Databricks Notebooks vs Tencent Cloud TCHouse-D
Databricks Notebooks
databricks.comTencent Cloud TCHouse-D
intl.cloud.tencent.comSide by side
| Figure | Databricks Notebooks | Tencent Cloud TCHouse-D |
|---|---|---|
| Price from | Free | $0.36/mo |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Plans published | 11 | 2 |
| Spec score · Data Warehouse Software | 9.2 (#2) | 7.3 (#13) |
| Founded | 2013 | 1998 |
| Headquarters | San Francisco, California, United States | Shenzhen, China |
Plans
Databricks Notebooks
- Free EditionFree
- Pay as you goPrice not published
- Pay as you goPriced on request
- Committed Use ContractsPrice not published
- Committed Use ContractsPriced on request
- Free EditionFree
- Free trialFree
- Artificial Intelligence$0.07 a month
- Data Engineering$0.15 a month
- Data Warehousing$0.22 a month
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
In their own words
Databricks Notebooks
Databricks Notebooks has no write-up on Specifiction yet; its figures are above.
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.