Compare Amazon SageMaker and Dataiku 
At a Glance
Market Segments
Enterprise (34.9% of reviews)
Enterprise (61.7% of reviews)
Entry-Level Pricing
No pricing available
Free 3 Users
Amazon SageMaker
Star Rating
(48)4.2 out of 5
Market Segments
Enterprise (34.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerDataiku
Star Rating
(189)4.4 out of 5
Market Segments
Enterprise (61.7% of reviews)
Pros & Cons
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.
- G2 reviewers report that Dataiku excels in user experience, particularly with its intuitive graphical user interface that simplifies managing code and datasets visually. Users appreciate how everything is automatically aligned, making the platform feel soothing and easy to navigate.
- Users say that Amazon SageMaker shines in its comprehensive support for the entire machine learning lifecycle. Reviewers highlight its seamless integration from data preparation to model deployment, allowing them to work efficiently without switching tools.
- According to verified reviews, Dataiku is favored for its ease of use, with many users noting that it is great for quickly prototyping and getting MVPs out. The platform's plug-and-play capabilities significantly speed up the development process.
- Reviewers mention that while Amazon SageMaker offers robust features, some users find it slightly less user-friendly compared to Dataiku. However, they appreciate its ability to deploy applications quickly and its cost-effectiveness, making it a practical choice for many.
- G2 reviewers highlight that Dataiku has a strong presence in the enterprise market, with a majority of its reviews coming from larger organizations. This suggests that it may be particularly well-suited for complex projects requiring collaboration across teams.
- Users report that while both platforms provide solid support, Amazon SageMaker receives slightly higher marks for its overall quality of support. Reviewers note that SageMaker's customer service is responsive and helpful, which can be crucial for users navigating the complexities of machine learning.
Pricing
Entry-Level Pricing
Amazon SageMaker
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
Amazon SageMaker
No trial information availableDataiku
Free Trial is available
Ratings
Meets Requirements
8.6
38
8.7
171
Ease of Use
8.4
39
8.8
170
Ease of Setup
8.5
26
8.1
132
Ease of Admin
8.4
20
8.0
61
Quality of Support
8.6
34
8.6
156
Has the product been a good partner in doing business?
9.2
20
8.6
61
Product Direction (% positive)
9.1
37
9.0
167
Features by Category
Reports
Not enough data
7.8
76
Not enough data
7.7
75
Not enough data
7.5
76
Not enough data
7.5
74
Not enough data
7.6
76
Data Preparation
Not enough data
8.7
65
Not enough data
8.2
63
Data Modeling and Blending
Not enough data
8.6
62
Not enough data
8.6
62
Not enough data
8.7
62
Generative AI
Not enough data
7.9
50
Not enough data
8.0
50
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
75
Not enough data
8.6
74
Not enough data
8.4
74
Not enough data
7.9
74
Not enough data
8.7
74
Not enough data
8.1
74
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
74
Not enough data
7.8
75
Not enough data
8.0
74
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
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
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
8.3
20
8.6
75
Model Development
8.7
29
8.4
78
8.2
28
8.8
77
8.3
33
8.6
78
8.9
33
8.5
77
Model Development
8.4
19
8.5
77
Machine/Deep Learning Services
8.9
26
8.0
74
9.1
28
8.1
74
8.9
25
7.9
73
9.0
28
7.9
72
Machine/Deep Learning Services
9.2
17
7.7
68
9.2
18
7.9
69
Deployment
8.7
33
8.1
74
8.7
33
8.2
77
9.0
31
8.3
76
Generative AI
8.6
6
8.1
60
9.2
6
8.0
60
8.3
5
7.7
59
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
Responses
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation - AI Agents
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
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Autonomy - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
8.1
18
Not enough data
7.6
19
Not enough data
7.5
16
Cost and Efficiency - Generative AI Infrastructure
Not enough data
7.0
17
Not enough data
7.3
10
Not enough data
8.1
9
Integration and Extensibility - Generative AI Infrastructure
Not enough data
7.5
17
Not enough data
7.7
18
Not enough data
7.5
17
Security and Compliance - Generative AI Infrastructure
Not enough data
7.3
16
Not enough data
7.4
16
Not enough data
7.7
16
Usability and Support - Generative AI Infrastructure
Not enough data
7.3
17
Not enough data
7.1
16
Integration - Machine Learning
Not enough data
8.7
26
Learning - Machine Learning
Not enough data
8.3
27
Not enough data
7.9
28
Not enough data
8.0
28
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
7.5
11
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.3
11
Not enough data
7.9
11
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
7.1
11
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
7.7
11
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
7.6
11
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
7.9
11
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
8.5
11
Not enough data
7.7
11
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
6.8
11
Not enough data
6.7
11
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
7.3
11
Not enough data
7.4
11
Security - Large Language Model Operationalization (LLMOps)
Not enough data
7.6
11
Not enough data
7.4
11
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
7.1
11
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Workflow Design & Integration - AI Orchestration
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
Performance Optimization & Analytics - AI Orchestration
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
Governance & Compliance Controls - AI Orchestration
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
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
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
35
Not enough data
8.5
35
Not enough data
8.0
35
Data Analysis
Not enough data
8.5
37
Not enough data
8.8
37
Decision Making
Not enough data
8.6
35
Not enough data
7.9
36
Not enough data
7.8
35
Not enough data
8.6
36
Generative AI
Not enough data
8.6
20
Not enough data
8.3
20
Data Transformation
Not enough data
8.5
44
Not enough data
9.2
39
Connectivity
Not enough data
8.2
38
Not enough data
8.3
40
Not enough data
8.7
41
Not enough data
8.9
44
Operations
Not enough data
8.1
42
Not enough data
9.1
41
Not enough data
8.7
40
Not enough data
8.6
40
Not enough data
8.9
35
Agentic AI - AI Agents
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
Building Reports
Not enough data
8.5
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
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
Amazon SageMaker and Dataiku are categorized as MLOps Platforms, Data Science and Machine Learning Platforms, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
Unique Categories
Amazon SageMaker has no unique categories
Reviews
Reviewers' Company Size
Amazon SageMaker
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
20.9%
Computer Software
16.3%
Marketing and Advertising
4.7%
Internet
4.7%
Education Management
4.7%
Other
48.8%
Financial Services
14.9%
Pharmaceuticals
7.4%
Retail
5.7%
Manufacturing
5.1%
Consulting
5.1%
Other
61.7%
Alternatives
Discussions
What is the best way to integrate Sagemaker models with Kubernetes?
1 Comment
VJ
https://aws.amazon.com/blogs/machine-learning/introducing-amazon-sagemaker-operators-for-kubernetes/Read more
How do i make this platform reach to most of my developers?
1 Comment
VJ
you can manage the access via IAM users and roles and give them access as per their need, Sagemaker by default has all the basic AWS feature and you can...Read more
Amazon SageMaker has no more discussions with answers
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
What data visualization and reporting methods do you support?
2 Comments
Official Response from Dataiku
Dataiku supports a number of tools for engaging stakeholders and team members, including:
- 25 types of interactive charts
- Dashboards that allow you...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
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