Registro lado a lado

Census vs. Databricks

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

Databricks parte de Free por usuario, frente a Census con Custom pricing. Databricks tiene la valoración agregada más alta (4.6/5 frente a 4.5/5). Census lista más integraciones (200+ frente a 15+).

Comparación completa

	Censusdesde Custom pricing	Databricksdesde Free
Audyense Score	64ASAceptable	81ASSólido
Posicionamiento	The #1 Data Activation platform, powered by Reverse ETL	Unified data, analytics, and AI platform built on the lakehouse
Plan gratuito	Sí	Sí
Implementación	Nube / SaaS	Nube / SaaS
Mejor encaje	Startup, PYME, Mediana empresa, Empresa	Mediana empresa, Empresa
Planes de precio	FreeFree StandardCustom pricing EnterpriseCustom pricing Business CriticalCustom pricing	Free EditionFree Standard compute (Jobs)$0 SQL Serverless$1 Enterprise$0
Reverse ETL / Data Activation	Sí	—
200+ Pre-Built Activation Destinations	Sí	—
Audience Hub (Self-Service Audience Building)	Sí	—
AI-Powered Audience Enrichment	Sí	—
AI Columns (LLM-Generated Data Fields)	Sí	—
No-Code Dataset Modeling	Sí	—
Centralized Data Governance	Sí	—
Workflow automation	—	SíDatabricks Workflows/Lakeflow Jobs natively orchestrate notebooks, pipelines, and ML tasks with dependencies and retries.
AI features	—	SíMosaic AI, Databricks Assistant, AI/BI Genie, and Model Serving provide built-in generative AI and ML tooling.
Public API	—	SíExtensive REST APIs are documented for workspaces, jobs, clusters, and Unity Catalog objects.
Self-hosting / on-prem	—	NoSaaS-only; compute runs inside the customer's cloud account, but there is no on-premises or self-hosted deployment option.
Pre-built connectors	—	ParcialNative ingestion via Auto Loader plus Partner Connect integrations, but not as broad a native connector catalog as dedicated iPaaS/ELT tools.
Data pipelines / ETL	—	SíDelta Live Tables / Lakeflow Declarative Pipelines is a core product for building and managing ETL pipelines.
Scheduling & triggers	—	SíWorkflows support cron scheduling, file-arrival triggers, and event-based triggers.
Data governance & lineage	—	SíUnity Catalog provides centralized governance, lineage, and cataloging across all workspaces.
Role-based access control	—	SíUnity Catalog supports role-based, row/column-level, and attribute-based (ABAC) access control.
Integraciones verificadas	200+	15+
Valoración agregada	4.5 · 339 reviews	4.6 · 658 reviews
Integraciones	—	FivetrandbtAlationMicrosoft Power BITableauRivery+9 más
Seguridad y cumplimiento	—	SOC 2 Type IIISO 27001HIPAAPCI DSS+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	Strong at unifying data engineering, data science, and BI/analytics under one governed platform Delta Lake and Unity Catalog provide robust data reliability, lineage, and access control Scales well for very large datasets and complex ML/AI workloads Native integrations across major BI tools (Tableau, Power BI, Looker) and ingestion tools (Fivetran, dbt)
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	Steep learning curve, especially for teams new to Spark or lakehouse concepts Usage-based DBU pricing is complex and can scale unpredictably Non-technical users find the interface and setup less approachable than simpler BI tools Managing and forecasting compute cost requires ongoing FinOps discipline
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