Databricks vs Dataiku

Side-by-side comparison to help you choose the best tool.

Databricks

paid

Data & Analytics

4.6 / 5.0

Databricks is the leading data and AI platform built on Apache Spark, providing a unified lakehouse architecture for data engineering, ML, and AI. Its AI features include Mosaic AI for building, training, and fine-tuning LLMs, Unity Catalog for governing AI models, and DBRX - Databricks's own open-source LLM. Used by 9,000+ organisations including Comcast, Shell, and Block for enterprise data and AI.

Best for: Enterprises processing large-scale data who need a unified platform for data engineering, ML training, and LLM fine-tuning on their own data

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Dataiku

freemium

Data & Analytics

4.5 / 5.0

Enterprise AI and ML platform for collaborative data science, MLOps, and analytics with visual workflows and coding support for data teams. Dataiku brings together data analysts, engineers, and scientists on a single platform that supports both visual no-code workflows and full Python/R/SQL coding environments. Its MLOps features enable teams to deploy, monitor, and govern AI models at scale across the entire organisation.

Best for: Enterprise data teams needing full collaborative AI and ML platform

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Feature Comparison

Feature	Databricks	Dataiku
Pricing	paid	freemium
Category	Data & Analytics	Data & Analytics
Rating	★★★★½ 4.6	★★★★½ 4.5
Best For	Enterprises processing large-scale data who need a unified platform for data engineering, ML training, and LLM fine-tuning on their own data	Enterprise data teams needing full collaborative AI and ML platform
Views	59	62

Pros & Cons — Databricks

Pros

Best platform for large-scale data + AI together
Mosaic AI enables enterprise LLM fine-tuning
Open lakehouse prevents vendor lock-in

Cons

Expensive for smaller data volumes
Complexity requires specialised engineering expertise

Pros & Cons — Dataiku

Pros

Excellent collaboration across skill levels
Strong MLOps and model governance
Supports both visual and code workflows

Cons

Complex to administer for smaller teams
Full feature set requires Enterprise licence

Key Features — Databricks

Mosaic AI (LLM building & fine-tuning)
Unity Catalog AI governance
Apache Spark data processing
Delta Lake open format
DBRX open-source LLM

Key Features — Dataiku

Visual and code-based ML workflow builder
Full MLOps lifecycle management
Collaborative multi-persona data platform
AutoML and model explainability
LLM integration and generative AI support

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