Registro lado a lado

Alteryx vs. Hex

Elaborado a partir del registro investigado y revisado de cada herramienta. Las cifras se contrastan con las páginas públicas de precios en el momento de la investigación — confirma siempre el precio actual con el proveedor antes de comprar.

La versión corta

Hex parte de Free por usuario, frente a Alteryx con $250. Alteryx tiene la valoración agregada más alta (4.6/5 frente a 4.5/5). Hex lista más integraciones (28+ frente a 18+).

Comparación completa

	Alteryxdesde $250 per user/month, billed annually	Hexdesde Free
Audyense Score	78ASSólido	70ASSólido
Posicionamiento	Low-code analytics automation and AI insights on a governed cloud platform	Collaborative SQL, Python, no-code, and AI analytics in one data workspace.
Plan gratuito	No	Sí
Implementación	Nube / SaaS, Instalación local	Nube / SaaS
Mejor encaje	Mediana empresa, Empresa	Startup, PYME, Mediana empresa, Empresa
Planes de precio	Starter$250 ProfessionalCustom pricing EnterpriseCustom pricing	CommunityFree Professional$36 Team$75 EnterpriseCustom pricing
AI features	SíAiDIN Copilot, Magic Documents, AutoML, and pluggable LLMs incl. Anthropic, OpenAI.	—
Public API	ParcialREST 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	SíRole-based access control and workspace permissions in the governance layer.	—
Dashboards & visualization	SíAuto Insights missions and cloud reporting produce shareable dashboards and charts.	—
Embedded analytics	ParcialAnalytic apps embeddable via Server API or iframe; no dedicated embedding SDK.	SíAvailable as an Enterprise add-on.
Self-service BI	SíDrag-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.	SíSupports dbt MetricFlow, Cube, and Snowflake semantic model sync.
Alerts & notifications	SíScheduled email subscriptions for missions plus workflow run notifications.	—
Natural language query	SíAuto Insights takes natural-language prompts; Copilot builds workflows from text.	—
SQL notebooks	—	Sí
Python and R	—	ParcialPython is first-class; R is supported through data workflows rather than as the core notebook runtime.
Interactive data apps	—	Sí
Scheduled runs and alerts	—	SíAvailable on Team and Enterprise.
AI analytics	—	SíNotebook, Threads, and semantic-model agents vary by plan.
Git integration	—	Sí
Integraciones verificadas	18+	28+
Valoración agregada	4.6 · 671 reviews	4.5 · 383 reviews
Integraciones	SnowflakeDatabricksGoogle BigQueryAmazon RedshiftAmazon S3Amazon Athena+12 más	SnowflakeAmazon RedshiftGoogle BigQueryDatabricksPostgreSQLClickHouse+9 más
Seguridad y cumplimiento	SOC 2 Type IIISO 27001ISO 22301GDPR+2 más	SOC 2 Type IIHIPAA
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	SQL, Python, no-code, AI, and app-building workflows in one environment. Fast path from ad hoc analysis to shareable reports and interactive apps. Strong collaboration features including multiplayer, comments, versioning, and shared components. Connects to warehouses, cloud storage, orchestration tools, and semantic models.
Contras	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	Advanced compute, AI agents, and usage credits can complicate the cost model. Visualization depth is not always a match for dedicated dashboarding products. Most meaningful governance and security controls are reserved for Team or Enterprise. Cloud-first deployment may not fit teams that require full self-hosting.
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