DataArts Lake Formation
Enterprise data lake metadata and permission management service
At a glance
- Editor score6.0 / 10
- PricingPaid
- Best forHuawei ecosystem metadata governance
- Deployment modelCloud
- Founded2017 · Gui'an New District, Guizhou, China
- Facts checked22 Sep 2026
Where it wins
- Fine-grained controls span catalogs, tables, columns, functions, and OBS paths
- Hive and Ranger compatibility support established governance models
- Integrates with Huawei analytics, AI, warehouse, and data studio services
Where it doesn't
- Paid usage billing can make costs depend on metadata objects and API calls
- Its strongest fit is for organizations built around Huawei Cloud services
- LakeFormation’s core positioning centers on governance rather than data processing
Our verdict on DataArts Lake Formation
DataArts Lake Formation is a cloud service for building and operating data lakes, with a focus on centralized metadata management, governance, permissions, and cross-service sharing. It is designed for organizations using Huawei Cloud analytics and big-data services, including MRS, DWS, DLI, ModelArts, and DataArts Studio. Teams can manage catalogs, databases, tables, functions, and data-access policies through a web console, REST APIs, and SDKs. Its deployment model is serverless, with elastic scaling and cross-AZ deployment.
The standout capability is governance depth. Permissions can be applied at the catalog, database, table, column, function, and OBS path levels, giving administrators fine-grained control over data access. Hive metadata model compatibility supports existing catalog structures, while Ranger permission model compatibility and synchronization APIs provide a path for organizations with Ranger-based governance practices. Connected compute engines can share metadata across services, which suits environments where multiple Huawei Cloud workloads need consistent definitions and access policies.
Pricing uses a paid, pay-per-use plan. LakeFormation instances are billed according to usage, with metadata objects and API calls treated as billable items; billing is calculated by the second and settled hourly. The published plan also describes free usage allowances. This model may suit variable workloads, but teams will need to track both service activity and governance-object growth. DataArts Lake Formation is a strong choice for Huawei-centered data-lake governance and multi-engine metadata management. Organizations seeking a standalone platform with a primary emphasis on ingestion or query execution should evaluate alternatives focused on those workloads.
DataArts Lake Formation pricing
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DataArts Lake Formation fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Deployment model | Cloud |
| Ingestion modes | Not verified |
| Metadata catalog | Yes |
| Governance controls | Yes |
| Query interface | Not verified |
| Open table formats | Not verified |
| Data sharing | Yes |
| Deployment | Cloud |
| Platforms | Web |
| Support | Docs |
| Built for | Enterprise, Mid-market (editorial estimate) |
| Integrations | 8 integrations: MapReduce Service (MRS), Data Warehouse Service (DWS), Data Lake Insight (DLI), ModelArts, DataArts Studio, GaussDB(DWS) … |
| Pricing | Paid (source) |
| Website | huaweicloud.com |
| Facts checked | 22 Sep 2026 |
DataArts Lake Formation integrations
DataArts Lake Formation lists 8 integrations on its own site.
- MapReduce Service (MRS)
- Data Warehouse Service (DWS)
- Data Lake Insight (DLI)
- ModelArts
- DataArts Studio
- GaussDB(DWS)
- Hive
- Spark
Alternatives to DataArts Lake Formation
- AWS Lake FormationA deep AWS-native governance layer for organizations building managed data lakes on Amazon S3.—
- Cloudera Data Lake ServiceA mature hybrid data lake service for enterprises needing governance, lineage, and Iceberg support.—
- Baidu EasyDAPA broad governed data platform for multi-source batch, streaming, SQL, and data services.7.0
See all DataArts Lake Formation alternatives →
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