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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.

VS
Definite
Business Intelligence · 15.4K monatliche besuche

Definite ist eine KI-gestützte All-in-One-Datenanalyseplattform, die Datenintegration, Warehousing und Business Intelligence kombiniert. Sie ermöglicht es Teams, Hunderte von Datenquellen zu verbinden, Fragen in einfacher Sprache zu stellen und Dashboards ohne technischen Aufwand zu erstellen, um verstreute Daten in Minutenschnelle in handlungsrelevante Erkenntnisse umzuwandeln.

Databricks vs Definite: Preise, Funktionen und Traffic

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

Aktualisiert 05.08.2026

Produktübersicht

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

Definite Produktübersicht

Definite ist eine KI-gestützte All-in-One-Datenanalyseplattform, die Datenintegration, Warehousing und Business Intelligence kombiniert. Sie ermöglicht es Teams, Hunderte von Datenquellen zu verbinden, Fragen in einfacher Sprache zu stellen und Dashboards ohne technischen Aufwand zu erstellen, um verstreute Daten in Minutenschnelle in handlungsrelevante Erkenntnisse umzuwandeln.

Preview

Detailed feature comparison

FeatureDatabricksDefinite
HauptkategoriePlattform für Maschinelles LernenBusiness Intelligence
Hinzugefügt2025-08-122025-08-10
PreismodellFreemiumFreemium
Offizielle Websitewww.databricks.comwww.definite.app
ProdukttypWebsiteWebsite
Performance data
NutzerbewertungNicht verifiziertNicht verifiziert
Kommentare00
Monatliche Besuche5M15.4K
Monatliches Wachstum-2.7%15.4%
Favoriten129112
DetailsDetails ansehenDetails ansehen

Databricks vs Definite monthly traffic

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

How to interpret the traffic data

In the Databricks vs Definite monthly traffic comparison, Databricks currently shows 5M visits and Definite shows 15.4K; Databricks has about 324.7 times the visible traffic of Definite, an absolute difference of about 5M 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.

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

Definite monthly traffic:

Latest traffic

Monatliche Besuche
15.4K
Ø Besuchsdauer
0:14
Seiten pro Besuch
1.87
Absprungrate
37.78%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 10.7K Monatliche Besuche
  • 2026/1: 14.5K Monatliche Besuche
  • 2026/2: 12.4K Monatliche Besuche
  • 2026/3: 12.3K Monatliche Besuche
  • 2026/4: 13.4K Monatliche Besuche
  • 2026/5: 15.4K Monatliche Besuche

Top-Regionen

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States52.62%8.1K
🇩🇪Germany13.73%2.1K
🇮🇳India12.72%2K
🇮🇩Indonesia10.99%1.7K
🇬🇧United Kingdom9.94%1.5K

Suchbegriffe

apache iceberg query enginedata queringdefinite reportinggong integrartion brazeis stripe sigma worth it
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 Databricks and Definite

Databricks Core features

Business Intelligence
Datenbank
Plattform für Maschinelles Lernen

Definite Core features

Business Intelligence
Datenbank
Datenanalyse

Use cases

Databricks Use cases

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

Definite Use cases

Business Intelligence
Data Warehouse
ETL
KI-Assistent
Dashboard
Datenanalyse
Datenvisualisierung
No-Code
Startup-Tools
Text zu SQL

Databricks vs Definite:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Databricks vs Definite comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Databricks is primarily listed under “Plattform für Maschinelles Lernen”, while Definite is primarily listed under “Business Intelligence”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Databricks: Plattform für Maschinelles Lernen; Definite: Business Intelligence); Monthly visits (Databricks: 5M; Definite: 15.4K); Monthly growth (Databricks: -2.7%; Definite: 15.4%); Favorites (Databricks: 129; Definite: 112); Website (Databricks: www.databricks.com; Definite: www.definite.app). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Databricks vs Definite monthly traffic comparison, Databricks currently shows 5M visits and Definite shows 15.4K; Databricks has about 324.7 times the visible traffic of Definite, an absolute difference of about 5M 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

Databricks and Definite currently overlap in shared categories: Business Intelligence und Datenbank; shared tags: Business Intelligence, Data Warehouse und ETL. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Databricks's unique categories/tags are Plattform für Maschinelles Lernen, KI-Plattform, Apache Spark, Big Data, Datenengineering, Datenplattform, Generative KI und Lakehouse; Definite's are Datenanalyse, KI-Assistent, Dashboard, Datenvisualisierung, No-Code, Startup-Tools und Text zu SQL. 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

Databricks has no verified rating, 0 comments, 129 favorites, and 115 likes;Definite has no verified rating, 0 comments, 112 favorites, and 99 likes。

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

Selection guidance by actual need

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, KI-Plattform, Apache Spark, Big Data, Datenengineering und Datenplattform. 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.

When to evaluate Definite first

Put Definite on the priority trial list when the task aligns with “Business Intelligence” and especially Datenanalyse, KI-Assistent, Dashboard, Datenvisualisierung, No-Code und Startup-Tools. This follows recorded positioning and does not imply unlisted capabilities are absent.

Definite also currently records: pricing is freemium, product type is website, 15.4K 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.

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 Databricks and Definite, 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 Databricks and Definite?
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.