Integrated Game Analytics
For all games
The flexible and open system structure supports the independent custom development to meet the needs of Machine Learning and AI features.
All-in-one data platform solution
Data visualization layer
Easy to use various analysis modelsQuickly build data dashboard Make data analysis easierData storage layer
Efficient column-oriented storageDistributed Architecture&ReplicaMake data safe and reliableData collection layer
Open source SDKs for all edgesEfficient integration of multiple data sourcesBreak down data silosReal-time computing layer
Open query interfaceMake analysis flexibleData transmission layer
No-delay streaming ETLReal-time subscription for mass dataData visualization layer
Easy to use various analysis modelsQuickly build data dashboard Make data analysis easier
Real-time computing layer
Open query interfaceMake analysis flexible
Data storage layer
Efficient column-oriented storageDistributed Architecture&ReplicaMake data safe and reliable
Data transmission layer
No-delay streaming ETLReal-time subscription for mass data
Data collection layer
Open source SDKs for all edgesEfficient integration of multiple data sourcesBreak down data silos
Support multiple deployment solutions
SaaS cloud services
- Cost-effective cloud data centers
- Easy data integration and dashboard building
- Various analysis models are simply ready to use
Self-hosting solution
- Quickly deploy the self-hosting platform on clients' own cloud of choice
- Customize the solution according to customer needs and support dynamic expansion
- Provide dedicated site reliability and maintenance services after the deployment
Flexible and powerful custom development
Scalable by design
ThinkingEngine provides developer tools for self-hosting solution customers, providing a variety of user-friendly custom development capabilities, such as data deletion, deduplication, custom data import, etc., which can help the company manage data assets more flexibly and efficiently.
Integratable open platform
Developers can interact with the platform using RESTful APIs, opening up the analysis capabilities of ThinkingEngine in a standardized form, connecting with applications commonly used in customers' tech stack, and building the robust data analysis engine for the company.