Alteryx

Name: Alteryx
Brand: Alteryx
Rating: 4.6 (1851 reviews)

Leader

Alteryx One brings together everything you need to access, prepare, analyze, and act on data

Est 1997|Valuation $3.5B|Raised $7.2M|130 Ref Customers

LinkedIn 369K|Web traffic 308K|FTEs 2,324|HQ Irvine, California, US

MarketsData Transformation Data Preparation Business Intelligence (BI) and Analytics Data Science & Machine Learning Platforms Low-Code Development Platforms

01Competitive Landscape

Narrative analysis (where alternatives excel)

KNIME vs Alteryx - KNIME provides an open-source core that can reduce per-seat cost pressure for teams willing to manage an open-source stack. Migration from Alteryx workflows is not automatic and may involve rework. Dataiku vs Alteryx - Dataiku is positioned for collaborative, governed ML/AI lifecycle management and may better serve organizations that prioritize modern ML/GenAI capabilities and MLOps features. Some reviewer commentary aligns with the characterization that Alteryx is stronger for analyst-led data transformation while competitors focus more on integrated ML/AI workflows.

Adoption / market signal notes

Alteryx is established within many enterprise analyst workflows and reports a large customer base. Post-acquisition changes in strategy, packaging, and pricing are possible; organizations should monitor vendor announcements and contract terms for changes.

	Alteryx	KNIME	Dataiku
Starting Price	Typically quote-based; third-party estimates cite Designer at several thousand per user per year (verify with vendor)	KNIME Analytics Platform is free/open-source; Team Plan pricing information is available from KNIME	Typically enterprise quote-based (verify with vendor)
Best For	Business analysts automating repeatable data prep/ETL workflows; Excel-to-enterprise automation	Cost-sensitive teams and technical analysts preferring an open-source core	Enterprises seeking a unified collaborative platform spanning data prep, ML, and governance
Key Strength	Mature visual workflow automation and analyst adoption in enterprises	Free desktop core and a strong ecosystem; paid options for collaboration and scheduling	Broad end-to-end ML/AI lifecycle capabilities and collaboration/governance features
Key Weakness	Reported cost and desktop scaling constraints; some reviewers cite limitations in modern ML depth	Enterprise governance and migration effort can be non-trivial; migration from Alteryx workflows may require rework	Can be heavier to deploy and manage; potentially higher cost and complexity for quick desktop automation needs

01Competitive Landscape

Narrative analysis (where alternatives excel)

KNIME vs Alteryx

KNIME provides an open-source core that can reduce per-seat cost pressure for teams willing to manage an open-source stack. Migration from Alteryx workflows is not automatic and may involve rework.

Dataiku vs Alteryx

Dataiku is positioned for collaborative, governed ML/AI lifecycle management and may better serve organizations that prioritize modern ML/GenAI capabilities and MLOps features. Some reviewer commentary aligns with the characterization that Alteryx is stronger for analyst-led data transformation while competitors focus more on integrated ML/AI workflows.

Adoption / market signal notes

Alteryx is established within many enterprise analyst workflows and reports a large customer base. Post-acquisition changes in strategy, packaging, and pricing are possible; organizations should monitor vendor announcements and contract terms for changes.

	Alteryx	KNIME	Dataiku
Starting Price	Typically quote-based; third-party estimates cite Designer at several thousand per user per year (verify with vendor)	KNIME Analytics Platform is free/open-source; Team Plan pricing information is available from KNIME	Typically enterprise quote-based (verify with vendor)
Best For	Business analysts automating repeatable data prep/ETL workflows; Excel-to-enterprise automation	Cost-sensitive teams and technical analysts preferring an open-source core	Enterprises seeking a unified collaborative platform spanning data prep, ML, and governance
Key Strength	Mature visual workflow automation and analyst adoption in enterprises	Free desktop core and a strong ecosystem; paid options for collaboration and scheduling	Broad end-to-end ML/AI lifecycle capabilities and collaboration/governance features
Key Weakness	Reported cost and desktop scaling constraints; some reviewers cite limitations in modern ML depth	Enterprise governance and migration effort can be non-trivial; migration from Alteryx workflows may require rework	Can be heavier to deploy and manage; potentially higher cost and complexity for quick desktop automation needs