Side-by-side record

Alteryx vs. Mode

Built from each tool’s researched, reviewed record. Figures are checked against public pricing pages at research time — always confirm current pricing with the vendor before buying.

The short version

Mode starts at Free per seat, versus Alteryx at $250. Alteryx carries the higher aggregate rating (4.6/5 vs 4.5/5).

Full comparison

	Alteryxfrom $250 per user/month, billed annually	Modefrom Free
Audyense Score	78ASStrong	56AS*Fair
Positioning	Low-code analytics automation and AI insights on a governed cloud platform	Analyst-first BI combining SQL, Python, R, dashboards, and advanced analytics.
Free tier	No	Yes
Deployment	Cloud / SaaS, On-premise	Cloud / SaaS
Best fit	Mid-market, Enterprise	SMB, Mid-market, Enterprise
Pricing plans	Starter$250 ProfessionalCustom pricing EnterpriseCustom pricing	StudioFree BusinessCustom pricing EnterpriseCustom pricing
AI features	YesAiDIN Copilot, Magic Documents, AutoML, and pluggable LLMs incl. Anthropic, OpenAI.	—
Public API	PartialREST APIs for cloud and Server, but public endpoints are Enterprise-edition only.	—
Mobile app	NoNo native iOS or Android app; the cloud workspace is browser-only.	—
Role-based access control	YesRole-based access control and workspace permissions in the governance layer.	—
Dashboards & visualization	YesAuto Insights missions and cloud reporting produce shareable dashboards and charts.	—
Embedded analytics	PartialAnalytic apps embeddable via Server API or iframe; no dedicated embedding SDK.	—
Self-service BI	YesDrag-and-drop canvas with 300+ code-free tools aimed at non-programmer analysts.	—
Semantic layer / data modeling	NoNo dedicated semantic or metrics layer; governance covers workflow lineage only.	—
Alerts & notifications	YesScheduled email subscriptions for missions plus workflow run notifications.	—
Natural language query	YesAuto Insights takes natural-language prompts; Copilot builds workflows from text.	—
Python and R notebooks	—	Yes
Interactive dashboards	—	Yes
Reusable datasets	—	Yes
Governed metrics	—	YesSupports dbt Semantic Layer integration.
Custom data apps	—	Yes
Advanced analytics	—	Yes
Role-based access control	—	YesEnterprise feature.
SQL editor	—	Yes
Integrations verified	18+	—
Aggregate rating	4.6 · 671 reviews	4.5 · 330 reviews
Integrations	SnowflakeDatabricksGoogle BigQueryAmazon RedshiftAmazon S3Amazon Athena+12 more	SnowflakeAmazon RedshiftGoogle BigQueryPostgreSQLMySQLMicrosoft SQL Server+6 more
Security & compliance	SOC 2 Type IIISO 27001ISO 22301GDPR+2 more	—
Pros	Drag-and-drop workflow canvas lets analysts with no SQL or Python background build repeatable data pipelines Large library of prebuilt tools and connectors covering databases, cloud warehouses, and SaaS applications shortens setup time Automating recurring prep and reporting removes substantial manual spreadsheet work each cycle AI assistance, including Copilot and natural-language insight summaries, is built into the platform rather than bolted on	Native SQL, Python, and R workflow with results flowing into dashboards and reports. Strong bridge between ad hoc analysis, advanced analytics, and self-serve reporting. Reusable datasets and governed metrics reduce repeated analyst work. Custom data apps and embedded analytics expand the use case beyond static dashboards.
Cons	Licensing cost is the most common complaint, with seat and server pricing seen as steep for smaller teams Advanced tools carry a steep learning curve and documentation is described as unfriendly to beginners In-memory processing means performance degrades on very large datasets, especially joins and sorts No native Git integration or real versioning, so collaborative workflow development feels dated	The platform is optimized for analyst-led teams rather than pure business-user self-service. Enterprise identity, access, and support capabilities are not part of the free Studio tier. Pricing and packaging are less transparent for Business and Enterprise. Python/R environments and warehouse performance still require data-team administration.
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