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Tencent Cloud TCHouse-C

#31 of 33 in Analytics Databases

Tencent Cloud TCHouse-C: Managed ClickHouse clusters with scaling, monitoring, and real-time data input. Ranked #31 of 33 in Analytics Databases by our editors (6.4/10); pricing: Paid; best for tencent Cloud users wanting managed ClickHouse clusters.

6.4/10Editor score
Tencent Cloud TCHouse-C6.4 Visit Tencent Cloud

At a glance

  • Editor score
    6.4 / 10
  • Pricing
    Paid
  • Best for
    Tencent Cloud users wanting managed ClickHouse clusters
  • Free plan
    No
  • Deployment model
    Cloud
  • Facts checked
    24 Sep 2026
  • Where it wins

    • Scale clusters and adjust node configurations with one click
    • Tier hot and cold data, with cold storage in Tencent Cloud COS
    • Ingest from databases and write in real time through Tencent Oceanus
  • Where it doesn't

    • Paid service with no free plan
    • Compute, ZooKeeper, and storage charges are separate
    • Ticket support and a cloud-only deployment

Our verdict on Tencent Cloud TCHouse-C

Tencent Cloud TCHouse-C is a managed ClickHouse data warehouse for high-concurrency, real-time querying and analytics. It is aimed at mid-market and enterprise teams, particularly those already working in Tencent Cloud, that want hosted clusters with SQL access rather than operating ClickHouse themselves. Vendor materials cite large-scale analysis uses such as user behavior, dashboards, and A/B testing. The service is cloud-based and is available through web and API interfaces.

Cluster operations are a notable part of the offer: users can scale clusters and adjust node configurations, monitor activity and alerts, analyze queries, manage running queries, and review slow-query history. Backup, restore, table cloning, and database and table permissions are also included. Hot/cold data tiering places cold storage in Tencent Cloud COS. These controls suit teams that need operational and storage management alongside analytical querying; organizations seeking serverless compute should look elsewhere, as TCHouse-C is not positioned as serverless.

Data can be imported from ClickHouse, MySQL, Oracle, DB2, PostgreSQL, CKafka, Hive, and HBase, with Tencent Oceanus supporting real-time INSERT, UPDATE, and DELETE writing. That makes it relevant for teams whose inputs fit this set, but the integration and ticket-support options are narrower than a broader managed warehouse environment may offer. Paid options include monthly subscription and pay-as-you-go for Standard 4-core 16 GB in Hong Kong. Billing is based on compute nodes, ZooKeeper nodes, and storage, so the compute-node price alone is not the cluster total. Choose TCHouse-C for managed ClickHouse operations within Tencent Cloud; compare alternatives if you need a free plan, serverless compute, or broader support.

Your product? Our editors can test Tencent Cloud TCHouse-C in depth and publish a review, labelled as paid · from $149/mo →

Tencent Cloud TCHouse-C pricing

Plans Paid No free plan — trial or paid only. Prices checked 24 Sep 2026.
See plans on tencentcloud.com

All 1 Tencent Cloud TCHouse-C plans and prices →

Tencent Cloud TCHouse-C fact sheet

Free planNo
Paid fromNot verified
Deployment modelCloud
SQL interfaceYes
Open sourceNo
Streaming ingestionYes
Serverless computeNo
Data architectureColumnar
DeploymentCloud
PlatformsWeb
SupportTickets
Built forMid-market, Enterprise (editorial estimate)
Integrations10 integrations: ClickHouse, MySQL, Oracle, DB2, PostgreSQL, CKafka …
PricingPaid (source)
Websitetencentcloud.com
Facts checked24 Sep 2026

Tencent Cloud TCHouse-C integrations

Tencent Cloud TCHouse-C lists 10 integrations on its own site.

  • ClickHouse
  • MySQL
  • Oracle
  • DB2
  • PostgreSQL
  • CKafka
  • Hive
  • HBase
  • Tencent Oceanus
  • Tencent Cloud COS

Alternatives to Tencent Cloud TCHouse-C

See all Tencent Cloud TCHouse-C alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Tencent Cloud TCHouse-C 6.4/10

Tencent Cloud TCHouse-C is listed in our Analytics Databases directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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