Compare Azure Databricks and Dataiku 
At a Glance
Market Segments
Enterprise (50.0% of reviews)
Enterprise (46.2% of reviews)
Entry-Level Pricing
No pricing available
Free 3 Users
Azure Databricks
Star Rating
(216)4.5 out of 5
Market Segments
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Azure DatabricksDataiku
Star Rating
(48)4.3 out of 5
Market Segments
Enterprise (46.2% of reviews)
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Dataiku excels in its Data Mining capabilities, achieving a score of 9.7, which reviewers mention makes it a strong choice for organizations focused on deep data analysis.
- Reviewers mention that Azure Databricks shines in Real-Time Analytics, with a score of 8.8, highlighting its ability to handle streaming data effectively, which is crucial for businesses needing immediate insights.
- G2 users note that Dataiku's Drag and Drop interface received a high score of 9.0, making it user-friendly for those who may not have extensive coding experience, while Azure Databricks scored slightly lower at 8.8.
- Users on G2 report that Azure Databricks offers superior Scalability with a score of 8.5, which reviewers mention is essential for enterprises looking to grow their data operations without performance issues.
- Reviewers say that Dataiku's Governed Discovery feature scored 9.0, indicating strong data governance capabilities, which users find beneficial for compliance and data management.
- Users report that Azure Databricks provides better Data Visualization tools, scoring 8.3, which reviewers mention enhances their ability to present data insights effectively compared to Dataiku's score of 7.5.
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Pricing
Entry-Level Pricing
Azure Databricks
No pricing availableDataiku
FREE EDITION | Install Dataiku on Your Infrastructure
Free
3 Users
Download on Mac, Linux, or virtual machine | Collaborate with up to 3 users | Prepare data and build basic data projects and apps (no deployment, automation, governance)
- Collaboration Features (3 Users)
- Visual Data Prep & AutoML
- Full Code (Python, R) Data Prep & ML
Free Trial
Azure Databricks
No trial information availableDataiku
Free Trial is available
Ratings
Meets Requirements
8.8
152
8.8
36
Ease of Use
8.7
151
8.8
36
Ease of Setup
8.7
65
7.6
19
Ease of Admin
8.5
57
7.5
12
Quality of Support
8.4
140
8.5
31
Has the product been a good partner in doing business?
8.8
56
8.1
12
Product Direction (% positive)
9.5
143
9.0
34
Features by Category
Reports
Not enough data
7.9
7
Not enough data
8.3
7
Not enough data
7.3
8
Not enough data
8.1
7
Not enough data
7.9
8
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Self Service
Not enough data
8.8
7
Not enough data
9.3
7
Not enough data
9.3
7
Not enough data
8.1
7
Not enough data
9.2
8
Not enough data
8.3
8
Advanced Analytics
Not enough data
9.0
7
Not enough data
7.9
8
Not enough data
9.2
8
Building Reports
Not enough data
9.3
9
Not enough data
8.8
8
Not enough data
8.6
6
Not enough data
8.9
9
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
Not enough data
8.4
18
Not enough data
8.4
17
Not enough data
8.8
20
Model Development
Not enough data
8.8
17
Not enough data
9.0
17
Not enough data
9.1
18
Not enough data
9.0
19
Model Development
Not enough data
8.9
20
Not enough data
9.0
20
Not enough data
8.8
20
Machine/Deep Learning Services
Not enough data
8.4
15
Not enough data
8.1
15
Not enough data
8.3
14
Not enough data
8.5
14
Machine/Deep Learning Services
Not enough data
8.8
16
Not enough data
8.5
14
Not enough data
8.3
14
Not enough data
8.6
17
Deployment
Not enough data
7.9
16
Not enough data
8.5
18
Not enough data
8.3
17
Deployment
Not enough data
8.6
17
Not enough data
8.5
18
Not enough data
8.5
18
Generative AI
Not enough data
8.8
8
Not enough data
8.3
8
Not enough data
8.5
8
Scalability and Performance - Generative AI Infrastructure
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Security and Compliance - Generative AI Infrastructure
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Usability and Support - Generative AI Infrastructure
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Statistical Tool
Not enough data
Not enough data
Not enough data
9.7
5
Not enough data
Not enough data
Data Analysis
Not enough data
9.0
5
Not enough data
9.3
5
Decision Making
Not enough data
Not enough data
Not enough data
8.0
5
Not enough data
8.7
5
Not enough data
9.0
5
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Data Transformation
8.8
121
|
Verified
8.1
9
9.3
74
|
Verified
Not enough data
Connectivity
8.3
111
|
Verified
8.3
7
9.0
124
|
Verified
9.0
8
9.0
120
|
Verified
8.0
9
9.1
123
|
Verified
8.9
9
Operations
8.3
118
|
Verified
7.5
8
8.6
118
|
Verified
8.9
9
8.4
109
|
Verified
9.0
8
8.4
103
|
Verified
8.3
9
9.3
68
|
Verified
Not enough data
Building Reports
Not enough data
9.3
9
Not enough data
8.8
8
Not enough data
8.6
6
Not enough data
8.9
9
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Azure Databricks and Dataiku are categorized as Big Data Analytics
Unique Categories
Azure Databricks has no unique categories
Reviews
Reviewers' Company Size
Azure Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
21.1%
Computer Software
12.6%
Retail
5.3%
Financial Services
4.7%
Hospital & Health Care
4.2%
Other
52.1%
Information Technology and Services
17.9%
Computer Software
12.8%
Pharmaceuticals
7.7%
Consulting
5.1%
Retail
5.1%
Other
51.3%
Most Helpful Reviews
Azure Databricks
Most Helpful Favorable Review
AKHIL K.
Verified User in Information Technology and Services
As a person who is working in the data field, it's a very important tool in my day-to-day life. I tried with a lot of platforms such as ubuntu to install Pyspark and work with data. But the benefit of azure data bricks is that is simplicity. A user-friendly...
Most Helpful Critical Review
karthik k.
Verified User in Computer Software
Despite having many features and guides, the Azure Databricks team does not offer any guidance for deploying new features or upgrading versions.
Dataiku
Most Helpful Favorable Review
Verified User in Information Technology and Services
1.Dataiku is one place tool where we can do work with data like Data Preparation Data Exploration automated AI ...
Most Helpful Critical Review
Verified User in Machinery
Glorified excel, slow to use and often is not very customizable
AKHIL K.
Verified User in Information Technology and Services
As a person who is working in the data field, it's a very important tool in my day-to-day life. I tried with a lot of platforms such as ubuntu to install Pyspark and work with data. But the benefit of azure data bricks is that is simplicity. A user-friendly...
Verified User in Information Technology and Services
1.Dataiku is one place tool where we can do work with data like Data Preparation Data Exploration automated AI ...
karthik k.
Verified User in Computer Software
Despite having many features and guides, the Azure Databricks team does not offer any guidance for deploying new features or upgrading versions.
Verified User in Machinery
Glorified excel, slow to use and often is not very customizable
Alternatives
Discussions
Is Azure Databricks PaaS or SAAS?
2 comments
PG
Its PaaS tool as it offers developers to build their ETL pipelines for large datasets using multi cluster environment of sparkRead more
What is the best way to databricks in ADF
1 comment
AS
Firstly, you need to create a Linked Service for ADF to connect to your Databricks Cluster. You can connect to as many clusters as you want.
Then create a...Read more
Can I securely work on my sensitive data?
2 comments
PB
Hi,
DSS is on-premise software but we also provide a Amazon image and Docker if desired. You can try DSS on your own computer for free by downloading the...Read more
Can I test Data Science Studio ?
1 comment
PB
Hi,
First of all, thanks for your interest. You can try DSS out for free on Dataiku's website (www.dataiku.com/try). You can download the Community Edition...Read more
How does Dataiku compare to competing products?
1 comment
Official Response from Dataiku
The best choice usually depends on your setup, needs, and use cases; that said, many of our customers switched to Dataiku because of the depth of our...Read more
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