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Census vs. Dremio

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 Census con Custom pricing. Dremio tiene la valoración agregada más alta (4.6/5 frente a 4.5/5). Census lista más integraciones (200+ frente a 23+).

Comparación completa

Censusdesde Custom pricing
Dremiodesde Free
Audyense Score64ASAceptable78ASSólido
PosicionamientoThe #1 Data Activation platform, powered by Reverse ETLA 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.
Plan gratuitoSíSí
ImplementaciónNube / SaaSNube / SaaS, Instalación local, Híbrido
Mejor encajeStartup, PYME, Mediana empresa, EmpresaPYME, Mediana empresa, Empresa
Planes de precio
  • FreeFree
  • StandardCustom pricing
  • EnterpriseCustom pricing
  • Business CriticalCustom pricing
  • Community EditionFree
  • Dremio Cloud$0
  • Dremio EnterpriseCustom pricing
Reverse ETL / Data ActivationSí—
200+ Pre-Built Activation DestinationsSí—
Audience Hub (Self-Service Audience Building)Sí—
AI-Powered Audience EnrichmentSí—
AI Columns (LLM-Generated Data Fields)Sí—
No-Code Dataset ModelingSí—
Centralized Data GovernanceSí—
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.
Integraciones verificadas200+23+
Valoración agregada4.5 · 339 reviews4.6 · 69 reviews
Integraciones—
Amazon S3Azure Data Lake StorageGoogle Cloud StorageAWS Glue Data CatalogApache HiveApache Iceberg REST Catalog+17 más
Seguridad y cumplimiento—
SOC 2 Type IIISO/IEC 27001:2022HIPAAGDPR+1 más
Pros
  • Strong reliability handling schema changes and large-scale syncs, per reviewers
  • Broad catalog of 200+ destination integrations
  • Multi-year track record as a G2 category leader before acquisition
  • 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
Contras
  • No longer sold as a standalone product — folded into Fivetran Activations after the May 2025 acquisition
  • Post-acquisition pricing moved to consumption-based Monthly Active Rows, which some reviewers found harder to predict
  • 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
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