Comparisons anchored on OpenMetadata, the Apache-2.0 metadata catalog for discovery, lineage and governance.
Two Apache-2.0 metadata catalogs with different architectures: OpenMetadata's server with a database, search and Airflow ingestion against DataHub's Kafka-based streaming design. Weighs footprint, ingestion model, governance features and operating effort.
Which OpenMetadata deployment fits: local Docker for evaluation, Kubernetes with the official Helm charts on EKS, AKS, GKE or on premises, or bare metal on self-managed servers. Covers the dependencies every production install connects to (MySQL or PostgreSQL, Elasticsearch or OpenSearch, an ingestion orchestrator), minimum sizing and the versions required.
Whether to self-host Apache-2.0 OpenMetadata or buy Collate, the managed service from its maintainers: Collate's user and data asset limits per tier, the SaaS, Hybrid SaaS and BYOC deployment models, Collate-only AI features, the uptime SLA and the stated path back to OpenMetadata.
For teams still running Amundsen, which was archived in September 2026 with no service release since March 2024: how OpenMetadata compares on discovery, lineage, glossary and governance, what OpenMetadata's Amundsen connector ingests from Amundsen's Neo4j backend, and what a cutover involves for ingestion jobs, search and users.
The three open-source data catalogs most often shortlisted, compared now that Amundsen is archived: architecture and dependencies (Neo4j or Atlas, Kafka, Elasticsearch or OpenSearch, Airflow ingestion), ingestion model, lineage and governance depth, maintenance status, and whether OpenMetadata or DataHub fits better as Amundsen's replacement.
For teams replacing a Hadoop-era Apache Atlas catalog: Atlas's JanusGraph, HBase and Solr stack, Hive and Kafka hooks and Ranger integration against OpenMetadata's modern connectors, UI and governance features. Covers release activity, the infrastructure each needs and what moving from Atlas involves.
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