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Brief
Alteryx

Alteryx

Analytics Automation & Data Preparationalteryx.com

Alteryx empowers analysts and data professionals to automate complex analytics workflows through a low-code/no-code platform, dramatically reducing time-to-insight and enabling data-driven decisions at scale.

Last updated Jun 25, 2026 by ATDb automated enrichment

Founded
1997
HQ
Irvine, California, United States
Connections
26

At a glance

Employees
1001-5000
Funding
$4.4B (take-private acquisition by Clearlake Capital and Insight Partners, 2024)
Revenue
$900M–$1B
Stock
NYSE:AYX
20integrations2competitors1corporate family1acquisitions

About

A market leader in self-service analytics automation, competing with data integration and BI platforms; taken private in 2024 at a ~$4.4B valuation

Alteryx is a leading analytics automation platform that enables organizations to streamline and automate end-to-end data analytics workflows. Its flagship Designer product allows business analysts, data scientists, and IT professionals to build repeatable workflows for data preparation, blending, enrichment, and predictive analytics without requiring deep coding expertise. The platform bridges the gap between technical and non-technical users, democratizing access to advanced analytics across the enterprise. Founded in 1997 and headquartered in Irvine, California, Alteryx went public in 2017 and built a strong customer base across industries including financial services, healthcare, retail, and manufacturing. The company's platform integrates with a wide range of data sources, cloud platforms, and business intelligence tools, making it a central hub for enterprise analytics pipelines. In 2024, Alteryx was taken private by Clearlake Capital Group and Insight Partners in a deal valued at approximately $4.4 billion. While Alteryx is not a pure-play AdTech company, it is widely used within marketing and advertising organizations for audience analytics, campaign performance analysis, customer segmentation, and data-driven decision-making. Its ability to automate complex data workflows makes it particularly valuable for marketing analytics teams managing large volumes of first-party and third-party data, positioning it as a key enabler in the broader data and analytics ecosystem that underpins modern advertising technology.

Business model

SaaS

Target market

Enterprise

What they offer

  • Alteryx Designer

    Core drag-and-drop workflow builder for data preparation, blending, transformation, and advanced analytics with 300+ pre-built tools.

  • Alteryx Server

    Enterprise-grade platform for scheduling, sharing, and governing analytic workflows at scale across an organization.

  • Alteryx Analytics Cloud

    Cloud-native analytics platform integrating data preparation, machine learning, and reporting capabilities in a unified environment.

  • Alteryx Auto Insights

    AI-powered automated insights tool that surfaces anomalies, trends, and key drivers from data without manual analysis.

  • Alteryx Intelligence Suite

    Add-on suite providing AI/ML capabilities including natural language processing, computer vision, and predictive modeling tools.

  • Alteryx Connect

    Data cataloging and collaboration tool that helps organizations discover, understand, and govern their data assets.

Key features

Low-code/no-code drag-and-drop workflow designer300+ pre-built data connectors and transformation toolsAutomated machine learning (AutoML) capabilitiesSpatial and geographic analyticsRepeatable, schedulable workflow automationIn-database processing for large-scale dataNatural language processing and text analyticsCollaboration and workflow sharing across teamsData governance and lineage trackingIntegration with Python, R, and SQL

Use cases

Marketing analytics and campaign performance measurementCustomer segmentation and audience profilingFinancial reporting and regulatory compliance automationSupply chain and operational analyticsHR and workforce analyticsFraud detection and risk modelingData migration and ETL automationPredictive modeling and forecasting

Customer segments

Enterprise financial services and bankingHealthcare and life sciencesRetail and consumer goodsManufacturing and supply chainMarketing and advertising analytics teamsGovernment and public sectorConsulting and professional services firms

Tech & specs

Technology stack

C++ (core engine)Python integrationR integrationSQLSpark (in-database processing)REST APIAWSMicrosoft AzureGoogle Cloud PlatformSnowflake

Security & compliance

SOC 2 Type IIGDPRCCPAISO 27001HIPAAFedRAMP (in progress)

Deployment

CloudOn-premiseHybrid

API

Yes

Explore further

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