atlan.com
Link authority for atlan.com (registrable domain: atlan.com) from the Common Crawl web graph: PageRank and harmonic centrality history since 2017, current scores, and the site's top backlink sources.
Web-graph authority (0-100)
Domain scores measure atlan.com as a whole: every subdomain's links rolled up into one node of Common Crawl's domain-level web graph. Host scores measure the exact hostname atlan.com. WWW scores cover the www variant of that hostname, which the graph tracks as its own entry since January 2026 (before that, www and bare host were merged). A big gap between domain and host usually means the domain's authority lives on other subdomains. PageRank is link-endorsement authority: how much weight the sites linking here carry themselves. Harmonic centrality measures reach: how close this site sits to the rest of the web when following links, which favors broadly connected sites over ones boosted by a few heavy linkers. All are normalized 0 to 100 within each crawl snapshot; a dash means that series does not exist for this site.
Homepage
What atlan.com presents on its own homepage: the page title, description, and the social share markup it publishes. Pulled from https://atlan.com.
| Title | Atlan - The Context Layer for AI |
|---|---|
| Description | The missing context layer for enterprise AI. Atlan gives every AI agent the data graph, business logic, and governance to act on trusted data. |
| OG Title | Atlan - The Context Layer for AI |
| OG Description | The missing context layer for enterprise AI. Atlan gives every AI agent the data graph, business logic, and governance to act on trusted data. |
| OG Site Name | Atlan |
| Twitter Card | summary_large_image |
Social accounts and contact points
Where this site maintains a presence and every reachable route its homepage exposes: social accounts, contact pages, addresses, and content feeds.
Structured data (JSON-LD)
The schema.org markup this homepage publishes: the machine-readable identity search engines and AI systems read. Types found: Organization, WebSite, WebPage, FAQPage.
JSON-LD block (10,103 bytes)
{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://atlan.com/#organization","name":"Atlan","legalName":"Atlan Pte. Ltd.","url":"https://atlan.com/","logo":{"@type":"ImageObject","@id":"https://atlan.com/#logo","url":"https://website-assets.atlan.com/img/atlan-blue.svg","width":180,"height":60,"caption":"Atlan Logo"},"slogan":"The missing context layer for enterprise AI.","description":"Atlan is the context layer for enterprise AI. It continuously reads your warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context repos: bounded bundles of context that reflect how your company defines key concepts and makes decisions. These context repos are then exposed through open interfaces (SQL, APIs, SDKs, OSI/MCP-style protocols) so that agents, copilots, and AI applications can call the same trusted context in real time, rather than each team hard-coding its own logic. Human-on-the-loop governance workflows for conflict resolution, deprecation, feedback, and certification keep that context trustworthy as the business, data, and models evolve.","foundingDate":"2019","foundingLocation":{"@type":"Place","name":"Singapore"},"founders":[{"@type":"Person","@id":"https://atlan.com/authors/prukalpa-sankar/#person","name":"Prukalpa Sankar","jobTitle":"Co-founder & Co-CEO","sameAs":["https://www.linkedin.com/in/prukalpa/","https://www.wikidata.org/wiki/Q140315534"]},{"@type":"Person","@id":"https://atlan.com/#varun-banka","name":"Varun Banka","jobTitle":"Co-founder & Co-CEO","sameAs":["https://www.linkedin.com/in/varunbanka/","https://www.wikidata.org/wiki/Q140315581"]}],"sameAs":["https://www.wikidata.org/wiki/Q137792087","https://www.linkedin.com/company/atlan-hq/","https://twitter.com/AtlanHQ","https://www.facebook.com/atlanhq/","https://www.youtube.com/@atlanHQ","https://www.crunchbase.com/organization/atlan-239d","https://www.gartner.com/reviews/vendor/atlan","https://www.g2.com/products/atlan/reviews"],"contactPoint":{"@type":"ContactPoint","contactType":"sales","url":"https://atlan.com/forms/talk-to-sales-contact/"},"knowsAbout":["Enterprise data governance","AI context layer","Metadata management","Data lineage","Context engineering","Data catalog","AI agents for enterprise data","Enterprise data graph","Data observability","Model Context Protocol (MCP)"]},{"@type":"WebSite","@id":"https://atlan.com/#website","name":"Atlan","url":"https://atlan.com/","description":"The missing context layer for enterprise AI.","publisher":{"@id":"https://atlan.com/#organization"},"inLanguage":"en-US"},{"@type":"WebPage","@id":"https://atlan.com/#webpage","name":"Atlan - The Context Layer for AI","description":"The missing context layer for enterprise AI. Atlan gives every AI agent the data graph, business logic, and governance to act on trusted data.","url":"https://atlan.com/","inLanguage":"en-US","dateModified":"2026-04-09","isAccessibleForFree":true,"primaryImageOfPage":{"@type":"ImageObject","url":"https://website-assets.atlan.com/img/home-2026/hp-2026-og.png","width":1200,"height":630},"mainEntity":{"@id":"https://atlan.com/#organization"},"isPartOf":{"@id":"https://atlan.com/#website"},"publisher":{"@id":"https://atlan.com/#organization"}},{"@type":"FAQPage","@id":"https://atlan.com/#faqpage","mainEntity":[{"@type":"Question","name":"What is Atlan?","acceptedAnswer":{"@type":"Answer","text":"Atlan is the context layer for enterprise AI. It sits between your business systems and your AI agents, connecting lineage from data pipelines, business definitions from BI tools and SQL logic, knowledge from SOPs, quality scores, and access policies into a unified context store. Every agent and analyst queries that context store directly — no manual context-building per use case. Gartner named Atlan a Leader in the 2025 Metadata Management and 2026 Data and Analytics Governance Magic Quadrants. Forrester did the same in its 2024 Enterprise Data Catalogs and 2025 Data Governance Solutions Waves. The only platform recognized across all four."}},{"@type":"Question","name":"What does Atlan do for enterprise AI?","acceptedAnswer":{"@type":"Answer","text":"Atlan gives every AI agent the enterprise context it needs: the business definitions behind column names, the lineage behind every output, and the access policies behind every query. Without this, agents hallucinate, misclassify sensitive records, or return answers compliance teams reject. Every AI output is traceable — every answer points back to the data, the definition, and who certified it."}},{"@type":"Question","name":"What is an enterprise context layer?","acceptedAnswer":{"@type":"Answer","text":"An enterprise context layer sits between your business systems and your AI stack. It unifies context from across the business — lineage, semantic definitions, SOPs, access controls, usage patterns — into a single graph that agents and analysts query in real time. Without one, every new agent deployment starts with months of manual context-building. With one, every new agent inherits the organization's full institutional memory on day one."}},{"@type":"Question","name":"How does the context pipeline work?","acceptedAnswer":{"@type":"Answer","text":"Four stages: unify, enrich, certify, activate. Atlan unifies metadata from native connectors — data warehouses, BI tools, pipeline orchestrators like dbt and Airflow. Context Agents auto-generate descriptions, metrics, and business ontology across the full data graph. Human experts review and certify — human-on-the-loop, not out of the loop. Certified context activates to every agent and tool via MCP, SQL, and open APIs. Evals and traces feed back in with each cycle, so context quality compounds over time."}},{"@type":"Question","name":"How does Atlan work with AI agents?","acceptedAnswer":{"@type":"Answer","text":"AI agents get enterprise context through Atlan's MCP server, SQL interface, and open APIs. A query returns the data graph, business definitions, lineage, and access policies for that specific task. Context repos version and package this knowledge, so every new agent starts with the organization's full institutional memory instead of a blank slate. No context hardcoded per use case. No starting over."}},{"@type":"Question","name":"Which enterprise systems does Atlan connect to?","acceptedAnswer":{"@type":"Answer","text":"Atlan connects natively to 80+ enterprise systems: Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, Tableau, Looker, Power BI, and Postgres, among others. Once connected, lineage, query history, BI semantics, tags, and quality signals flow in automatically through scheduled and event-based workflows — no manual mapping required. Atlan also layers on top of existing catalogs like Microsoft Purview and Snowflake Horizon, pulling their metadata into a unified context layer."}},{"@type":"Question","name":"Who uses Atlan?","acceptedAnswer":{"@type":"Answer","text":"Atlan is deployed at enterprises including General Motors, Workday, Nasdaq, Mastercard, and Virgin Media O2. AI leaders use it to give agents governed access to enterprise context. Data engineers automate lineage and discovery. Governance teams enforce policies at the asset level. AI platform teams build and deploy agents faster because business logic is already in the context layer — not scattered across prompt files and wikis."}},{"@type":"Question","name":"What analyst recognition has Atlan received?","acceptedAnswer":{"@type":"Answer","text":"Atlan is the only platform named a Leader in all four major analyst evaluations for metadata and data governance: Gartner's 2025 Metadata Management Magic Quadrant, Gartner's 2026 Data and Analytics Governance Magic Quadrant, Forrester's 2024 Enterprise Data Catalogs Wave, and Forrester's 2025 Data Governance Solutions Wave. No other platform has been recognized across all four."}},{"@type":"Question","name":"How does Atlan work alongside my existing data tools?","acceptedAnswer":{"@type":"Answer","text":"Atlan layers on top of your existing data stack. Many enterprises run Atlan alongside Microsoft Purview or Snowflake Horizon or Databricks Unity Catalog — pulling metadata from all into a unified context layer rather than rebuilding from scratch. Built on open APIs and Iceberg-native formats, context stored in Atlan stays portable: it is not locked to any vendor's proprietary schema. Switch AI frameworks, add new systems, or consolidate tools — the context layer moves with you."}},{"@type":"Question","name":"How does Atlan approach context engineering?","acceptedAnswer":{"@type":"Answer","text":"Context engineering is the practice of selecting, structuring, and delivering the specific knowledge an AI agent needs at each step of a task. Most teams do this manually for each agent — months of work, duplicated across every use case. Atlan automates it: context from 80+ systems is unified, Context Agents auto-generate descriptions, metrics, and ontology across the full data graph, human experts certify, and certified context activates via MCP, SQL, and APIs. In April 2026, Context Agents generated 690K+ descriptions across 50+ enterprise customers — 87% rated on par or better than human writing. Every eval and trace feeds back in. Context quality compounds with each cycle."}},{"@type":"Question","name":"How do teams get started with Atlan?","acceptedAnswer":{"@type":"Answer","text":"Start with a Context Workshop: Atlan's team maps your data and AI architecture, designs a context layer for a priority use case, and sets a measurable baseline. From there, a four-week Context Sprint delivers a working agent and accuracy results you can compare directly against your current approach. Most teams see the first value in weeks."}}]}]}Authority over time
Every Common Crawl web-graph release since 2017, roughly quarterly. The domain series goes back to 2017; Common Crawl only began publishing the host-level graph in 2020, so host lines start there. Click a legend entry to show or hide that line. Flat lines are normal for established sites; watch for sustained rises or drops, which track real gains or losses in who links here.
A note on www: through the end of 2025 the source web graph merged www and non-www hostnames into the bare name, so one host line covers both. Starting in January 2026 the graph splits them into separate entries, which is why www can carry its own scores going forward.
Backlink counts
Unique linking domains seen in Common Crawl's link graphs. This is a different dataset than the 0-100 authority scores above: these are raw counts, host-level for atlan.com and domain-level for atlan.com with all its subdomains combined. Common Crawl covers a large sample of the web, not all of it, so treat counts as comparable between sites rather than absolute totals.
Top backlinks in the domain graph
Common Crawl publishes two link graphs. The DOMAIN graph connects whole domains: every link from any page of one domain to any page of another. This table shows the highest-authority domains linking to atlan.com (including its subdomains), ranked by the linker's PageRank. The table shows the top 1,000; the download carries the full stored list (up to 10,000 linkers) as JSON. Click a linker for its own site profile.
Top backlinks in the host graph
The HOST graph connects exact hostnames, so subdomains count separately. This table shows the highest-authority hosts linking to atlan.com specifically, ranked by the linker's PageRank. The table shows the top 1,000; the download carries the full stored list (up to 10,000 linkers) as JSON. Click a linker for its own site profile.