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Compare Azure Databricks and Dataiku 
At a Glance
Market Segments
Enterprise (50.0% of reviews)
Enterprise (64.8% of reviews)
Entry-Level Pricing
No pricing available
Free 3 Users
Azure Databricks
Star Rating
(218)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
(175)4.4 out of 5
Market Segments
Enterprise (64.8% 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 Preparation capabilities, particularly with its Drag and Drop interface, which received a score of 9.0. In contrast, Azure Databricks, while strong in Data Transformation, scored slightly lower at 9.0, indicating a more complex user experience.
- Reviewers mention that Azure Databricks shines in Real-Time Analytics, achieving a score of 8.8, which is higher than Dataiku's score of 8.1. This makes Azure Databricks a preferred choice for users needing immediate insights from their data.
- G2 users highlight that Dataiku's Governed Discovery feature scored 9.0, indicating strong support for data governance, while Azure Databricks scored 8.4 in the same area, suggesting that Dataiku may offer more robust governance tools for enterprise users.
- Users on G2 report that Azure Databricks provides superior Scalability with a score of 8.5 compared to Dataiku's 8.3. This is particularly beneficial for organizations looking to scale their data operations efficiently.
- Reviewers say that Dataiku's Model Development capabilities, particularly its Pre-Built Algorithms, scored 9.1, which is higher than Azure Databricks' score of 8.9. This suggests that Dataiku may offer more accessible tools for users focused on developing machine learning models.
- Users report that Azure Databricks has a more favorable Ease of Setup with a score of 8.7 compared to Dataiku's 7.6. This indicates that users may find Azure Databricks easier to implement in their existing workflows.
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Pricing
Entry-Level Pricing
Azure Databricks
No pricing availableDataiku
Install Dataiku on Your Infrastructure
Free
3 Users
Download Free Edition 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)
- Visual Data Prep & AutoML
- Full Code (Python, R) Data Prep & ML
- The LLM Mesh
Free Trial
Azure Databricks
No trial information availableDataiku
Free Trial is available
Ratings
Meets Requirements
8.8
154
8.8
158
Ease of Use
8.7
153
8.8
157
Ease of Setup
8.8
67
8.1
120
Ease of Admin
8.5
58
8.0
58
Quality of Support
8.4
142
8.6
143
Has the product been a good partner in doing business?
8.8
57
8.6
58
Product Direction (% positive)
9.5
145
9.0
154
Features by Category
Reports
Not enough data
7.8
75
Not enough data
7.7
74
Not enough data
7.5
75
Not enough data
7.5
73
Not enough data
7.6
75
Data Preparation
Not enough data
8.7
64
Not enough data
8.2
62
Data Modeling and Blending
Not enough data
8.6
61
Not enough data
8.6
61
Not enough data
8.7
61
Generative AI
Not enough data
8.0
49
Not enough data
8.1
49
Agentic AI - Analytics Platforms
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
Self Service
Not enough data
8.2
74
Not enough data
8.6
73
Not enough data
8.4
73
Not enough data
7.9
73
Not enough data
8.7
73
Not enough data
8.1
73
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
Not enough data
8.4
73
Not enough data
7.8
74
Not enough data
8.1
73
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
8.5
89
Not enough data
8.6
86
Not enough data
7.8
83
Not enough data
8.1
87
Deployment
Not enough data
8.1
15
Not enough data
8.7
15
Not enough data
8.6
15
Not enough data
8.9
15
Not enough data
9.0
15
Deployment
Not enough data
7.8
12
Not enough data
8.5
13
Not enough data
8.5
13
Not enough data
8.8
13
Not enough data
8.8
13
Management
Not enough data
7.6
13
Not enough data
8.5
13
Not enough data
8.3
13
Not enough data
7.8
13
Operations
Not enough data
8.5
13
Not enough data
8.3
13
Not enough data
8.8
13
Management
Not enough data
7.5
12
Not enough data
8.5
13
Not enough data
7.9
13
Generative AI
Not enough data
8.3
6
Not enough data
8.3
6
System
Not enough data
8.6
73
Not enough data
8.3
72
Not enough data
8.5
76
Model Development
Not enough data
8.4
76
Not enough data
8.8
75
Not enough data
8.6
76
Not enough data
8.5
75
Model Development
Not enough data
8.6
73
Not enough data
8.3
75
Not enough data
8.5
75
Machine/Deep Learning Services
Not enough data
8.0
72
Not enough data
8.1
72
Not enough data
7.9
71
Not enough data
8.0
70
Machine/Deep Learning Services
Not enough data
7.7
69
Not enough data
7.8
66
Not enough data
7.8
65
Not enough data
8.0
67
Deployment
Not enough data
8.2
72
Not enough data
8.3
75
Not enough data
8.3
74
Deployment
Not enough data
8.2
67
Not enough data
8.3
68
Not enough data
8.3
68
Generative AI
Not enough data
8.1
58
Not enough data
8.0
58
Not enough data
7.7
57
Agentic AI - Data Science and Machine Learning Platforms
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
Scalability and Performance - Generative AI Infrastructure
Not enough data
8.3
9
Not enough data
8.1
9
Not enough data
7.6
7
Cost and Efficiency - Generative AI Infrastructure
Not enough data
7.1
8
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
7.5
8
Not enough data
7.4
7
Not enough data
7.6
7
Security and Compliance - Generative AI Infrastructure
Not enough data
7.9
7
Not enough data
7.4
7
Not enough data
7.6
7
Usability and Support - Generative AI Infrastructure
Not enough data
6.9
8
Not enough data
6.4
7
Integration - Machine Learning
Not enough data
8.7
25
Learning - Machine Learning
Not enough data
8.3
26
Not enough data
7.9
27
Not enough data
8.0
27
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
8.5
10
Not enough data
8.0
10
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
7.3
10
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
7.7
10
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
7.7
10
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
8.2
10
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
8.5
10
Not enough data
7.8
10
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
7.0
10
Not enough data
6.7
10
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
7.3
10
Not enough data
7.3
10
Security - Large Language Model Operationalization (LLMOps)
Not enough data
7.7
10
Not enough data
7.7
10
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
7.0
10
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
8.2
34
Not enough data
8.6
34
Not enough data
8.0
34
Data Analysis
Not enough data
8.5
36
Not enough data
8.8
36
Decision Making
Not enough data
8.6
34
Not enough data
7.9
35
Not enough data
7.7
34
Not enough data
8.6
35
Generative AI
Not enough data
8.6
19
Not enough data
8.2
19
Data Transformation
8.8
123
|
Verified
8.5
43
9.3
76
|
Verified
9.2
38
Connectivity
8.4
113
|
Verified
8.3
37
9.0
126
|
Verified
8.3
39
9.0
122
|
Verified
8.8
40
9.1
125
|
Verified
9.0
43
Operations
8.3
120
|
Verified
8.1
41
8.6
120
|
Verified
9.2
40
8.4
111
|
Verified
8.7
39
8.5
105
|
Verified
8.7
39
9.3
70
|
Verified
8.9
34
Building Reports
Not enough data
8.5
89
Not enough data
8.6
86
Not enough data
7.8
83
Not enough data
8.1
87
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
21.4%
Computer Software
12.5%
Retail
5.2%
Financial Services
4.7%
Hospital & Health Care
4.2%
Other
52.1%
Financial Services
15.4%
Pharmaceuticals
8.0%
Retail
6.2%
Manufacturing
5.6%
Insurance
5.6%
Other
59.3%
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
Mayra L.
Verified User in Consumer Goods
All perfect! I have no problems with the process system.
Dataiku
Most Helpful Favorable Review
Jerica B.
Verified User in Architecture & Planning
You can manage any kind of data flow all the way.
Most Helpful Critical Review
Verified User in Financial Services
For my particular application if the software which was developing ML models, it was not necessary and I find using open source libraries like Pandas with my preferred python IDE to be the most versatile
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...
Jerica B.
Verified User in Architecture & Planning
You can manage any kind of data flow all the way.
Mayra L.
Verified User in Consumer Goods
All perfect! I have no problems with the process system.
Verified User in Financial Services
For my particular application if the software which was developing ML models, it was not necessary and I find using open source libraries like Pandas with my preferred python IDE to be the most versatile
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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