HPE Ezmeral Data Fabric vs Tencent Cloud Data Lake Compute (DLC)

HPE Ezmeral Data Fabric consolidates data from on-premises systems, multiple clouds and edge deployments into one logical store. It supports files, object data, NoSQL databases and streams, with transaction support, strong consistency, multi-region support and horizontal scaling. Application developers can use standard APIs, languages and protocols. Its object store provides S3 API access, WORM compliance, events delivered to data streams and compatibility with open-source AWS S3 and Minio SDKs. Analytics integrations include Apache Spark, Apache Drill, Presto and S3 Select, while certified open-source tools and engines can run directly on the fabric for in-place analytics. Security capabilities include FIPS 140-2 Level 1 support when FIPS mode is enabled and dynamic masking of designated fields in JSON queries. A community edition is available, and an enterprise 30-day trial license can be requested. The community edition has limited nodes, no high availability or technical support, lacks advanced storage options such as snapshots and global replication, and is not intended for production. Pricing is on request; as-a-service monthly charges depend on storage use and selected tier.

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.