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Airbyte
Datenpipelines · 222.4K monatliche besuche

Airbyte ist eine Open-Source-Datenintegrationsplattform, die das Erstellen und Verwalten von Datenpipelines vereinfacht. Sie ermöglicht es Ihnen, Daten aus Hunderten von Quellen in wenigen Minuten an Ziele wie Data Warehouses, Lakes und Vektordatenbanken zu verschieben, indem Sie einen riesigen Katalog vorgefertigter Konnektoren verwenden oder mit einem Low-Code-Builder eigene erstellen. Es unterstützt sowohl Cloud- als auch selbst gehostete Bereitstellungen und konzentriert sich auf Datensicherheit, Governance und Skalierbarkeit für moderne Daten- und KI-Anwendungen.

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Databricks
Plattform für Maschinelles Lernen · 5M monatliche besuche

Databricks ist eine einheitliche Datenintelligenz-Plattform, die Data Warehousing und Data Lakes in einer Lakehouse-Architektur kombiniert. Sie ermöglicht es Unternehmen, den gesamten Datenlebenszyklus zu verwalten, von der Daten-Engineering und ETL bis hin zu Business Intelligence, Data Science und groß angelegten generativen KI-Anwendungen, alles auf einer einzigen, kollaborativen Plattform.

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Airbyte vs Databricks: Preise, Funktionen und Traffic

Vergleiche Airbyte und Databricks nach Positionierung, Preis, Funktionen, Traffic und Nutzerfeedback.

Aktualisiert 05.08.2026

Produktübersicht

Airbyte Produktübersicht

Airbyte ist eine Open-Source-Datenintegrationsplattform, die das Erstellen und Verwalten von Datenpipelines vereinfacht. Sie ermöglicht es Ihnen, Daten aus Hunderten von Quellen in wenigen Minuten an Ziele wie Data Warehouses, Lakes und Vektordatenbanken zu verschieben, indem Sie einen riesigen Katalog vorgefertigter Konnektoren verwenden oder mit einem Low-Code-Builder eigene erstellen. Es unterstützt sowohl Cloud- als auch selbst gehostete Bereitstellungen und konzentriert sich auf Datensicherheit, Governance und Skalierbarkeit für moderne Daten- und KI-Anwendungen.

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Databricks Produktübersicht

Databricks ist eine einheitliche Datenintelligenz-Plattform, die Data Warehousing und Data Lakes in einer Lakehouse-Architektur kombiniert. Sie ermöglicht es Unternehmen, den gesamten Datenlebenszyklus zu verwalten, von der Daten-Engineering und ETL bis hin zu Business Intelligence, Data Science und groß angelegten generativen KI-Anwendungen, alles auf einer einzigen, kollaborativen Plattform.

Preview

Detailed feature comparison

FeatureAirbyteDatabricks
HauptkategorieDatenpipelinesPlattform für Maschinelles Lernen
Hinzugefügt2025-08-062025-08-12
PreismodellFreemiumFreemium
Offizielle Websiteairbyte.comwww.databricks.com
ProdukttypWebsiteWebsite
Performance data
NutzerbewertungNicht verifiziertNicht verifiziert
Kommentare00
Monatliche Besuche222.4K5M
Monatliches Wachstum2.2%-2.7%
Favoriten88129
DetailsDetails ansehenDetails ansehen

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

Monatliche Besuche
222.4K
Ø Besuchsdauer
2:50
Seiten pro Besuch
4.3
Absprungrate
39.01%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 319.7K Monatliche Besuche
  • 2026/1: 328.9K Monatliche Besuche
  • 2026/2: 225.2K Monatliche Besuche
  • 2026/3: 240.3K Monatliche Besuche
  • 2026/4: 217.6K Monatliche Besuche
  • 2026/5: 222.4K Monatliche Besuche

Top-Regionen

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States32.27%71.8K
🇸🇻El Salvador31.61%70.3K
🇮🇳India13.68%30.4K
🇩🇪Germany11.87%26.4K
🇪🇸Spain10.57%23.5K

Traffic-Quellen

Source typePercentageTraffic
Direkt83.15%184.9K
Verweis12.79%28.4K
E-Mail4.06%9K

Suchbegriffe

airbyteairbyte cloudairbyte estimatorcomposiofivetran

Databricks monthly traffic:

Latest traffic

Monatliche Besuche
5M
Ø Besuchsdauer
11:35
Seiten pro Besuch
15.84
Absprungrate
29.58%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 4.9M Monatliche Besuche
  • 2026/1: 4.9M Monatliche Besuche
  • 2026/2: 4.6M Monatliche Besuche
  • 2026/3: 5.3M Monatliche Besuche
  • 2026/4: 5.1M Monatliche Besuche
  • 2026/5: 5M Monatliche Besuche

Top-Regionen

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States55.22%2.8M
🇮🇳India28.18%1.4M
🇬🇧United Kingdom8.15%408.1K
🇨🇦Canada4.31%215.8K
🇧🇷Brazil4.14%207.3K

Traffic-Quellen

Source typePercentageTraffic
Direkt83.28%4.2M
Verweis13.02%652K
E-Mail3.7%185.3K

Suchbegriffe

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

Business Intelligence
Datenpipelines
Datenintegration

Databricks Core features

Business Intelligence
Plattform für Maschinelles Lernen
Datenbank

Use cases

Airbyte Use cases

Datenengineering
ETL
KI-Daten
CDC
Konnektoren
Datengovernance
Datenintegration
Datenbewegung
Datenpipeline
ELT
Open Source
Vektordatenbank

Databricks Use cases

Datenengineering
ETL
KI-Plattform
Apache Spark
Big Data
Business Intelligence
Datenplattform
Data Warehouse
Generative KI
Lakehouse
maschinelles Lernen

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 “Datenpipelines”, while Databricks is primarily listed under “Plattform für Maschinelles Lernen”, 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: Datenpipelines; Databricks: Plattform für Maschinelles Lernen); 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

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.

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: Business Intelligence; shared tags: Datenengineering und 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 Datenpipelines, Datenintegration, KI-Daten, CDC, Konnektoren, Datengovernance, Datenbewegung und Datenpipeline; Databricks's are Plattform für Maschinelles Lernen, Datenbank, KI-Plattform, Apache Spark, Big Data, Business Intelligence, Datenplattform und Data Warehouse. 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 “Datenpipelines” and especially Datenpipelines, Datenintegration, KI-Daten, CDC, Konnektoren und Datengovernance. 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 “Plattform für Maschinelles Lernen” and especially Plattform für Maschinelles Lernen, Datenbank, KI-Plattform, Apache Spark, Big Data und Business Intelligence. 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.

Vergleichs-FAQ

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.