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Data and analytics topics

Data Analytics

Analyze and ingest data, predict business outcomes, and build data pipelines.

Data warehouse

BigQuery

Data warehouse for business agility and insights.

Business intelligence platform

Looker

Platform for BI, data applications, and embedded analytics.

MongoDB Atlas (pay-as-you-go)

MongoDB Inc.

Get started for free with Atlas, the best way to run MongoDB on Google Cloud

Streaming data analytics

Dataflow

Streaming analytics for stream and batch processing.

Event ingestion

Pub/Sub

Messaging service for event ingestion and delivery.

Data transformation pipeline

Dataform

Build, version control, and deploy SQL workflows in BigQuery.

Data governance

Dataplex

Intelligent data fabric for unified data management across distributed data silos.

Managed Spark and Hadoop service

Dataproc

Service for running Apache Spark and Apache Hadoop clusters.

Data integration

Cloud Data Fusion

Data integration for building and managing data pipelines.

Advertising platform

Google Marketing Platform

Marketing platform unifying advertising and analytics.

Storage engine

BigLake

Storage engine for unifying data warehouses and lakes.

Data capture and replication service

Datastream

Serverless change data capture and replication service.

Geospatial data catalog

Earth Engine

Geospatial platform for Earth observation data and analysis.

Databricks

Databricks

All your data, analytics and AI on one Lakehouse platform

Elastic Cloud (Elasticsearch Service)

Elastic

Elastic is the search-powered AI platform for search applications, observability, and security.

Telecom data management and analytics

Telecom Data Fabric

Telecom data management and analytics with an automated approach.

Databases

MongoDB Atlas (pay-as-you-go)

MongoDB Inc.

Get started for free with Atlas, the best way to run MongoDB on Google Cloud

SQL database

Cloud SQL

Fully managed database for MySQL, PostgreSQL, and SQL Server.

Non-relational database

Cloud Spanner

Cloud-native relational database with unlimited scale and 99.999% availability.

PostgreSQL database

AlloyDB for PostgreSQL

Fully managed, PostgreSQL-compatible database for demanding enterprise workloads.

NoSQL database service

Cloud Bigtable

Wide-column database for large-scale, low-latency workloads.

Document database

Firestore

Cloud-native document database for building rich mobile, web, and IoT apps.

NoSQL database

Datastore

Datastore is a highly scalable NoSQL database for your web and mobile applications.

Real time syncing and storage

Firebase Realtime Database

NoSQL database for storing and syncing data in real time.

Open source and mutlicloud migration

Database Migration Service

Serverless, minimal downtime migrations to Cloud SQL.

Cloud database management

SQL Server on Google Cloud

Options for running SQL Server virtual machines on Google Cloud.

Databricks

Databricks

All your data, analytics and AI on one Lakehouse platform

Elastic Cloud (Elasticsearch Service)

Elastic

Elastic is the search-powered AI platform for search applications, observability, and security.

Bare metal Oracle servers

Bare Metal Solution

Infrastructure to run specialized workloads on Google Cloud.

Apache Kafka® & Apache Flink® on Confluent Cloud™

Confluent

Apache Kafka, reinvented for the modern data stack

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Fases de lanzamiento de los productos

At Preview, products or features are ready for testing by customers. Preview offerings are often publicly announced, but are not necessarily feature-complete, and no SLAs or technical support commitments are provided for these. Unless stated otherwise by Google, Preview offerings are intended for use in test environments only. The average Preview stage lasts about six months.

General Availability products and features are open to all customers, ready for production use, and covered by a Google Cloud SLA, where applicable. Google typically supports General Availability products and features through APIs, CLIs, and the Google Cloud Console, except in unusual circumstances where providing one or more of the foregoing capabilities is unreasonable in the context of the particular product or feature.

Deprecated features are scheduled to be shut down and removed. For more information, see the "Discontinuation of Services" section of the Google Cloud Platform Terms of Service.

Early access: Early access features are limited to a closed group of testers for a limited subset of launches. Participation is by invitation only and may require signing a pre-general-availability agreement, including confidentiality provisions. These features may be unstable, change in backward-incompatible ways, and are not guaranteed to be released. There are no SLAs provided and no technical support obligations. Early access releases are rare and focus on validating product prototypes.

Alpha: Alpha is a limited-availability test before releases are cleared for more widespread use. Our focus with alpha testing is to verify functionality and gather feedback from a limited set of customers. Typically, alpha participation is by invitation and subject to pre-general-availability terms. Alpha releases don't have to be feature complete, no SLAs are provided, and there are no technical support obligations. However, alphas are generally suitable for use in test environments. The alpha phase usually lasts six months.

Beta: At beta, products or features are ready for broader customer testing and use. Betas are often publicly announced. There are no SLAs or technical support obligations in a beta release unless otherwise specified in product terms or the terms of a particular beta program. The average beta phase lasts about six months.

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