Alternatives to Tencent Cloud Data Lake Compute (DLC)

HPCC Systems

HPCC Systems suits organizations with enterprise big-data workloads that need data-lake management and parallel processing.

It suits teams diagnosing performance and errors across microservices and other application architectures.

Apache Ozone

Ozone suits teams building lakehouse, AI/ML, cloud-native, or Hadoop ecosystem storage.

Parseable

Parseable suits teams that need to collect and inspect logs, metrics, and traces across self-hosted, cloud, or enterprise deployments.

The platform suits data analysts, engineers and scientists working across on-premises, cloud and edge deployments.

lakeFS is aimed at data engineers, data scientists, ML engineers, ML platform teams, and agentic AI initiatives that need versioned, governed data.

Oracle Big Data Service

It suits organizations creating Hadoop data lakes, whether for specific short-lived tasks or ongoing data management.

Qubole

Qubole suits teams building data engineering, streaming, machine-learning, or analytics workloads across supported cloud providers.

Cloudera Data Lake Service

The service suits organizations that need governance, metadata controls, and auditing for data lake workloads.

Unilake

Unilake suits teams seeking an open-source data platform with broad deployment choices, lakehouse-format support, and built-in governance.

GooseFS suits data-analysis, machine-learning, and AI workloads needing cache acceleration across cloud and local storage.