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Tencent Cloud TCHouse-D

intl.cloud.tencent.com

From $0.36/mo WebAPI
Visit intl.cloud.tencent.com
Spec score 7.3 #13 of 27 in Data Warehouse Software

What it is

Tencent Cloud TCHouse-D is a fully managed, cloud-native OLAP service built on Apache Doris for multidimensional business analysis and user behavior analysis. It supports standard SQL and the MySQL protocol, with separate compute and storage plus data-lake support. A production analytics cluster can be deployed from the console in under 10 minutes. Console controls handle scaling and node CPU or memory changes, while built-in operations, monitoring, and alerting support management. Tencent describes a vectorized execution engine and MPP framework, sub-second latency on petabyte-scale datasets, and 10,000 to 100,000 queries per second. Imports can be streaming or bulk, including Kafka, Cloud Object Storage, and HDFS. JDBC reads can connect to MySQL, PostgreSQL, SQL Server, and Oracle, and Elasticsearch is supported. TencentDB and TDMQ are named Tencent Cloud sources. Reliability features include dual-node redundancy, failover, disaster recovery, and isolated VPC deployment.

Spec sheet

Product
Tencent Cloud TCHouse-D is a fully managed, cloud-native OLAP service built on Apache Doris.Read 7 Oct 2026 · intl.cloud.tencent.com
Deployment
The product page says a production-ready analytics cluster can be deployed from the console in under 10 minutes.Read 7 Oct 2026 · intl.cloud.tencent.com
Headquarters
Shenzhen, ChinaRead 28 Sep 2026 · intl.cloud.tencent.com
Founded
1998Read 28 Sep 2026 · intl.cloud.tencent.com
Company
Tencent says it was founded in 1998 and is headquartered in Shenzhen, China.Read 7 Oct 2026 · tencent.com
Billing
The service has FE node, BE node, and storage billing items, with monthly subscription and pay-as-you-go billing modes.Read 7 Oct 2026 · intl.cloud.tencent.com
Concurrency
The product page states the service supports 10,000 to 100,000 queries per second.Read 7 Oct 2026 · intl.cloud.tencent.com
Data imports and integrations
Documentation lists streaming and bulk imports, Kafka consumption, and data imports from Cloud Object Storage and HDFS.Read 7 Oct 2026 · intl.cloud.tencent.com
External data sources
Documentation says the service can read from MySQL, PostgreSQL, SQL Server, and Oracle through JDBC, and from Elasticsearch.Read 7 Oct 2026 · intl.cloud.tencent.com
Intended use
The product page describes multidimensional business analysis and user behavior analysis for website, app, and gaming scenarios.Read 7 Oct 2026 · intl.cloud.tencent.com
Operations
Clusters include built-in operations, monitoring, and alerting tools.Read 7 Oct 2026 · intl.cloud.tencent.com
Query performance
The product page describes a vectorized execution engine and MPP framework, with sub-second latency on petabyte-scale datasets.Read 7 Oct 2026 · intl.cloud.tencent.com
Reliability and network security
The product page describes synchronous dual-node redundancy, automatic failover, disaster recovery, and isolated VPC deployment for each user cluster.Read 7 Oct 2026 · intl.cloud.tencent.com
Scaling
Users can scale clusters and adjust node CPU and memory configurations through console operations.Read 7 Oct 2026 · intl.cloud.tencent.com
SQL compatibility
The service is fully compatible with the MySQL protocol and standard SQL.Read 7 Oct 2026 · intl.cloud.tencent.com
Tencent Cloud integrations
The product FAQ names TencentDB and TDMQ as Tencent Cloud data sources that can be imported for analysis and computing.Read 7 Oct 2026 · intl.cloud.tencent.com

Plans and prices

Standard 8-core 16 GB — pay-as-you-go (Hong Kong) $0.36 a month Pay-as-you-go; page lists USD/hour Standard 8-core 16 GB · Hong Kong pricing Read 7 Oct 2026 · intl.cloud.tencent.com
Standard 8-core 16 GB — monthly subscription (Hong Kong) $183.20 a month Monthly subscription; prepaid Standard 8-core 16 GB · Hong Kong pricing Read 7 Oct 2026 · intl.cloud.tencent.com

Every Tencent Cloud TCHouse-D plan and price →

Strong points and limits

Strong points

  • Uses standard SQL and the MySQL protocol
  • Supports streaming, bulk, Kafka, and data-lake imports
  • Provides console scaling and node configuration
  • Offers failover, redundancy, and disaster recovery
  • Supports separate compute and storage

Limits

  • Pricing is available only on request
  • No free plan is listed
  • Billing has separate FE, BE, and storage items
  • Listed deployment is cloud

Who it suits

It suits teams running cloud analytics for website, app, or gaming data and needing SQL-compatible OLAP. Buyers should plan for separate compute, storage, and node billing.

Verdict

TCHouse-D combines managed Apache Doris analytics with broad import and database connectivity options. Its operational controls and stated scale suit large analytical workloads, while billing structure requires careful planning.

Where Specifiction places it

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