Companies that use Alation

Source: Analysis of 100 job postings that mention Alation

I noticed that Alation buyers are predominantly data and analytics leadership roles, with Director-level positions in Data Management (16%), Data Governance (14%), and Analytics (9%) making up 39% of decision-makers. These leaders are responsible for enterprise-wide data strategy, with priorities around building trusted data foundations, enabling AI readiness, and establishing governance frameworks. The postings reveal organizations investing heavily in data catalog adoption, metadata management, and creating what one company calls a "data-driven culture" across their enterprises.

The day-to-day users span a broader range of technical roles, including Data Engineers (11%), Data Management Specialists (17%), and hands-on practitioners like Data Stewards, Data Governance Analysts, and Data Architects. These individuals use Alation for maintaining data catalogs, documenting data lineage, managing metadata, ensuring data quality, and enabling self-service analytics. Several postings specifically mention Alation alongside tools like Snowflake, Databricks, AWS, and dbt, indicating it serves as the discovery and governance layer connecting diverse data platforms.

The core pain points center on data trust and accessibility. Companies seek to deliver "trusted, governed, and compliant enterprise data" and ensure "data is accurate, accessible, secure, and aligned with business objectives." Multiple postings emphasize creating "AI-ready data assets," "self-service analytics," and "data democratization." One recurring theme is the need to "empower customers to scale data-driven innovation with confidence and speed," revealing that organizations view Alation as critical infrastructure for accelerating analytics maturity and enabling AI initiatives across their businesses.

Source: Analysis of Linkedin bios of 242 companies that use Alation

I noticed that Alation's customers are predominantly large, established enterprises operating critical infrastructure and services. These aren't software startups. They're organizations running essential operations: hospitals delivering patient care, utilities powering homes, banks managing financial transactions, retailers operating hundreds of locations, and manufacturers building physical products. Many are in heavily regulated industries like healthcare, financial services, energy, and insurance where data governance and compliance are non-negotiable.

These are mature enterprises, often with decades of history. Many explicitly mention their longevity: Kwik Trip since 1965, Land O'Lakes celebrating years, Donegal Insurance spanning nearly 130 years. The employee counts tell the story too, with most having 1,000 to 10,000+ employees and many operating across multiple states or countries. The funding stages confirm this: most show no recent funding rounds or are post-IPO, indicating they're established players generating their own capital rather than chasing venture funding.

Source: Analysis of tech stacks from 242 companies that use Alation

I noticed that companies using Alation are clearly enterprise-scale organizations with sophisticated governance and compliance requirements. The presence of tools like AuditBoard, ServiceNow, and SailPoint Identity Cloud tells me these are large, regulated companies that take data security and operational oversight seriously. They're likely in industries like financial services, healthcare, or manufacturing where data governance isn't optional but mandated.

The pairing of Alation with AuditBoard is particularly revealing. When a company invests in both data cataloging and audit management, they're building systematic controls around how data flows through their organization. Add SailPoint for identity management, and you see a complete picture of companies that need to know exactly who accessed what data and when. The appearance of Proofpoint Security Training reinforces this: these organizations are training employees on security protocols because the cost of a data breach is existential. The Qualtrics correlation suggests they're also using data strategically for customer experience and employee feedback, not just storing it.

The full stack reveals mature, operations-led organizations rather than fast-moving startups. These companies have moved past the "move fast and break things" phase into "document everything and prove compliance." ServiceNow appearing 687 times more frequently than average signals these are companies with formal IT service management processes and likely dedicated data teams. They're at a growth stage where they have enough data that finding and trusting it has become a real problem worth solving with enterprise software.