Azure Table Storage vs Unilake

Azure Table Storage has no write-up on Specifiction yet; its figures are above.

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.