Tencent Cloud TCHouse-D is built on Apache Doris, a leading open-source OLAP database. It is fully compatible with the MySQL protocol and designed as a cloud-native service, complete with integrated cluster management tools and a comprehensive monitoring and alerting system. This easy-to-use, low-maintenance, fully managed solution enables customers to perform real-time OLAP data analysis rapidly.
Tencent Cloud TCHouse-D
A managed Doris service optimized for flexible, high-performance OLAP analytics
Overview
Benefits
Out-of-the-Box Deployment
Deploy a production-ready analytics cluster in under 10 minutes directly from the console. Every cluster comes with a complete suite of built-in operations, monitoring, and alerting tools. You can create clusters, update configurations, and set up alerts—all with just a few clicks.
Ease of Use
Achieve instant productivity with full compatibility for the MySQL protocol and standard SQL. You can begin analyzing data immediately, with no need to learn new languages or navigate complex underlying schemas. This ensures a seamless, low-friction experience for all users.
High-Concurrency Queries
The service is architected for massive scale, supporting between 10,000 to 100,000 queries per second through optimized resource management. This enables thousands of users to perform concurrent data analysis without compromising performance.
Superior Performance
Powered by an advanced vectorized execution engine and a robust Massively Parallel Processing (MPP) framework, it natively supports star and snowflake schema models. Even on petabyte-scale datasets, it delivers consistent, sub-second query latency for near-instant insights.
Elastic Scalability
Easily scale your cluster up or down, or adjust node CPU and memory configurations, through simple console operations. This elasticity provides stable, agile support for dynamic business needs while optimizing costs by eliminating waste from idle resources.
Security and Reliability
Ensure continuous operation with a dual-node synchronous redundancy architecture that enables automatic, transparent failover and disaster recovery. Critical data infrastructure is further protected by a distributed, three-layer defense strategy spanning compute units, servers, and cabinets. Each user cluster is independently deployed within an isolated Virtual Private Cloud (VPC), delivering multiple, overlapping safeguards for data access and network security.
Scenarios
Multi-Dimensional Business Analysis
User Behavior Analysis
Various data is extracted, cleansed, and imported to Tencent Cloud TCHouse-D, such as the business data of orders and the financial category, tracking data for user behaviors, sales data, market data, and advertisement data. Query and analysis in hundreds of dimensions are performed to find the deep relationships among data. Business reports are generated to assist in business decision-making, and more valuable data services are also provided to upper-layer businesses. Tencent Cloud TCHouse-D features high concurrency, satisfying the need for highly frequent multi-user data mining and exploration in enterprises.
Users' behavior data such as clicks and duration in website, app, and gaming scenarios are collected and imported to Tencent Cloud TCHouse-D. With the excellent query performance of Tencent Cloud TCHouse-D, the analysis system can provide subsecond responses in multi-dimensional and multi-mode analysis, to quickly identify user behavior characteristics and patterns, providing strong support for businesses such as targeted marketing and membership conversion.
Pricing
Tencent Cloud Data Warehouse TCHouse-D offers two cluster types—compute-storage integrated and compute-storage decoupled—each with three distinct billing items. Both cluster types support subscription and pay-as-you-go billing models. For details, refer to Billing Overview.
FAQs
What is Tencent Cloud TCHouse-D?
Is Tencent Cloud TCHouse-D compatible with Doris of the community edition?
What is a cluster node?
What are node specifications?
What data sources does Tencent Cloud TCHouse-D support?