Oracle Big Data Service vs Tencent Cloud Data Lake Compute (DLC)
Oracle Big Data Service
oracle.comTencent Cloud Data Lake Compute (DLC)
cloud.tencent.comSide by side
| Figure | Oracle Big Data Service | Tencent Cloud Data Lake Compute (DLC) |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | — |
| Plans published | 1 | 3 |
| Spec score · Data Lake Software | 7.5 (#10) | 5.6 (#18) |
Plans
Tencent Cloud Data Lake Compute (DLC)
- Shared enginePriced on request
- Dedicated engine pay-as-you-goPriced on request
- Dedicated engine subscriptionPriced on request
In their own words
Oracle Big Data Service
Oracle Big Data Service is a managed cloud service for creating Hadoop-based data lakes that process large amounts of data. Its distribution includes Apache Hadoop, Ambari, HBase, Hive, Spark, and other services. Customers can build clusters with OCI compute shapes, from small development environments to large production clusters on dedicated hardware, and choose NVMe or block storage. Clusters can be resized; secure, high-availability clusters are an option. Oracle Cloud SQL queries data across Hadoop, Kafka, NoSQL, and object stores using Oracle SQL. The service also describes SparkR for working with HDFS, Spark DataFrames, and JDBC sources and building models in R. Access is available through the OCI Console, CLI, REST APIs, and SDKs. Block Volume data is encrypted at rest by default, and OCI IAM controls authentication and authorization. Oracle describes both short-lived clusters for specific tasks and long-running data lakes. The listed service fee is 0.02 USD per OCPU per hour; compute and storage charges apply separately. Oracle lists separate hourly rates for compute shapes and Cloud SQL. Clusters need release updates to remain current and supported.
Tencent Cloud Data Lake Compute (DLC)
Tencent Cloud Data Lake Compute (DLC) is a cloud service for querying data through shared or dedicated engines. It includes a metadata catalog, governance controls, and support for open table formats. Queries are available through both a graphical interface and a command-line interface. DLC lists three plans: Shared engine, Dedicated engine pay-as-you-go, and Dedicated engine subscription. Shared engine billing is based on successfully scanned query data. The dedicated engine plans use compute units, with one CU described as approximately one CPU core and 4 GB of memory. The service is paid and has no free plan. Its listed platform is web, so access is browser-based. The plan choices separate scanned-data billing from dedicated capacity, with dedicated resources available under either pay-as-you-go or subscription terms. DLC therefore combines query access with cataloging and governance in a cloud deployment.