Pipelines de Datos · 222.4K visitas mensuales

Airbyte es una plataforma de integración de datos de código abierto que simplifica la creación y gestión de pipelines de datos. Le permite mover datos de cientos de fuentes a destinos como almacenes de datos, lagos y bases de datos vectoriales en minutos, utilizando un vasto catálogo de conectores preconstruidos o creando los suyos propios con un constructor de bajo código. Admite implementaciones en la nube y autohospedadas, centrándose en la seguridad de los datos, la gobernanza y la escalabilidad para aplicaciones modernas de datos e IA.

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Databricks

Plataforma de Aprendizaje Automático · 5M visitas mensuales

Databricks es una plataforma unificada de Inteligencia de Datos que combina el almacenamiento de datos (data warehousing) y los lagos de datos (data lakes) en una arquitectura de lakehouse. Permite a las empresas gestionar todo el ciclo de vida de los datos, desde la ingeniería de datos y ETL hasta la inteligencia de negocio, la ciencia de datos y las aplicaciones de IA generativa a gran escala, todo en una única plataforma colaborativa.

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Airbyte vs Databricks: precios, funciones y tráfico

Compara Airbyte y Databricks por posicionamiento, precio, capacidades, tráfico y opiniones.

Actualizado 5 ago 2026

Resumen del producto

Airbyte Resumen del producto

Preview

Databricks Resumen del producto

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Detailed feature comparison

Feature	Airbyte	Databricks
Categoría principal	Pipelines de Datos	Plataforma de Aprendizaje Automático
Añadido	2025-08-06	2025-08-12
Precio	Freemium	Freemium
Sitio oficial	airbyte.com	www.databricks.com
Tipo de producto	Sitio web	Sitio web
Performance data
Valoración	Sin verificar	Sin verificar
Comentarios	0	0
Visitas mensuales	222.4K	5M
Crecimiento mensual	2.2%	-2.7%
Favoritos	88	129
Details	Ver detalles	Ver detalles

Airbyte vs Databricks monthly traffic

Compare Airbyte and Databricks by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Airbyte vs Databricks monthly traffic comparison, Airbyte currently shows 222.4K visits and Databricks shows 5M; Databricks has about 22.5 times the visible traffic of Airbyte, an absolute difference of about 4.8M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Airbyte monthly traffic:

Latest traffic

Visitas mensuales

222.4K

Duración media

2:50

Páginas por visita

4.3

Tasa de rebote

39.01%

Data updated 2026-06-15

Monthly traffic trend

Regiones principales

Top 5 countries/regions

Country/region	Percentage	Traffic
🇺🇸United States	32.27%	71.8K
🇸🇻El Salvador	31.61%	70.3K
🇮🇳India	13.68%	30.4K
🇩🇪Germany	11.87%	26.4K
🇪🇸Spain	10.57%	23.5K

Fuentes de tráfico

Source type	Percentage	Traffic
Directo	83.15%	184.9K
Referido	12.79%	28.4K
Correo electrónico	4.06%	9K

Palabras clave

airbyteairbyte cloudairbyte estimatorcomposiofivetran

Databricks monthly traffic:

Latest traffic

Visitas mensuales

Duración media

11:35

Páginas por visita

15.84

Tasa de rebote

29.58%

Data updated 2026-06-15

Monthly traffic trend

Regiones principales

Top 5 countries/regions

Country/region	Percentage	Traffic
🇺🇸United States	55.22%	2.8M
🇮🇳India	28.18%	1.4M
🇬🇧United Kingdom	8.15%	408.1K
🇨🇦Canada	4.31%	215.8K
🇧🇷Brazil	4.14%	207.3K

Fuentes de tráfico

Source type	Percentage	Traffic
Directo	83.28%	4.2M
Referido	13.02%	652K
Correo electrónico	3.7%	185.3K

Palabras clave

data bricksdatabricksdatabricks careersdatabricks free editiondatabricks summit

Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Databricks first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of Airbyte and Databricks

Airbyte Core features

Inteligencia de Negocio

Pipelines de Datos

Integración de Datos

Databricks Core features

Inteligencia de Negocio

Plataforma de Aprendizaje Automático

Base de Datos

Use cases

Airbyte Use cases

Ingeniería de Datos

ETL

Datos de IA

CDC

Conectores

Gobernanza de datos

Integración de datos

Movimiento de datos

Pipeline de datos

ELT

Código Abierto

Base de datos vectorial

Databricks Use cases

Ingeniería de Datos

ETL

Plataforma de IA

Apache Spark

Big data

Inteligencia de Negocios

plataforma de datos

Almacén de datos

IA generativa

Lakehouse

aprendizaje automático

Airbyte vs Databricks：In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Airbyte vs Databricks comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Airbyte is primarily listed under “Pipelines de Datos”, while Databricks is primarily listed under “Plataforma de Aprendizaje Automático”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Airbyte: Pipelines de Datos; Databricks: Plataforma de Aprendizaje Automático); Monthly visits (Airbyte: 222.4K; Databricks: 5M); Monthly growth (Airbyte: 2.2%; Databricks: -2.7%); Favorites (Airbyte: 88; Databricks: 129); Website (Airbyte: airbyte.com; Databricks: www.databricks.com). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate Databricks first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

Airbyte and Databricks currently overlap in shared categories: Inteligencia de Negocio; shared tags: Ingeniería de Datos y ETL. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Airbyte's unique categories/tags are Pipelines de Datos, Integración de Datos, Datos de IA, CDC, Conectores, Gobernanza de datos, Integración de datos y Movimiento de datos; Databricks's are Plataforma de Aprendizaje Automático, Base de Datos, Plataforma de IA, Apache Spark, Big data, Inteligencia de Negocios, plataforma de datos y Almacén de datos. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Airbyte has no verified rating, 0 comments, 88 favorites, and 94 likes；Databricks has no verified rating, 0 comments, 129 favorites, and 115 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Airbyte first

Put Airbyte on the priority trial list when the task aligns with “Pipelines de Datos” and especially Pipelines de Datos, Integración de Datos, Datos de IA, CDC, Conectores y Gobernanza de datos. This follows recorded positioning and does not imply unlisted capabilities are absent.

Airbyte also currently records: pricing is freemium, product type is website, 222.4K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Databricks first

Put Databricks on the priority trial list when the task aligns with “Plataforma de Aprendizaje Automático” and especially Plataforma de Aprendizaje Automático, Base de Datos, Plataforma de IA, Apache Spark, Big data e Inteligencia de Negocios. This follows recorded positioning and does not imply unlisted capabilities are absent.

Databricks also currently records: pricing is freemium, product type is website, 5M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Airbyte and Databricks, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Preguntas frecuentes

How should I choose between Airbyte and Databricks?

Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.

Where does this comparison data come from?

The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.

What do unknown fields mean?

Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.