Datastrato Iceberg Lakehouse Platform vs MetaKarta

Datastrato Iceberg Lakehouse Platform is a federated metadata catalog for connecting data sources and governing access across clients. Built on Apache Gravitino and Iceberg REST Catalog, it provides a standards-compliant REST catalog with metadata caching and table maintenance for production lakehouses. It can register Iceberg, Hive, Glue, relational databases, Kafka, filesets, and models in place without copying metadata. Spark, Flink, Trino, and Dremio are named Iceberg catalog clients, and the same namespace resolves across BigQuery. Governance includes catalog-level role-based access, row filtering, column masking, tag-based policies, and auditing across engines and agents. S3, GCS, and ADLS are supported with short-lived scoped credentials per principal. Agents can use an MCP metadata interface and GVFS under the same access controls. Per-table compaction, snapshot expiry, and orphan cleanup jobs can be sent to Airflow, Kubernetes, EMR, or Databricks. Enterprise is installed with a Helm chart in Kubernetes and activated by license key. Pricing is on request; the commercial distribution includes support with a defined response commitment and maintained release line.

MetaKarta is an enterprise metadata management platform built around one shared repository for lineage, cataloging, governance, and semantic definitions. Its lineage capability parses SQL, Python, Informatica mappings, SSIS packages, stored procedures, and COBOL copybooks to calculate column-level lineage. The catalog attaches business context to technical metadata harvested from data systems; governance applies ownership, versioning, and policy at the point of use and retains change history for audits. Semantic Hub compiles governed business definitions into native database and BI formats and provides compiled context for AI agents. Meta Integration states that MetaKarta has more than 400 native connectors. Customer-managed deployment can run on-premises or in private or public cloud environments, including AWS, Azure, and GCP. The platform provides REST API access and an administrator-enabled Model Context Protocol server. Licensing uses concurrent-user packs with producer and consumer roles, and editions include unlimited metadata assets. Pricing is on request, with no free plan. Data Lineage Starter and Semantic Hub Starter each cost $50 a year.