Overview
Alteryx One is described on the company's site as an AI-powered, governance-first analytics platform that supports drag-and-drop workflows, automation, and deployment across cloud, on-premises, and hybrid environments. Core capabilities include a no-code/low-code workflow designer for data preparation, blending, and transformation; automated analytics and AutoML; feature engineering and model building; GenAI/AI Copilot and an AI Data Clearinghouse to safely connect enterprise data to LLMs; support for semi-structured and unstructured data (PDFs, images, text); connectors to major cloud data platforms (e.g., Snowflake, Databricks); scheduling, orchestration, API triggers, analytics apps and app sharing; governance, security and enterprise controls (including references to FIPS-compatible variants); and a marketplace of add-ons (Alteryx Intelligence Suite, AI Builder, Data Packages, etc.). Pricing on the site is presented as tiered editions (Starter, Professional, Enterprise) with a per-user billing model shown as a monthly rate billed annually; numeric rates were not consistently captured by automated extraction and may vary by region or be gated. The site surfaces CTAs such as "Try for free," but a canonical free-trial statement (length or limits) was not conclusively captured on the pricing page by the extractor. Support and documentation are available via help.alteryx.com and the community at community.alteryx.com. Contact and global office information are listed on the Contact page. Company background material captured from the public About page and other public sources indicates origins tracing to SRC LLC (1997) with founders including Dean Stoecker, Olivia Duane Adams, and Ned Harding; the company completed an IPO in 2017 and was announced as being taken private by a private-equity consortium (Clearlake/Insight) in 2024 — users should consult current corporate filings for the latest corporate status. Extraction caveats: the automated extraction encountered some SSL/verification issues for a few pages and did not consistently capture specific numeric pricing values; for procurement or budgeting, request an official quote via the site's pricing/contact paths and confirm trial details with sales.
Key Features
No-code/Low-code Workflow Designer
Drag-and-drop workflows for data preparation, blending, transformation, and analytics without heavy coding.
Automated Analytics & AutoML
Automated analytics capabilities including feature engineering, model building and evaluation.
GenAI / AI Copilot & AI Data Clearinghouse
GenAI integration and an AI Data Clearinghouse to connect enterprise data securely to LLMs with governance controls.
Support for Unstructured Data
Capabilities to process semi-structured and unstructured inputs such as PDFs, images, and free text.
Extensive Connectors
Connectors to major cloud data platforms (Snowflake, Databricks, and others) and common enterprise sources.
Scheduling, Orchestration & APIs
Job scheduling, orchestration, API triggers, analytics apps, and app sharing for automation and operationalization.
Who Can Use This Tool?
- Data Analysts:Build analytics workflows, prepare data, create reports, and run AutoML with minimal coding.
- Data Engineers / BI Teams:Integrate and orchestrate data pipelines, connect to cloud platforms, and operationalize analytics.
- Enterprise IT & Security:Enforce governance, manage deployments (cloud/hybrid/on-prem), and control access and compliance.
Pricing Plans
Entry-level edition with basic data preparation and reporting capabilities; per-user model billed annually.
- ✓Basic data prep and reporting
- ✓Entry-level seat/role suitable for light creators or viewers
- ✓Limited connectors and add-on availability compared to higher tiers
Full creator capabilities for end-to-end analytics, automation, and model building; per-user model billed annually.
- ✓End-to-end analytics and automation
- ✓AutoML and model-building features
- ✓Broader connector access and scheduling/orchestration
Enterprise-grade edition emphasizing deployment flexibility, governance, private data handling, and add-on options.
- ✓Cloud/on-prem/hybrid deployment options
- ✓Advanced governance, security and compliance controls
- ✓Enterprise orchestration, private data handling, and add-on capacity
Pros & Cons
✓ Pros
- ✓Powerful drag-and-drop workflows that accelerate data preparation and analytics.
- ✓Comprehensive automation and AutoML capabilities for model building and feature engineering.
- ✓GenAI integrations and an AI Data Clearinghouse for governed LLM access to enterprise data.
- ✓Flexible deployment (cloud/on-prem/hybrid) and enterprise governance features.
✗ Cons
- ✗Pricing and licensing can be complex; numeric rates and regional pricing may be gated.
- ✗Learning curve for some advanced capabilities despite no-code/low-code positioning.
- ✗Automated extraction did not consistently capture numeric pricing or canonical trial terms; verify with sales.
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