Alation

Alation helps enterprises discover and govern their data with AI-powered cataloging.
Series E $340M total Founded 2012 Redwood City, California 730 employees
Alation is an agentic data intelligence platform that automatically catalogs, organizes, and makes enterprise data discoverable through machine learning and natural language processing. It solves the critical problem that 60-73% of enterprise data goes unused because teams can't find or understand what data they have. The platform provides end-to-end data lineage, governance, and trust signals across 120+ connectors, enabling data teams to work faster and organizations to unlock trapped analytics value.
Problem solved
Enterprises lose competitive advantage because 60-73% of their data goes unused—teams are overwhelmed by data volume and lack visibility into what data exists, its quality, lineage, and proper usage.
Target customer
Mid-market to enterprise companies with complex data infrastructure (Snowflake, Redshift, BigQuery, Teradata) seeking data governance, analytics enablement, and compliance solutions.
Founders
S
Satyen Sangani
CEO & Co-Founder
Former Oracle executive who ran Financial Services Warehousing business; worked at Morgan Stanley and Texas Pacific Group; B.A. Economics (Columbia), M.Sc. Economics for Development (Oxford).
A
Aaron Kalb
Co-Founder
Symbolic systems expert who worked on Siri at Apple; brought crowdsourcing approach to data discovery.
V
Venky Ganti
Co-Founder
Former Senior Researcher at Microsoft, Member of Technical Staff at Google, co-founder/CEO of Mesh Dynamics; IIT Madras and University of Wisconsin-Madison graduate.
F
Feng Nui
Co-Founder
Funding history
Seed Unknown March 2013 Led by Unknown · Unknown
Series A $9M March 2015 Led by Costanoa Ventures, Data Collective · Andreessen Horowitz, General Catalyst, Bloomberg Beta
Series B Unknown July 2017 Led by Unknown · Icon Ventures
Series C Unknown January 2019 Led by Unknown · Sapphire Ventures, ISAI
Series D $110M June 2021 Led by Riverwood Capital · Sanabil Investments, Snowflake Ventures, Costanoa Ventures, Dell Technologies Capital, Salesforce Ventures, Sapphire Ventures
Series E $123M November 2022 Led by Thoma Bravo, Sanabil Investments, Costanoa Ventures · Databricks Ventures, Dell Technologies Capital, Hewlett Packard Enterprise, Icon Ventures, Queensland Investment Corporation, Riverwood Capital, Salesforce Ventures, Sapphire Ventures, Union Grove
Total raised: $340M
Pricing
Tiered licensing model based on user personas (Creators, Stewards, Viewers) with base subscription starting at $60k–$198k/year. Average cost approximately $60k–$75k annually for 25 users. Additional fees for data source connectors. Implementation costs range from $10k–$50k (SMB) to $100k+ (enterprise). Exact pricing requires sales consultation.
Integrations
Snowflake, Redshift, BigQuery, Teradata, Hive, Presto, Spark, Salesforce, DBT, 120+ data connectors
Tech stack
GSAP (JavaScript frameworks) jQuery Mobile (Mobile frameworks) Slick (JavaScript libraries) Select2 (JavaScript libraries) jQuery Migrate (JavaScript libraries) jQuery UI (JavaScript libraries) Isotope (JavaScript libraries) core-js (JavaScript libraries) Bootstrap (UI frameworks) MySQL (Databases) Google Maps (Maps) Revslider (WordPress plugins) webpack Popper DocuSign WordPress (Blogs) AddThis (Widgets) Moat (Analytics) Linkedin Insight Tag (Analytics) HubSpot Analytics (Analytics) Engagio (Analytics) Quora Pixel (Analytics) Matomo Analytics (Analytics) Hotjar (Analytics) Google Analytics (Analytics) Facebook Pixel (Analytics) Dreamdata (Marketing automation) Demandbase (Analytics) Crazy Egg (Analytics) Unbounce (Editors) Nginx (Reverse proxies) PHP (Programming languages) Google Workspace (Email) Cloudflare (CDN) Unpkg (CDN) jQuery CDN (CDN) cdnjs (CDN) jsDelivr (CDN) Marketo (Marketing automation) HubSpot (Marketing automation) MailChimp (Marketing automation) Reddit Ads (Advertising) Twitter Ads (Advertising) Microsoft Advertising (Advertising) Google Tag Manager (Tag managers) Divi (Page builders) Salesforce (CRM) Yoast SEO (SEO) Yoast SEO Premium (SEO) Amazon Web Services (PaaS) WP Engine (PaaS) OneTrust (Cookie compliance) Google Optimize (A/B Testing) ProfilePress (WordPress plugins)
Website
Competitors
Collibra
Broader data governance platform with stronger compliance focus; Alation emphasizes AI-driven discovery and agentic capabilities.
Apache Atlas
Open-source alternative; Alation offers enterprise SaaS with managed connectors and superior NLP/ML-powered search.
Informatica
Broader data integration and MDM platform; Alation focuses specifically on data cataloging and intelligence.
Talend
Strong in data integration and ETL; Alation specializes in metadata management and data discovery.
Why this matters: Alation is a unicorn ($1.7B valuation) that solved a massive market pain—the majority of enterprise data goes unused due to discovery and trust issues. Its transition from data catalog to an 'agentic data intelligence platform' positions it at the intersection of AI and data governance, a strategic battleground as enterprises race to unlock analytics value.
Best for: Enterprise organizations with sprawling data infrastructure who need teams to quickly find, understand, and trust data for analytics and compliance without manual data cataloging efforts.
Use cases
Data Discovery for Analytics Teams
Analytics teams spend weeks finding relevant datasets across disparate sources. Alation's NLP-powered search and ML-driven recommendations let analysts find the right data in minutes, then understand its lineage, quality, and permissions instantly. This accelerates time-to-insight and reduces duplicate metric definitions.
Data Governance & Compliance
Regulated enterprises (finance, healthcare) struggle to prove data lineage, ownership, and usage for audits. Alation's end-to-end lineage tracking, policy enforcement, and audit trails provide compliance-ready documentation without manual effort, reducing governance overhead.
Stewardship & Data Quality
Data stewards manage metadata and quality issues reactively. Alation's active metadata and crowdsourced definitions let stewards proactively track data health, flag stale datasets, and collaborate on quality improvements across the organization.
BI & Analytics Democratization
Business users can't self-serve analytics because they don't know what data exists or trust its quality. Alation's trust signals, usage insights, and search capabilities empower non-technical users to find and use reliable data independently.
Alternatives
Collibra Choose Collibra for broader governance frameworks and stronger compliance orchestration; choose Alation for faster, AI-driven data discovery and agentic capabilities.
Apache Atlas Choose Atlas for open-source, cost-free deployment; choose Alation for managed SaaS, superior NLP search, and enterprise support.
Informatica Intelligent Data Management Cloud Choose Informatica for integrated data integration + governance; choose Alation if you need best-in-class discovery and cataloging with lighter implementation.
FAQ
What does Alation do? +
Alation is an AI-powered data intelligence platform that automatically catalogs enterprise data, makes it discoverable via natural language search, and provides governance, lineage, and quality insights. It connects to 120+ data sources and uses machine learning to interpret metadata and help teams find the right data quickly. The platform evolved from a data catalog to an agentic intelligence system that powers data-driven decision-making.
How much does Alation cost? +
Alation pricing is not publicly listed. Base subscription starts at approximately $60k–$198k annually, with the average around $60k–$75k for 25 users. Costs scale by user tier (Creators, Stewards, Viewers) and vary by data source connectors. Implementation ranges from $10k–$50k (SMB) to $100k+ (enterprise). Contact sales for a custom quote.
What are alternatives to Alation? +
Key alternatives include Collibra (broader governance platform), Apache Atlas (open-source cataloging), Informatica (integrated data management), and Talend (data integration focus). Collibra emphasizes compliance and governance; Atlas is cost-free but less managed; Informatica is broader but less specialized in discovery.
Who uses Alation? +
Mid-market to enterprise organizations across finance, healthcare, retail, and tech with complex data environments. Target users include data stewards, analytics teams, compliance officers, and business users. Specific customer names are not publicly disclosed.
How does Alation compare to Collibra? +
Both catalog data and enable governance, but Alation emphasizes AI-driven discovery with superior NLP search and ease-of-use, while Collibra is stronger in comprehensive governance frameworks and compliance orchestration. Alation is faster to deploy for discovery use cases; Collibra suits complex, regulated multi-stakeholder governance programs.
Tags
data cataloging data governance data discovery machine learning metadata management analytics data lineage enterprise search