Tencent Cloud TCHouse-D
Tencent Cloud TCHouse-D is a fully managed, cloud-native OLAP service built on Apache Doris for multidimensional business and user behavior analysis.
What Tencent Cloud TCHouse-D is
Tencent Cloud TCHouse-D is a fully managed, cloud-native OLAP service built on Apache Doris for multidimensional business and user behavior analysis. It supports standard SQL and the MySQL protocol, with separate compute and storage and data lake support. The console can deploy a production-ready analytics cluster in under 10 minutes; it also lets users scale clusters and change node CPU and memory settings. Built-in operations, monitoring, and alerting tools support cluster management. Tencent describes a vectorized execution engine and MPP framework, with sub-second latency on petabyte-scale datasets and support for 10,000 to 100,000 queries per second. Data options include streaming and bulk imports, Kafka, Cloud Object Storage, HDFS, and reads from MySQL, PostgreSQL, SQL Server, Oracle, and Elasticsearch. TencentDB and TDMQ are also named as sources. Reliability features include synchronous dual-node redundancy, automatic failover, disaster recovery, and isolated VPC deployment. Pricing is on request, with FE node, BE node, and storage billing items and subscription or pay-as-you-go modes.
Good
- Compatible with standard SQL and the MySQL protocol.
- Supports streaming and bulk imports.
- Includes monitoring and alerting tools.
- Offers isolated VPC deployment and automatic failover.
Watch out
- No free plan is listed.
- Pricing is on request.
- Compute and storage have separate billing items.
Who it suits
TCHouse-D suits teams analyzing business or user behavior data from websites, apps, or games. It may also fit organizations that need to combine streaming or bulk imports with data from cloud storage and databases.
Verdict
TCHouse-D brings managed analytics, data ingestion, and cluster controls together for cloud OLAP workloads. Pricing is available on request, and the listed billing structure separates node and storage charges.
Plans and prices
From Tencent Cloud TCHouse-D's own pricing page, checked 7 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Standard 8-core 16 GB — pay-as-you-go (Hong Kong) | $0.36 a month | Standard 8-core 16 GB · Hong Kong pricing · Pay-as-you-go; page lists USD/hour |
| Standard 8-core 16 GB — monthly subscription (Hong Kong) | $183.20 a month | Standard 8-core 16 GB · Hong Kong pricing · Monthly subscription; prepaid |
The facts
Each one read from Tencent Cloud TCHouse-D's own pages, with the date it was checked.
Money
- Billing
- The service has FE node, BE node, and storage billing items, with monthly subscription and pay-as-you-go billing modes.checked 7 Oct 2026
The company
- Company
- Tencent says it was founded in 1998 and is headquartered in Shenzhen, China.checked 7 Oct 2026
- Founded
- 1998checked 28 Sep 2026
- Headquarters
- Shenzhen, Chinachecked 28 Sep 2026
What it does
- Concurrency
- The product page states the service supports 10,000 to 100,000 queries per second.checked 7 Oct 2026
- Data imports and integrations
- Documentation lists streaming and bulk imports, Kafka consumption, and data imports from Cloud Object Storage and HDFS.checked 7 Oct 2026
- Deployment
- The product page says a production-ready analytics cluster can be deployed from the console in under 10 minutes.checked 7 Oct 2026
- External data sources
- Documentation says the service can read from MySQL, PostgreSQL, SQL Server, and Oracle through JDBC, and from Elasticsearch.checked 7 Oct 2026
- Intended use
- The product page describes multidimensional business analysis and user behavior analysis for website, app, and gaming scenarios.checked 7 Oct 2026
- Operations
- Clusters include built-in operations, monitoring, and alerting tools.checked 7 Oct 2026
- Product
- Tencent Cloud TCHouse-D is a fully managed, cloud-native OLAP service built on Apache Doris.checked 7 Oct 2026
- Query performance
- The product page describes a vectorized execution engine and MPP framework, with sub-second latency on petabyte-scale datasets.checked 7 Oct 2026
- Reliability and network security
- The product page describes synchronous dual-node redundancy, automatic failover, disaster recovery, and isolated VPC deployment for each user cluster.checked 7 Oct 2026
- Scaling
- Users can scale clusters and adjust node CPU and memory configurations through console operations.checked 7 Oct 2026
- SQL compatibility
- The service is fully compatible with the MySQL protocol and standard SQL.checked 7 Oct 2026
- Tencent Cloud integrations
- The product FAQ names TencentDB and TDMQ as Tencent Cloud data sources that can be imported for analysis and computing.checked 7 Oct 2026
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