Tencent Cloud Application Performance Management vs Unilake

Tencent Cloud Application Performance Management (APM) monitors application performance through metrics, traces and logs, and supports analysis and troubleshooting across distributed architectures. It uses probes to monitor applications in real time without code modifications. Traces map request paths across microservices and can include request parameters, transaction data, errors, exceptions, method stacks and instance environment details. APM also discovers application dependencies and shows global topologies for examining application and component bottlenecks.

Its analysis groups performance and exception metrics by dimensions such as API, exception and database call, helping identify slow APIs, SQL statements and recurring exceptions. Named database integrations include MySQL, Oracle, MongoDB and Redis. APM supports OpenTelemetry and works with SkyWalking and Jaeger tracing protocols when reporting configuration is changed. It can associate traces with Cloud Log Service logs, display Cloud Monitor dashboards, and send traces to CKafka with configuration and permissions. Applications outside Tencent Cloud can connect when network access is available. New users receive a 15-day trial, limited to 100 million reported Spans and seven-day trace storage; pay-as-you-go also lists one million Spans per day free for reporting and retention. Pricing includes a $0.02 a month pay-as-you-go rate billed hourly per million Spans reported, plus retention at 0.012 USD per million Spans per day.

Unilake is an open-source platform for integrating, managing, governing, and querying data across a unified lakehouse. It supports more than 350 pre-built connectors, plus custom integrations built with Unilake, Airbyte, or Meltano SDKs, including a low-code option. Loads can be full or incremental, with streaming ingestion, API flattening, privacy transformations, and SCD type 2 tables. Its query interface can combine Iceberg, Delta, Hudi, Kudu, and Paimon data; analytics use StarRocks and support SQL, object storage, and REST API endpoints. Management features include cataloging, search, lineage, data-quality checks, and automated classification. Governance includes attribute-based and context-aware controls, policies as code, and just-in-time access. Unilake supports SAML 2.0 or OpenID Connect, SCIM provisioning, exportable audit logs, and customer-managed keys. Deployment options range from public, private, and hybrid cloud to on-premises, with Kubernetes and storage among the minimum requirements. The project is in active development and working toward an Alpha release; its AI/ML product is on the roadmap. It is licensed under AGPL 3.0 and EUPL 1.2.