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At a Glance
Market Segments
Enterprise (62.6% of reviews)
Small-Business (63.5% of reviews)
Entry-Level Pricing
Free 3 Users
Contact Us
Dataiku
Star Rating
(183)4.4 out of 5
Market Segments
Enterprise (62.6% of reviews)
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansSuperAnnotate
Star Rating
(172)4.9 out of 5
Market Segments
Small-Business (63.5% of reviews)
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that SuperAnnotate excels in Quality of Support with a score of 9.8, while Dataiku trails behind at 8.7. Reviewers mention that SuperAnnotate's support team is responsive and knowledgeable, making it easier to resolve issues quickly.
- Reviewers mention that SuperAnnotate offers superior Ease of Use with a score of 9.6 compared to Dataiku's 8.8. Users say that SuperAnnotate's intuitive interface and streamlined workflows significantly enhance user experience, especially for those new to annotation tools.
- G2 users highlight SuperAnnotate's Versioning capabilities, scoring a perfect 10.0, while Dataiku scores 8.6. Users report that SuperAnnotate's version control features allow for seamless tracking of changes, which is crucial for collaborative projects.
- Users on G2 emphasize the Template Library in SuperAnnotate, which scores 9.8, as a standout feature that simplifies the annotation process. In contrast, Dataiku's score of 8.1 indicates a less comprehensive offering in this area, making it harder for users to find pre-built solutions.
- Reviewers mention that SuperAnnotate's Batch Processing Support is exceptional, scoring 9.8, while Dataiku's score of 7.4 suggests limitations. Users report that SuperAnnotate allows for efficient handling of large datasets, which is a significant advantage for scaling projects.
- Users report that SuperAnnotate's Real-Time Performance Metrics feature, scoring 9.7, provides valuable insights during the annotation process, whereas Dataiku's score of 7.4 indicates a lack of real-time feedback, which can hinder decision-making.
Pricing
Entry-Level Pricing
Dataiku
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
SuperAnnotate
Pro
Contact Us
Get ready to scale your most sophisticated AI projects and MLOps needs
- Fully customizable multimodal editor
- Image, video, text, and audio editors
- Data curation and exploration
Free Trial
Dataiku
Free Trial is available
SuperAnnotate
Free Trial is available
Ratings
Meets Requirements
8.7
167
9.6
113
Ease of Use
8.7
166
9.6
118
Ease of Setup
8.1
128
9.6
78
Ease of Admin
8.0
60
9.6
46
Quality of Support
8.5
152
9.7
115
Has the product been a good partner in doing business?
8.6
60
9.7
47
Product Direction (% positive)
9.0
163
9.5
99
Features by Category
Reports
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
Not enough data
Data Preparation
8.7
65
Not enough data
8.2
63
Not enough data
Data Modeling and Blending
8.6
62
Not enough data
8.6
62
Not enough data
8.7
62
Not enough data
Generative AI
7.9
50
Not enough data
8.0
50
Not enough data
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
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
Not enough data
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
8.4
74
Not enough data
7.8
75
Not enough data
8.0
74
Not enough data
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
8.5
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
Not enough data
Deployment
8.1
15
9.8
10
8.7
15
9.2
11
8.6
15
9.3
9
8.9
15
9.7
10
9.0
15
9.5
10
Deployment
7.8
12
9.4
11
8.5
13
9.5
11
8.5
13
9.5
10
8.8
13
9.4
11
8.8
13
9.3
12
Management
7.6
13
9.3
9
8.5
13
9.0
10
8.3
13
9.2
8
7.8
13
9.6
8
Operations
8.5
13
9.3
9
8.3
13
9.2
8
8.8
13
9.2
8
Management
7.5
12
9.6
8
8.5
13
9.4
8
7.9
13
9.3
7
Generative AI
8.3
6
Not enough data
8.3
6
Not enough data
System
8.6
75
Not enough data
Model Development
8.4
78
Not enough data
8.8
77
Not enough data
8.6
78
Not enough data
8.5
77
Not enough data
Model Development
8.5
77
Not enough data
Machine/Deep Learning Services
8.0
74
Not enough data
8.1
74
Not enough data
7.9
73
Not enough data
7.9
72
Not enough data
Machine/Deep Learning Services
7.7
68
Not enough data
7.9
69
Not enough data
Deployment
8.1
74
Not enough data
8.2
77
Not enough data
8.3
76
Not enough data
Generative AI
8.1
60
Not enough data
8.0
60
Not enough data
7.7
59
Not enough data
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
Quality
Not enough data
9.7
76
Not enough data
9.6
74
Not enough data
9.7
74
Not enough data
9.7
68
Automation
Not enough data
9.3
57
Not enough data
9.5
47
Image Annotation
Not enough data
9.3
70
Not enough data
9.4
67
Not enough data
9.3
59
Not enough data
9.5
61
Natural Language Annotation
Not enough data
9.3
46
Not enough data
9.2
39
Not enough data
9.6
43
Speech Annotation
Not enough data
9.2
40
Not enough data
9.0
38
Scalability and Performance - Generative AI Infrastructure
7.8
16
Not enough data
7.5
16
Not enough data
7.4
14
Not enough data
Cost and Efficiency - Generative AI Infrastructure
6.9
15
Not enough data
6.9
7
Not enough data
7.6
7
Not enough data
Integration and Extensibility - Generative AI Infrastructure
7.1
15
Not enough data
7.1
14
Not enough data
7.0
14
Not enough data
Security and Compliance - Generative AI Infrastructure
7.0
14
Not enough data
7.0
14
Not enough data
7.4
14
Not enough data
Usability and Support - Generative AI Infrastructure
7.0
15
Not enough data
6.7
14
Not enough data
Integration - Machine Learning
8.7
26
Not enough data
Learning - Machine Learning
8.3
27
Not enough data
7.9
28
Not enough data
8.0
28
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.3
11
9.6
13
7.9
11
9.6
13
Inference Optimization - Large Language Model Operationalization (LLMOps)
7.1
11
9.4
12
Model Garden - Large Language Model Operationalization (LLMOps)
7.7
11
9.6
13
Custom Training - Large Language Model Operationalization (LLMOps)
7.6
11
9.5
13
Application Development - Large Language Model Operationalization (LLMOps)
7.9
11
9.4
13
Model Deployment - Large Language Model Operationalization (LLMOps)
8.5
11
9.5
11
7.7
11
9.4
13
Guardrails - Large Language Model Operationalization (LLMOps)
6.8
11
9.5
13
6.7
11
9.6
12
Model Monitoring - Large Language Model Operationalization (LLMOps)
7.3
11
9.4
12
7.4
11
9.5
11
Security - Large Language Model Operationalization (LLMOps)
7.6
11
9.5
11
7.4
11
9.4
11
Gateways & Routers - Large Language Model Operationalization (LLMOps)
7.1
11
9.4
12
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
8.2
35
Not enough data
8.5
35
Not enough data
8.0
35
Not enough data
Data Analysis
8.5
37
Not enough data
8.8
37
Not enough data
Decision Making
8.6
35
Not enough data
7.9
36
Not enough data
7.8
35
Not enough data
8.6
36
Not enough data
Generative AI
8.6
20
Not enough data
8.3
20
Not enough data
Data Transformation
8.5
44
Not enough data
9.2
39
Not enough data
Connectivity
8.2
38
Not enough data
8.3
40
Not enough data
8.7
41
Not enough data
8.9
44
Not enough data
Operations
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
Not enough data
Building Reports
8.5
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
Not enough data
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
Dataiku and SuperAnnotate are categorized as Large Language Model Operationalization (LLMOps) and MLOps Platforms
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SuperAnnotate
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
Financial Services
15.2%
Pharmaceuticals
7.6%
Retail
5.8%
Manufacturing
5.3%
Insurance
5.3%
Other
60.8%
Information Technology and Services
22.6%
Computer Software
16.4%
Research
6.9%
Higher Education
5.0%
Health, Wellness and Fitness
3.8%
Other
45.3%
Alternatives
Discussions
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
What is SuperAnnotate?
1 Comment
MM
SuperAnnotate is an end-to-end platform to annotate, version, and manage ground truth data for your AI.Read more
What is your experience with SuperAnnotate for data annotation, and what would you like to see improved?
1 Comment
ST
I have been invited to skill test for a few projects with superannotate over the past year or so, each resulting in the platform being buggy and not allowing...Read more
SuperAnnotate has no more discussions with answers
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