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Tencent Cloud TCHouse-D
Shenzhen, China
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 and data lake support. Users can create clusters from the console, scale them, and adjust node CPU and memory settings. Built-in operations, monitoring, and alerting tools support administration. The service describes vectorized execution and an MPP framework, with sub-second latency on petabyte-scale datasets and stated support for 10,000 to 100,000 queries per second. Data can come through streaming or bulk imports, Kafka, Cloud Object Storage, HDFS, JDBC connections to MySQL, PostgreSQL, SQL Server, and Oracle, or Elasticsearch. TencentDB and TDMQ are named Tencent Cloud sources. Pricing separates FE, BE, and storage items.
For and against
For
- Managed Apache Doris-based OLAP service
- Supports standard SQL and MySQL protocol
- Offers streaming and bulk imports
- Includes console scaling and resource controls
- Provides isolated VPC deployment
Against
- No free plan is listed
- Pricing has separate FE, BE, and storage charges
- Pricing is provided through paid billing modes
The verdict
TCHouse-D offers managed analytical clusters with broad ingestion and database connectivity options. Its separate compute and storage billing may require planning across several metered components.
Who it suits
It suits teams building cloud analytics for websites, apps, gaming, and other workloads requiring SQL-compatible OLAP and varied data imports.
Plans and prices
Standard 8-core 16 GB — pay-as-you-go (Hong Kong)
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)
Standard 8-core 16 GB · Hong Kong pricing
Read 7 Oct 2026 · intl.cloud.tencent.com
On the record
- Billing
- The service has FE node, BE node, and storage billing items, with monthly subscription and pay-as-you-go billing modes.intl.cloud.tencent.com · read 7 Oct 2026
- Company
- Tencent says it was founded in 1998 and is headquartered in Shenzhen, China.tencent.com · read 7 Oct 2026
- Concurrency
- The product page states the service supports 10,000 to 100,000 queries per second.intl.cloud.tencent.com · read 7 Oct 2026
- Data imports and integrations
- Documentation lists streaming and bulk imports, Kafka consumption, and data imports from Cloud Object Storage and HDFS.intl.cloud.tencent.com · read 7 Oct 2026
- Deployment
- The product page says a production-ready analytics cluster can be deployed from the console in under 10 minutes.intl.cloud.tencent.com · read 7 Oct 2026
- External data sources
- Documentation says the service can read from MySQL, PostgreSQL, SQL Server, and Oracle through JDBC, and from Elasticsearch.intl.cloud.tencent.com · read 7 Oct 2026
- Intended use
- The product page describes multidimensional business analysis and user behavior analysis for website, app, and gaming scenarios.intl.cloud.tencent.com · read 7 Oct 2026
- Operations
- Clusters include built-in operations, monitoring, and alerting tools.intl.cloud.tencent.com · read 7 Oct 2026
- Product
- Tencent Cloud TCHouse-D is a fully managed, cloud-native OLAP service built on Apache Doris.intl.cloud.tencent.com · read 7 Oct 2026
- Query performance
- The product page describes a vectorized execution engine and MPP framework, with sub-second latency on petabyte-scale datasets.intl.cloud.tencent.com · read 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.intl.cloud.tencent.com · read 7 Oct 2026
- Scaling
- Users can scale clusters and adjust node CPU and memory configurations through console operations.intl.cloud.tencent.com · read 7 Oct 2026
- SQL compatibility
- The service is fully compatible with the MySQL protocol and standard SQL.intl.cloud.tencent.com · read 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.intl.cloud.tencent.com · read 7 Oct 2026
