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Hevo Data vs. Rivery

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

Hevo Data parte de Free por usuario, frente a Rivery con $1.

Comparación completa

Hevo Datadesde Free
Riverydesde $1 per BDU credit
Audyense Score42AS*Bajo61AS*Aceptable
PosicionamientoManaged pipelines from SaaS and databases to the warehouseUsage-based ETL, ELT, orchestration, and reverse ETL for modern data teams.
Plan gratuitoSíNo
ImplementaciónNube / SaaSNube / SaaS
Mejor encajeStartup, PYME, Mediana empresa, EmpresaPYME, Mediana empresa, Empresa
Planes de precio
  • FreeFree
  • Starter$299
  • Professional$549
  • Business CriticalCustom pricing
  • Base$1
  • ProfessionalCustom pricing
  • Pro PlusCustom pricing
  • EnterpriseCustom pricing
Managed connectorsSíMoves data from SaaS applications and databases.—
Pipeline monitoringSíTracks load health and operational issues.—
Schema mappingSíMaps and manages source fields for destinations.—
Incremental loadingSíSupports efficient change-based ingestion.—
Warehouse destinationsSíLoads major cloud warehouses and databases.—
dbt integrationSíAvailable on paid plans for transformation workflows.—
Streaming pipelinesSíAvailable on Professional and above.—
RBAC and SSOSíAvailable on Business Critical.—
ETL and ELT—Sí
Reverse ETL—Sí
Workflow orchestration—Sí
Python transformations—Sí
Custom data sources—Sí
API and CLI—SíAvailable on Professional and above.
Private networking—SíPrivateLink, VPN, and reverse SSH vary by plan.
SSO and SCIM—SíAvailable on Pro Plus and above.
Integraciones verificadas150+—
Valoración agregada— · No reviews yet4.7 · 120 reviews
Integraciones
SalesforceHubSpotGoogle AdsFacebook AdsStripeShopify+10 más
SnowflakeAmazon RedshiftGoogle BigQueryDatabricksSalesforceHubSpot+9 más
Seguridad y cumplimiento
SOC 2 Type IIGDPR
SOC 2 Type IIHIPAA
Pros
  • Free starting tier
  • 150+ connectors
  • Managed schema and pipeline operations
  • Clear usage model
  • One product covers extraction, transformation, orchestration, and reverse ETL.
  • No per-connector or per-user charge on most plans.
  • Python, custom sources, API/CLI, branching, dependencies, and built-in versioning support engineering workflows.
  • PrivateLink, VPN, SSO, SCIM, audit logs, and custom file zones cover serious governance needs.
Contras
  • Consumption costs need monitoring
  • Advanced networking is tiered
  • Connector behavior needs validation
  • Not a full transformation platform
  • BDU/RPU pricing requires workload measurement rather than simple seat budgeting.
  • Base is limited to two users and one environment; larger teams need higher tiers.
  • Enterprise security and connectivity features are not available at the entry level.
  • Less ecosystem maturity and review volume than the largest data-integration incumbents.
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