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Esri ArcGIS Online vs. Omni Analytics

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

Esri ArcGIS Online parte de Free por usuario, frente a Omni Analytics con Custom pricing. Omni Analytics tiene la valoración agregada más alta (4.8/5 frente a 4.6/5). Omni Analytics lista más integraciones (24+ frente a 15+).

Comparación completa

Esri ArcGIS Onlinedesde Free
Omni Analyticsdesde Custom pricing
Audyense Score80ASSólido59ASAceptable
PosicionamientoCloud GIS and location intelligence for mapping, spatial analysis, and field dataGoverned BI and embedded analytics built around a shared semantic layer.
Plan gratuitoNo
ImplementaciónNube / SaaS, HíbridoNube / SaaS
Mejor encajeMediana empresa, EmpresaPYME, Mediana empresa, Empresa
Planes de precio
  • ArcGIS Location Platform — Free TierFree
  • ArcGIS Location Platform — Pay-as-you-go$0
  • Viewer$125
  • Contributor$250
  • Mobile Worker$400
  • Creator$700
  • Professional / Professional PlusCustom pricing
  • Free trialCustom pricing
  • BusinessCustom pricing
  • EmbeddedCustom pricing
  • EnterpriseCustom pricing
AI featuresPretrained deep learning models, spatial machine learning, and built-in AI assistants.
Public APIArcGIS REST API, ArcGIS API for Python, JavaScript SDK, and event-driven webhooks.
Mobile appArcGIS Field Maps and Survey123 provide native mobile data collection with offline capture and sync.
Data governance & lineageRole-based user types, org/group sharing controls, and enterprise-scale secure data management; FedRAMP Moderate and ISO 27001.
Dashboards & visualizationArcGIS Dashboards is included, with real-time charts, gauges, maps, lists, and indicators.
Embedded analyticsMaps, dashboards, and Experience Builder apps embed into external sites, plus JavaScript SDK and Power BI integration.
Self-service BIParcialNon-specialists can build maps and dashboards no-code, but general self-service analytics leans on the separately licensed ArcGIS Insights.
Semantic layer / data modelingParcialHosted feature layers and web maps act as reusable, governed shared data layers, but there is no BI-style semantic modeling layer with metrics definitions.
Alerts & notificationsParcialEvent-driven webhooks and Power Automate connectors enable alerts; continuous real-time alerting requires the separate ArcGIS Velocity product.
Natural language queryParcialBuilt-in AI assistants provide conversational guidance across the platform; not a full NL-to-query engine over arbitrary datasets.
SAML SSO
SQL editor
Spreadsheet formulas
AI analytics
Row and column permissions
No-code exploration
Integraciones verificadas15+24+
Valoración agregada4.6 · 505 reviews4.8 · 64 reviews
Integraciones
Microsoft Power BIMicrosoft Power AutomateMicrosoft 365Microsoft SharePointMicrosoft TeamsMicrosoft Azure+9 más
SnowflakeDatabricksAmazon RedshiftGoogle BigQueryPostgreSQLMySQL+9 más
Seguridad y cumplimiento
FedRAMP ModerateISO 27001GDPR
SOC 2 Type IIHIPAAGDPRCCPA
Pros
  • Unmatched depth of geospatial tooling and analysis functions — widely described across review platforms as the industry standard no competitor fully matches.
  • Huge library of authoritative basemaps, demographic data, and ready-made content included with the platform, saving significant data-sourcing work.
  • Browser-based interface and no-code app builders make web maps and dashboards far more approachable than the legacy desktop products.
  • Strong support, documentation, and training ecosystem — support is the highest-rated dimension on TrustRadius at 9.1.
  • Shared semantic model keeps business metrics consistent across workbooks and embeds.
  • Supports SQL, spreadsheet formulas, point-and-click exploration, and AI workflows.
  • Strong embedded analytics story with white-labeling and customizable experiences.
  • Detailed security controls including SAML, row/column permissions, and encrypted connections.
Contras
  • High and structurally complex licensing cost; reviewers note modules and extensions are sold separately, putting full capability out of reach for smaller organizations.
  • Steep learning curve and complicated setup — non-GIS specialists need meaningful ramp time before being productive.
  • Credit-based consumption for storage, geocoding, and analysis makes spend hard to predict and requires active monitoring.
  • Performance complaints are common: slow operations on large datasets, heavy resource requirements, and reports of crashes and persistent bugs.
  • Pricing is quote-led and can be challenging to model for large embedded audiences.
  • Advanced modeling and workbook organization take more time to learn.
  • Fast product iteration can mean documentation and UI rough edges for new capabilities.
  • Cloud-only delivery may not suit buyers requiring self-hosted analytics.
Visitar Esri ArcGIS Online ↗Visitar Omni Analytics ↗