Dataiku ist die Universal AI Platform™, die es Organisationen ermöglicht, KI- und Analyseanwendungen zu erstellen, bereitzustellen und zu verwalten. Sie bietet eine kollaborative End-to-End-Umgebung für alle, von Datenanalysten bis zu Datenwissenschaftlern, um mit Daten zu arbeiten, maschinelle Lernmodelle zu erstellen und unternehmensreife generative KI-Lösungen mit robuster Governance und Skalierbarkeit zu entwickeln.
dflux ist eine einheitliche No-Code/Low-Code-Datenwissenschaftsplattform, die es Unternehmen ermöglicht, End-to-End-Data-Engineering durchzuführen, Machine-Learning-Modelle zu erstellen und interaktive Visualisierungen zu generieren. Sie optimiert den gesamten Datenlebenszyklus von der Integration und Vorbereitung bis zur Modellbereitstellung und MLOps und macht fortschrittliche Analysen für technische und nicht-technische Benutzer zugänglich.
Dataiku ist die Universal AI Platform™, die es Organisationen ermöglicht, KI- und Analyseanwendungen zu erstellen, bereitzustellen und zu verwalten. Sie bietet eine kollaborative End-to-End-Umgebung für alle, von Datenanalysten bis zu Datenwissenschaftlern, um mit Daten zu arbeiten, maschinelle Lernmodelle zu erstellen und unternehmensreife generative KI-Lösungen mit robuster Governance und Skalierbarkeit zu entwickeln.
dflux ist eine einheitliche No-Code/Low-Code-Datenwissenschaftsplattform, die es Unternehmen ermöglicht, End-to-End-Data-Engineering durchzuführen, Machine-Learning-Modelle zu erstellen und interaktive Visualisierungen zu generieren. Sie optimiert den gesamten Datenlebenszyklus von der Integration und Vorbereitung bis zur Modellbereitstellung und MLOps und macht fortschrittliche Analysen für technische und nicht-technische Benutzer zugänglich.
| Feature | Dataiku | dflux |
|---|---|---|
| Hauptkategorie | Business Intelligence | Business Intelligence |
| Hinzugefügt | 2025-08-04 | 2025-08-06 |
| Preismodell | Freemium | Kostenpflichtig |
| Offizielle Website | www.dataiku.com | dflux.ai |
| Produkttyp | Website | Website |
| Performance data | ||
| Nutzerbewertung | Nicht verifiziert | Nicht verifiziert |
| Kommentare | 0 | 0 |
| Monatliche Besuche | 303.3K | 3.3K |
| Monatliches Wachstum | -3% | Nicht verifiziert |
| Favoriten | 85 | 103 |
| Details | Details ansehen | Details ansehen |
Compare Dataiku and dflux by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the Dataiku vs dflux monthly traffic comparison, Dataiku currently shows 303.3K visits and dflux shows 3.3K; Dataiku has about 91.8 times the visible traffic of dflux, an absolute difference of about 300K visits. This reflects visible reach, not feature quality or paid users.
Only Dataiku has complete third-party traffic details; dflux uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 38.95% | 118.1K |
| 🇫🇷France | 28.59% | 86.7K |
| 🇮🇪Ireland | 17.87% | 54.2K |
| 🇯🇵Japan | 8.74% | 26.5K |
| 🇮🇳India | 5.85% | 17.7K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direkt | 78.12% | 237K |
| Verweis | 16.17% | 49K |
| 5.71% | 17.3K |
This in-depth Dataiku vs dflux comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Dataiku is primarily listed under “Business Intelligence”, while dflux 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: Pricing (Dataiku: Freemium; dflux: Paid); Monthly visits (Dataiku: 303.3K; dflux: 3.3K); Favorites (Dataiku: 85; dflux: 103); Website (Dataiku: www.dataiku.com; dflux: dflux.ai); Added (Dataiku: 2025-08-04; dflux: 2025-08-06). These facts are more useful for selection than brand visibility alone.
In the Dataiku vs dflux monthly traffic comparison, Dataiku currently shows 303.3K visits and dflux shows 3.3K; Dataiku has about 91.8 times the visible traffic of dflux, an absolute difference of about 300K visits. This reflects visible reach, not feature quality or paid users.
Only Dataiku has complete third-party traffic details; dflux uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Dataiku and dflux currently overlap in shared categories: Business Intelligence und Low-Code No-Code; shared tags: AutoML, Business Intelligence, Datenwissenschaft, Low-Code, maschinelles Lernen und MLOps. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Dataiku's unique categories/tags are Plattform für Maschinelles Lernen, Analysen, KI-Governance, Datenanalyse, Datenaufbereitung, Unternehmens-KI und Generative KI; dflux's are Datenwissenschaft, Automatisierung, Datenengineering, Datenplattform, Datenvisualisierung, No-Code und Prädiktive Analyse. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
Dataiku has no verified rating, 0 comments, 85 favorites, and 79 likes；dflux has no verified rating, 0 comments, 103 favorites, and 100 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put Dataiku on the priority trial list when the task aligns with “Business Intelligence” and especially Plattform für Maschinelles Lernen, Analysen, KI-Governance, Datenanalyse, Datenaufbereitung und Unternehmens-KI. This follows recorded positioning and does not imply unlisted capabilities are absent.
Dataiku also currently records: pricing is freemium, product type is website, 303.3K 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.
Put dflux on the priority trial list when the task aligns with “Business Intelligence” and especially Datenwissenschaft, Automatisierung, Datenengineering, Datenplattform, Datenvisualisierung und No-Code. This follows recorded positioning and does not imply unlisted capabilities are absent.
dflux also currently records: pricing is paid, product type is website, 3.3K on-site monthly views, 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.
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 Dataiku and dflux, 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.
