数据仓库

使用您自己的洞察引擎进行控制

Data Warehouse is a powerful data warehousing solution that consolidates all your GameAnalytics data into a single, organized, third-party database – ready for you to analyze at the event and player level.

受到 60,000 多家游戏工作室的信赖

赋能您的团队

您自己的无障碍数据工作台

使您的分析师能够对游戏事件运行高级 SQL 查询,而无需依赖工程师构建自定义 SDK、数据管道或存储基础设施。

  • 使用 SQL 运行高级查询
  • 查看赛事和玩家级别的数据
  • 连接多个来源的数据
  • 免费下载您的活动数据
  • 以编程方式访问您的数据

Typical setup and data transfer into a managed BigQuery instance takes days, not months – saving you all the R&D and empowering your data team in record time.

显示玩家行为数据的仪表板
Explore the costs

Game data pipeline: Building vs buying

As large number of studios, publishers, and game developers are heavily relying on data to guide their decisions, they need to decide between building or buying. But which one is more efficient?

A tablet showing a GameAnalytics report

无限可能

让我们充分连接您的数据

轻松获取数据供分析师在任何 BI 工具中使用,而无需考虑基础设施成本。

案例分析

使用事件级数据开发#1 MMO

Discover how the creators of “Zenith: The Last City”, a #1 hit across mutliple VR platforms including Quest, Steam and PS VR, use data-driven insights and features like Data Warehouse to improve user engagement.

Ramen VR
Zenith: The Last City

Need help?

Frequently asked questions

You have a limit of 500 events per user, per day (on average). This is typically sufficient for games across various platforms.

Note that if you exceed this limit, we will still collect the events. You’ll be notified that you’ve exceeded the limit and will be given time to address this.

With Data Warehouse, no. You do not need to host your data yourself - this is included in the full-package solution. You simply query what you need.

With Data Export, yes. Your data is exported to your cloud storage.

See our documentation 这里 regarding Design Events, and 这里 regarding Custom Event Fields.

Please note that Design Events and Custom Event Fields are only stored and available to query once you become a DataSuite customer. Data sent prior to becoming a customer will not be stored or populated in our DataSuite solutions.

We measure by the count of distinct users that sent at least one event during the time period. For example, for MAU it would be the count of users that sent at least one event during a specific month.

See our documentation regarding data retention for Data Warehouse 这里. For Data Export, the data is subject to your internal data retention policies as it is hosted on your cloud storage.

Yes. With Data Warehouse, you can use the native connectors available in BigQuery or create a new one. With Data Export, you can set up your pipeline with the tools of your choice.

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每个工作室都有独特的需求,我们致力于提供满足这些需求的定制解决方案。要了解更多信息并获得个性化报价,只需填写下面的简短表格即可。

久经考验的性能

Trusted, secure & stable

依靠我们无与伦比的大规模稳定性和 99.9999% 的正常运行时间保证,确保不间断地访问您的数据。

每月活跃游戏

95,000+

处理的每日事件

250亿+

正常运行时间记录

99.9999%

#1 值得信赖的服务

13 年

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