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Databend vs Tencent Cloud TCHouse-D

Databend

databend.com

Tencent Cloud TCHouse-D

intl.cloud.tencent.com

Side by side

FigureDatabendTencent Cloud TCHouse-D
Price from$23/mo$0.36/mo
Free planYes—
Free trialYes—
Open sourceYes—
WebYesYes
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYes—
Plans published52
Spec score · Data Warehouse Software9.3 (#1)7.3 (#13)
CompanyDatabend Labs says it was founded by a team of engineers; the company page lists its address as 732 S 6TH ST, STE R, Las Vegas, NV 89101, USA.Tencent says it was founded in 1998 and is headquartered in Shenzhen, China.
HeadquartersLas Vegas, Nevada, United StatesShenzhen, China
ProductDatabend describes itself as an open-source, Rust-powered, cloud-native warehouse for analytics, search, and AI workloads.Tencent Cloud TCHouse-D is a fully managed, cloud-native OLAP service built on Apache Doris.

Plans

Databend

  • CommunityFree
  • Databend CommunityFree
  • Business$23 a month
  • Personal$23 a month
  • DedicatedPriced on request

Databend pricing →

Tencent Cloud TCHouse-D

  • Standard 8-core 16 GB — pay-as-you-go (Hong Kong)$0.36 a month
  • Standard 8-core 16 GB — monthly subscription (Hong Kong)$183.20 a month

Tencent Cloud TCHouse-D pricing →

In their own words

Databend

Databend has no write-up on Specifiction yet; its figures are above.

Visit databend.com

Tencent Cloud TCHouse-D

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.

Visit intl.cloud.tencent.com