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Qdrant 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 Qdrant con Custom pricing. Rivery tiene la valoración agregada más alta (4.7/5 frente a 4.5/5).

Comparación completa

Qdrantdesde Custom pricing
Riverydesde $1 per BDU credit
Audyense Score52AS*Bajo61AS*Aceptable
PosicionamientoOpen-source vector database for AI applicationsUsage-based ETL, ELT, orchestration, and reverse ETL for modern data teams.
Plan gratuitoSíNo
ImplementaciónNube / SaaS, Instalación local, HíbridoNube / SaaS
Mejor encajeStartup, PYME, Mediana empresa, EmpresaPYME, Mediana empresa, Empresa
Planes de precio
  • FreeFree
  • StandardCustom pricing
  • PremiumCustom pricing
  • Hybrid/Private CloudCustom pricing
  • Base$1
  • ProfessionalCustom pricing
  • Pro PlusCustom pricing
  • EnterpriseCustom pricing
API and CLI—SíAvailable on Professional and above.
ETL and ELT—Sí
SSO and SCIM—SíAvailable on Pro Plus and above.
Reverse ETL—Sí
Private networking—SíPrivateLink, VPN, and reverse SSH vary by plan.
Workflow orchestration—Sí
Python transformations—Sí
Custom data sources—Sí
Integraciones verificadas——
Valoración agregada4.5 · 12 reviews4.7 · 120 reviews
Integraciones—
SnowflakeAmazon RedshiftGoogle BigQueryDatabricksSalesforceHubSpot+9 más
Seguridad y cumplimiento
SOC 2GDPRHIPAA
SOC 2 Type IIHIPAA
Pros
  • Free perpetual tier for testing/prototyping (0.5 vCPU, 1GB RAM cluster)
  • Multi-cloud support (AWS, Azure, GCP) plus hybrid/private cloud options
  • SOC2, GDPR, and HIPAA compliance for managed cloud
  • 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
  • Standard/Premium tiers are usage-based with minimum spend on Premium, pricing not fully transparent without configuring a cluster
  • G2 review volume is still small (12 reviews) relative to more established vector DBs
  • 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.
Visitar Qdrant ↗Visitar Rivery ↗