lakeFS vs Tencent Cloud Data Lake Compute (DLC)
lakeFS
lakefs.ioTencent Cloud Data Lake Compute (DLC)
cloud.tencent.comSide by side
| Figure | lakeFS | Tencent Cloud Data Lake Compute (DLC) |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 3 |
| Spec score · Data Lake Software | 7.5 (#9) | 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
lakeFS
lakeFS provides data version control and governance for teams working with petabyte-scale multimodal data. Its engine records changes and uses branches, commits, merges, and rollbacks to manage data versions. Branches create isolated environments without copying data or adding storage costs. Write-Audit-Publish workflows use automated hooks and human review to check changes before merging. Immutable commits, tags, and lineage connect experiments and agent actions to the data versions behind them. Listed controls include role-based access, geo-based policies, data immutability, SSO, and SCIM; lakeFS states that it is SOC 2 compliant and provides audit trails and lineage. It works with AWS S3, Azure Blob, Google Cloud Storage, and on-premises object stores such as MinIO. Integrations include Spark, Trino, DuckDB, Databricks, MLflow, SageMaker, Vertex AI, Kubeflow, Airflow, and Airbyte. Enterprise can run as managed lakeFS Cloud or as a self-managed deployment on-premises, in a private cloud, or in an air-gapped environment. Pricing is on request, and a 15-day trial includes full Enterprise access and support from lakeFS experts.
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.