Registro lado a lado

Dremio 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

Dremio parte de Free por usuario, frente a Rivery con $1. Rivery tiene la valoración agregada más alta (4.7/5 frente a 4.6/5).

Comparación completa

	Dremiodesde Free	Riverydesde $1 per BDU credit
Audyense Score	78ASSólido	61AS*Aceptable
Posicionamiento	A unified lakehouse platform that lets teams query and analyze data across S3, Snowflake, Redshift, and dozens of other sources directly on open formats like Apache Iceberg.	Usage-based ETL, ELT, orchestration, and reverse ETL for modern data teams.
Plan gratuito	Sí	No
Implementación	Nube / SaaS, Instalación local, Híbrido	Nube / SaaS
Mejor encaje	PYME, Mediana empresa, Empresa	PYME, Mediana empresa, Empresa
Planes de precio	Community EditionFree Dremio Cloud$0 Dremio EnterpriseCustom pricing	Base$1 ProfessionalCustom pricing Pro PlusCustom pricing EnterpriseCustom pricing
Workflow automation	NoAutomation is scoped to query acceleration and AI-agent query assistance, not general workflow automation.	—
AI features	SíAI Semantic Layer and built-in AI Agent, plus MCP integration for Claude/ChatGPT/Gemini.	—
Public API	SíDocumented ODBC/JDBC/Arrow Flight interfaces and a Dremio CLI/MCP integration.	—
Self-hosting / on-prem	SíCommunity Edition and Dremio Enterprise both support self-hosted deployment.	—
Pre-built connectors	Sí20+ named native connectors plus ODBC/JDBC/Arrow Flight generic connectivity.	—
Data pipelines / ETL	ParcialPositioned to reduce/eliminate traditional ETL via federated live querying rather than being a pipeline/orchestration tool.	—
Scheduling & triggers	NoNo evidence of job/workflow scheduling distinct from query execution and Reflections refresh.	—
Data governance & lineage	SíFine-grained RBAC down to rows/columns, Open Catalog governance, plus compliance certifications.	—
Role-based access control	SíRole-based access control with row/column-level granularity.	—
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	23+	—
Valoración agregada	4.6 · 69 reviews	4.7 · 120 reviews
Integraciones	Amazon S3Azure Data Lake StorageGoogle Cloud StorageAWS Glue Data CatalogApache HiveApache Iceberg REST Catalog+17 más	SnowflakeAmazon RedshiftGoogle BigQueryDatabricksSalesforceHubSpot+9 más
Seguridad y cumplimiento	SOC 2 Type IIISO/IEC 27001:2022HIPAAGDPR+1 más	SOC 2 Type IIHIPAA
Pros	Federated SQL queries across many disparate data sources without moving or duplicating data Reflections acceleration feature delivers sub-second BI query response times Rated highly for ease of use and fast, direct data exploration by both technical and non-technical users Strong data lake / lakehouse integration and cloud processing scores from reviewers	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	Some users report occasional out-of-memory (OOM) errors without clear diagnostic explanations High resource demands and difficulty maintaining the environment at scale Steep learning curve for advanced features despite a low barrier for basic querying Review volume on major platforms is relatively thin for a company of Dremio's market position	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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