The #1 Open Source Context Layer
OpenMetadata (open-metadata.org) scores 70 out of 100 on Brand Analyzer, placing it in the Developing tier among SaaS brands, Technology brands, in the 24th percentile of 35024 SaaS brands.
OpenMetadata is an open-source platform that functions as a unified metadata, semantics, and knowledge-graph layer for data and AI systems. It combines data cataloging, discovery, quality, observability, governance, lineage, and collaboration features into a single platform. Built by the founders of Apache Hadoop, Apache Atlas, and Uber Databook, it is designed to give both people and AI systems a shared, trusted understanding of organizational data. It targets data engineers, platform teams, and AI/ML practitioners seeking unified governance and AI-ready metadata infrastructure.
| Brand Name | OpenMetadata |
|---|---|
| Domain | open-metadata.org |
| Industry | SaaS, Technology |
| Main Competitors | Atlan (88/100), Collibra (85/100), Alation (90/100), DataHub (80/100), Apache Atlas, Amundsen (70/100) |
Moz Domain Authority 34/100 vs category average 37 / leader 99 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #650,895 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "OpenMetadata is the open-source AI context layer - powered by metadata, semantics, and memory that give people and AI a shared, rich understanding of your data. Built by the founde…" (Meta description: 52 words. OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt mentions GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Next.js.
Social footprint: verified profiles on YouTube, GitHub, X (Twitter), LinkedIn, Instagram; no detected presence on Facebook - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked September 2026.
When asked "What is OpenMetadata?", Claude could identify the brand as of September 2026. OpenMetadata is an open-source platform for metadata management, data discovery, and data governance, providing a unified schema and central metadata store that connects to databases, dashboards, pipelines, and ML models. It helps organizations catalog their data assets, track li Best known for Open-source unified metadata platform with a single schema for data discovery, lineage, and governance across the modern data stack.
When asked "Best brands similar to OpenMetadata?", Claude would recommend OpenMetadata as of September 2026. It's a well-regarded open-source alternative to commercial data catalog tools like Collibra or Alation, so I'd mention it for teams wanting an extensible, community-driven metadata solution.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
OpenMetadata's main competitors in SaaS: Atlan (88/100), Collibra (85/100), Alation (90/100), DataHub (80/100), Amundsen (70/100).
Sources: Brand Analyzer scan
OpenMetadata offers a unified platform covering data cataloging, data discovery, data quality management, data observability, data governance, data lineage tracking, and team collaboration features. It also functions as a registry for metadata schemas and application profiles, and serves as a shared knowledge graph combining metadata, semantics, and organizational memory for use by both people and AI systems.
Sources: OpenMetadata official site
OpenMetadata is an open-source platform described as an 'AI context layer' that unifies metadata, semantics, and organizational memory into a shared knowledge graph. It serves as a registry for metadata schemas and application profiles, and provides a single platform for data cataloging, discovery, quality, observability, governance, lineage, and collaboration. It was built by the founders of Apache Hadoop, Apache Atlas, and Uber Databook.
Sources: OpenMetadata official site
OpenMetadata has limited AI-search visibility, scoring 33/100 on Brand Analyzer's AI visibility composite (visibility 18, trust 32, recommendation 60). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: OpenMetadata official site
OpenMetadata unifies technical metadata, business semantics, and organizational context into a single knowledge graph so that both humans and AI systems can share a common, trusted understanding of an organization's data. It supports data cataloging, discovery, data quality checks, observability, governance, lineage tracking, and team collaboration around data assets, functioning as infrastructure for AI-ready metadata management.
Sources: OpenMetadata official site
OpenMetadata scores 60/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority.
Sources: OpenMetadata official site
OpenMetadata is known for being an open-source unified metadata platform that combines cataloging, discovery, governance, lineage, and quality tools into one system. It is also known for being built by the founders of major open-source data projects-Apache Hadoop, Apache Atlas, and Uber Databook-and for positioning itself as a large, fast-growing open-source 'context layer' for data and AI.
Sources: OpenMetadata official site
OpenMetadata can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: OpenMetadata official site
OpenMetadata is used by data engineers, data platform teams, and AI/ML practitioners at organizations that need unified data governance, discovery, and AI-ready metadata infrastructure.
Sources: OpenMetadata official site
OpenMetadata scores 33/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
OpenMetadata has a weak AI-visibility profile at 33/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (60/100) and its weakest is visibility (18/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #650,895 (Tranco) and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, a low Moz Domain Authority of 34/100 and thin schema.org structured data. In a live check, Claude could already identify OpenMetadata from memory (September 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to OpenMetadata: OpenLiteSpeed (70/100), openLCA (70/100), OpenSpecimen (70/100), OpenView Venture Partners (70/100).
A step up - brands to learn from: 作业帮 (Zuoyebang) (71/100), ZXing (71/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.