Confluent Cloud for Google Cloud Platform

Fully Managed Apache Kafka® As a Service for GCP

Confluent delivers a resilient, scalable, event streaming platform deployable in minutes on Google Cloud Platform. With fully managed Apache Kafka and pre-built connectors to GCP services such as BigQuery, Confluent Cloud enables developers to easily build event driven applications, big data pipelines for machine learning, AI, and real-time streaming analytics.

Try it free on GCP marketplace

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With Confluent Cloud on GCP, you don’t have to worry about operating or maintaining Kafka.

Avantage 1

Évolutivité avec l'agilité native du cloud

  • Pas besoin de dimensionner ou de mettre à disposition des clusters
  • Pay only for what you use
Avantage 2

Exécuter des applications d'entreprise critiques

  • Niveaux SLA de disponibilité de 99,95 %
  • Enterprise-grade security and compliance
Avantage 3

Do more with fully managed Kafka

  • Ensure data compatibility with Schema Registry
  • Real-time stream processing with ksqlDB (in preview)
Chirag Dadia
Director of Engineering
Nuuly
We truly think of Confluent Cloud and Kafka as the central nervous system of our business, spanning everything from the customer-facing applications to distribution center operations from a technology perspective.

Tarification simple

Standard

Consumption Based Pricing

  • Commencez à faire du streaming en quelques minutes
  • Elastically scale up to 100MBps
  • Retention of up to 5TB.
  • Pay for what you use with consumption-based pricing

Dedicated

Custom Pricing

  • Custom cluster provisioning
  • Stream without limits with a service designed to meet your needs
  • VPC peering option to provide private networking connectivity between your clients and Confluent Cloud

Quickstart Tutorial

Want a step-by-step guide to get started?

Read Docs

Consumption Based Pricing

Exemple de tarification 01

In June, your cluster has a total of 100GB of data going in and a total of 200GB of data going out. At any given point, the cluster uses 100GB of storage. The cluster is in Google Cloud region us-east1.

Frais de données entrantes :

100 Go x 0,11 $/Go = 11,00 $

Frais de sortie des données :

200 Go x 0,11 $/Go = 22,00 $

Frais de conservation des données :

100 Go x 0,10 $/Go par mois = 10,00 $

Total charges

$11.00 + $22.00 + $10.00 = $43.00

Exemple de tarification 02

In June, you are running a cluster that streams data in and data out at a rate of 1MB/sec with a 7-day retention policy. The cluster is in Google Cloud region us-east1.

Frais de données entrantes :

1MB/sec x 86,400 sec/day x 30 days --> 2,531GB x $0.11/GB = $278.41

Frais de sortie des données :

1MB/sec x 86,400 sec/day x 30 days --> 2,531GB x $0.11/GB = $278.41

Frais de conservation des données :

1MB/sec x 86,400 sec/day x 7 days x replication (3) --> 1772GB x $0.10/GB-month = $177.20

Total charges

$278.41 + $278.41 + $177.20 = $734.02

*Prices vary by cloud region.

Clients

Nuuly

Nuuly

A team of engineers and developers at Nuuly designed, built and deployed a real-time event streaming architecture based on Confluent Cloud and Apache Kafka in just six months.
Read The Full Story
Recursion

Recursion

Recursion Accelerates Drug Discovery with New Data Pipelines Based on Confluent Cloud
Read The Full Story
ScrapingHub

ScrapingHub

Scrapinghub Accelerates Next-Generation Web Scraping Service with Confluent Cloud
Read The Full Story

En savoir plus

  • Unleashing Kafka and Google Tensorflow in the cloud

    Watch
  • Confluent on GCP Podcast

    Listen
  • Bridge to Cloud - Use Kafka to migrate to GCP

    Watch

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Free Forever on a Single Kafka Broker
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The software will allow unlimited-time usage of commercial features on a single Kafka broker. Upon adding a second broker, a 30-day timer will automatically start on commercial features, which cannot be reset by moving back to one broker.

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