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dbt 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

Rivery parte de $1 por usuario, frente a dbt con Custom pricing.

Comparación completa

dbtdesde Custom pricing
Riverydesde $1 per BDU credit
Audyense Score22AS*Bajo61AS*Aceptable
PosicionamientoAnalytics engineering and governed data transformationUsage-based ETL, ELT, orchestration, and reverse ETL for modern data teams.
Plan gratuitoSíNo
ImplementaciónNube / SaaS, HíbridoNube / SaaS
Mejor encajeStartup, PYME, Mediana empresa, EmpresaPYME, Mediana empresa, Empresa
Planes de precio
  • dbt CoreFree
  • dbt CloudCustom pricing
  • EnterpriseCustom pricing
  • Base$1
  • ProfessionalCustom pricing
  • Pro PlusCustom pricing
  • EnterpriseCustom pricing
SQL transformationsSíBuilds modular transformations in SQL.—
Data testsSíValidates assumptions about warehouse data.—
DocumentationSíGenerates model and column documentation.—
LineageSíShows dependencies between models and sources.—
Version controlSíWorks with Git-based review workflows.—
CI/CDSíRuns checks and deployments through jobs.—
Semantic modelingParcialAdvanced semantic capabilities depend on product tier.—
Warehouse connectivitySíSupports major cloud warehouse engines.—
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 verificadas——
Valoración agregada— · No reviews yet4.7 · 120 reviews
Integraciones
SnowflakeBigQueryRedshiftDatabricksPostgreSQLAzure Synapse+10 más
SnowflakeAmazon RedshiftGoogle BigQueryDatabricksSalesforceHubSpot+9 más
Seguridad y cumplimiento
SOC 2GDPR
SOC 2 Type IIHIPAA
Pros
  • Modular, testable SQL workflow
  • Excellent documentation and lineage model
  • Open-source entry point
  • Broad warehouse support
  • 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
  • Requires SQL and data-modeling skills
  • Cloud features are packaged separately
  • Semantic and state features need careful evaluation
  • Transformation quality still depends on team discipline
  • 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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