by passing in a block of text or by referring to a document in Google Cloud Storage.
  • Google Cloud Speech-to-Text allows developers to convert audio to text by applying powerful neural network models in an easy to use API.
  • Google Cloud Video Intelligence makes videos searchable, and discoverable, by extracting metadata with an easy to use REST API. It quickly annotates videos stored in Google Cloud Storage, and helps you identify key ​noun ​entities of your video​ ​and when they occur within the video.
  • Google Cloud Vision enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use API. It quickly classifies images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detects individual objects and faces within images, and finds and reads printed words contained within images. You can build metadata on your image catalog, moderate offensive content, or enable new marketing scenarios through image sentiment analysis. You can also analyze images uploaded in the request and integrate with your image storage on Google Cloud Storage.

Google Cloud Platform Networking Products:

  • Cloud Armor: Google Cloud Armor offers a policy framework and rules language for customizing access to internet-facing applications and deploying defenses against denial of service attacks.
  • Cloud NAT (Network Address Translation): Cloud NAT enables instances in a private network to communicate with the internet.
  • Google Cloud CDN: Google Cloud CDN uses Google's globally distributed edge points of presence to cache HTTP(S) load balanced content close to your users.
  • Google Cloud DNS: Google Cloud DNS is a high performance, resilient, global, fully managed DNS service that provides a RESTful API to publish and manage DNS records for your applications and services.
  • Google Cloud Interconnect: Cloud Interconnect offers enterprise-grade connections to Google Cloud Platform using Google Services for Dedicated Interconnect, Partner Interconnect and Cloud VPN. This solution allows you to directly connect your on-premises network to your Virtual Private Cloud.
  • Google Cloud Load Balancer (GCLB): Google Cloud Load Balancing provides scaling, high availability, and traffic management for your internet-facing and private applications.
  • Google Cloud Router: Google Cloud Router enables dynamic Border Gateway Protocol (BGP) route updates between your VPC network and your non-Google network.
  • Network Service Tiers: Network Service Tiers enable you to select different quality networks (tiers) for outbound traffic to the internet: the Standard Tier primarily utilizes third party transit providers while the Premium Tier leverages Google's private backbone and peering surface for egress.
  • Virtual Private Cloud: Virtual Private Cloud provides a private network topology with IP allocation, routing, and network firewall policies to create a secure environment for your deployments.
  • VPC Service Controls: VPC Service Controls provide administrators the ability to configure security perimeters around resources of API based cloud services (such as Cloud Storage, BigQuery, Bigtable) and limit access to authorized VPC networks, thereby mitigating data exfiltration risks.
  • VPN: VPN allows you to connect your existing network to your Google Compute Engine network via an IPsec connection or connect two different Google managed VPN gateways.

Other Google Cloud Platform Services:

  • Access Context Manager allows Google Cloud organization administrators to define fine-grained, attribute based access control for projects, apps and resources.
  • Access Transparency captures near real-time logs of manual, targeted accesses by Google administrators, and serves them to customers via their Stackdriver Logging account.
  • BigQuery Data Transfer Service automates data movement from SaaS applications to BigQuery on a scheduled, managed basis. With the BigQuery Data Transfer Service, you can transfer data to BigQuery from SaaS applications including Google Ads, Campaign Manager, Google Ad Manager, and YouTube.
  • Cloud Asset Inventory is an inventory of cloud assets with history. It enables users to export cloud resource metadata at a given timestamp or cloud resource metadata history within a time window.
  • Cloud SDK: Google Cloud SDK is a set of tools to manage resources and applications hosted on Google Cloud Platform. It includes the gcloud, gsutil, and bq command line tools. The gcloud command-line tool provides the primary command-line interface to Google Cloud Platform.
  • Cloud Security Command Center helps security teams gather data, identify threats, and act on them before they result in business damage or loss. It offers deep insight into application and data risk so that you can quickly mitigate threats to your cloud resources and evaluate overall health.
  • Cloud Source Repositories: Cloud Source Repositories provides Git version control to support collaborative development of any application or service, including those that run on App Engine and Compute Engine.
  • Cloud Storage Transfer Service enables you to import large amounts of online data into Google Cloud Storage, quickly and cost-effectively. With Storage Transfer Service, you can transfer data from Amazon Simple Storage Service (Amazon S3) and other HTTP/HTTPS locations as well as transfer data between Google Cloud Storage buckets.
  • Google Cloud Console App is a native mobile app that enables customers to manage key Google Cloud services. It provides monitoring, alerting, and the ability to take actions on resources.
  • Google Cloud Deployment Manager is a hosted configuration tool which allows developers and administrators to provision and manage their infrastructure on Google Cloud Platform. It uses a declarative model which allows users to define or change the resources necessary to run their applications and will then provision and manage those resources.
  • Google Cloud Identity-Aware Proxy is a tool that helps control access, based on a user's identity and group membership, to applications running on Google Cloud Platform.
  • Cloud Identity & Access Management (Cloud IAM) provides administrators the ability to manage cloud resources centrally by controlling who can take what action on specific resources.
  • Google Cloud Resource Manager API allows you to programmatically manage Google Cloud Platform container resources (such as Organizations and Projects), that allow you to group and hierarchically organize other Google Cloud Platform resources. This hierarchical organization lets you easily manage common aspects of your resources such as access control and configuration settings.
  • Google Cloud Security Scanner is a web application security scanner that enables developers to easily check for a subset of common web application vulnerabilities in websites built on App Engine and Compute Engine.
  • Google Cloud Shell is a tool that provides command-line access to cloud resources directly from your browser. You can use Cloud Shell to run experiments, execute Cloud SDK commands, manage projects and resources, and do lightweight software development via the built-in web editor.
  • Google Genomics provides an API to store, process, explore and share DNA sequence reads, reference-based alignments, and variant calls, using Google's cloud infrastructure.
  • Google Persistent Disk is durable and high performance block storage for Google Cloud Platform. Persistent Disk provides SSD and HDD storage that can be attached to instances running in either Google Compute Engine or Google Kubernetes Engine.
  • Google Service Control is a Google Cloud Platform infrastructure service that provides control plane functionality to managed services, such as logging, monitoring, and status checks.
  • Google Service Management is a Google Cloud Platform infrastructure service that manages APIs and services, including GCP services and APIs and services created using Google Cloud Endpoints.
  • Service Consumer Management provides utilities to help service producers manage their relationships with their services' consumers, including the ability to create and manage tenancy units.
  • Transfer Appliance is a solution that uses hardware appliances and software to transfer large amounts of data quickly and cost-effectively into Google Cloud Platform.

Firebase and associated services:

  • Firebase Authentication: Firebase Authentication provides a service as part of the Firebase platform to authenticate and manage users in your applications. It supports authentication using email & password, phone number and popular federated identity providers like Google and Facebook.
  • Firebase Test Lab: Firebase Test Lab lets you test your mobile app using your test code or automatically on a wide variety of devices and device configurations hosted in a Google data center, with test results made available in the Firebase console.
  • Google Cloud Functions for Firebase: Cloud Functions for Firebase lets you write code that responds to events and invokes functionality exposed by other Firebase features, once you deploy JavaScript code in a hosted, private, and scalable Node.js environment that requires no maintenance.
  • Google Cloud Storage for Firebase: Cloud Storage for Firebase adds customizable Google security (via Firebase Security Rules for Cloud Storage) to file uploads and downloads for your Firebase apps, as well as robust uploads and downloads regardless of network quality through the Firebase SDK. Cloud Storage for Firebase is backed by Google Cloud Storage, a service for storing and accessing your data on Google's infrastructure.

Cloud Identity Services:

Previous Versions