What are the key differences between Dataiku and Databricks?

Compare Dataiku and Databricks side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are Dataiku and Databricks scored?

Dataiku has an AI score of 9.0/10 and Databricks has an AI score of 8.8/10. Scores are based on category fit, feature coverage, pricing signals, public reception, and recency.

Dataiku vs Databricks 2026 - Compared

Dataiku

Databricks

WINNER Databricks

Dataiku edges ahead with a score of 9.0/10 compared to 8.8/10 for Databricks. While both are highly rated in their respe...

Dataiku

8.33 Great

Data Analytics Get Dataiku open_in_new

emoji_events WINNER

Databricks

8.78 Great

Data Analytics Get Databricks open_in_new

Dataiku Pricing not available

payments

Databricks From $500/month Free plan available

psychology AI Verdict

Dataiku edges ahead with a score of 9.0/10 compared to 8.8/10 for Databricks. While both are highly rated in their respective fields, Dataiku demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: Databricks

verified Confidence: Low

Ready to decide? Get Databricks arrow_forward

description Overview

Dataiku

Dataiku is a collaborative data science platform that bridges the gap between data engineers, analysts, and data scientists. It provides a unified environment where teams can manage the entire lifecycle of a projectfrom data ingestion and preparation to model training and deployment. Dataiku's unique strength lies in its 'no-code/low-code' interface for business users combined with full Python/R s...

Databricks

Databricks pioneered the 'Data Lakehouse' architecture, merging the cost-effective storage of data lakes with the performance and governance of data warehouses. Built by the creators of Apache Spark, it is the industry leader for data engineering, machine learning, and advanced analytics. Databricks provides a unified workspace that facilitates collaboration between data engineers, data scientists...