Compare Dataloop and SuperAnnotate 
Featured Products
At a Glance
Market Segments
Mid-Market (39.8% of reviews)
Small-Business (59.9% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
Dataloop
Star Rating
(90)4.4 out of 5
Market Segments
Mid-Market (39.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DataloopSuperAnnotate
Star Rating
(281)4.9 out of 5
Market Segments
Small-Business (59.9% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that SuperAnnotate excels in customer support, with users highlighting the platform's quick response times and effective problem-solving capabilities. One user noted, "Their patience was also tested as I faced a problem in logging in to the platform, and their powerful support contacted me on the spot."
- Users say that Dataloop provides a smooth user experience, with many praising its intuitive interface. A recent review mentioned, "As per my experience it's a very good tool that is working very well and smoothly," indicating that users feel comfortable navigating the platform.
- Reviewers mention that SuperAnnotate's AI-powered automation tools, such as smart polygon and auto-annotate, significantly reduce manual labeling time, making it a "powerhouse for AI data labeling." This feature is particularly appealing for teams looking to enhance efficiency in their workflows.
- According to verified reviews, Dataloop is appreciated for its authenticity and ability to make users feel at home within the platform. One user stated, "Dataloop is a very good tool that makes every single data person in your organization feel at home," showcasing its user-friendly approach.
- G2 reviewers highlight that SuperAnnotate has a higher overall satisfaction score compared to Dataloop, reflecting its strong market presence and user trust. Users have described their overall experience as "very smooth," which is crucial for teams relying on consistent performance.
- Users report that while Dataloop has a solid feature set, it may not always meet the specific needs of all users, with some mentioning configuration challenges. This contrasts with SuperAnnotate's versatility, which users find beneficial for a variety of labeling tasks.
Pricing
Entry-Level Pricing
Dataloop
No pricing availableSuperAnnotate
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
Dataloop
No trial information availableSuperAnnotate
Free Trial is available
Ratings
Meets Requirements
8.7
75
9.6
161
Ease of Use
8.8
76
9.6
167
Ease of Setup
8.5
40
9.5
125
Ease of Admin
8.8
20
9.6
51
Quality of Support
8.9
74
9.6
159
Has the product been a good partner in doing business?
8.8
20
9.7
52
Product Direction (% positive)
8.6
68
9.7
147
Features by Category
Deployment
Not enough data
9.7
12
Not enough data
9.3
12
Not enough data
9.3
10
Not enough data
9.6
12
Not enough data
9.5
11
Deployment
Not enough data
9.4
13
Not enough data
9.6
13
Not enough data
9.4
12
Not enough data
9.4
12
Not enough data
9.4
13
Management
Not enough data
9.3
10
Not enough data
9.0
12
Not enough data
9.3
9
Not enough data
9.6
9
Operations
Not enough data
9.3
10
Not enough data
9.3
9
Not enough data
9.4
11
Management
Not enough data
9.6
9
Not enough data
9.4
9
Not enough data
9.4
8
Generative AI
Not enough data
9.2
6
Not enough data
9.0
5
System
9.0
8
Not enough data
Model Development
9.3
7
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.3
7
Not enough data
Model Development
8.3
8
Not enough data
Machine/Deep Learning Services
9.4
8
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
8.3
9
Not enough data
Machine/Deep Learning Services
8.6
6
Not enough data
8.3
9
Not enough data
Deployment
8.9
6
Not enough data
8.5
9
Not enough data
8.3
9
Not enough data
Generative AI
7.9
7
Not enough data
8.5
8
Not enough data
9.2
6
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
8.8
53
9.6
90
9.0
53
9.6
102
9.1
54
9.6
86
8.9
52
9.7
95
Automation
8.8
52
9.3
68
8.7
48
9.5
54
Image Annotation
9.2
51
9.3
81
9.2
52
9.4
75
9.1
50
9.3
66
9.2
51
9.5
69
Natural Language Annotation
9.0
43
9.4
53
8.9
42
9.3
45
8.9
45
9.6
49
Speech Annotation
9.0
40
9.3
48
8.9
39
9.1
44
Recognition Type
8.4
34
Not enough data
9.0
36
Not enough data
8.6
35
Not enough data
8.4
32
Not enough data
8.8
32
Not enough data
8.7
33
Not enough data
8.5
33
Not enough data
8.8
33
Not enough data
Facial Recognition
8.8
33
Not enough data
8.6
32
Not enough data
Labeling
8.9
34
Not enough data
9.4
33
Not enough data
8.7
32
Not enough data
Deployment
8.3
33
Not enough data
Model Training & Optimization - Active Learning Tools
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 Management & Annotation - Active Learning Tools
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
Model Performance & Analysis - Active Learning Tools
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
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
9.6
19
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
17
Not enough data
9.7
16
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
14
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
16
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
17
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
16
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
13
Not enough data
9.4
15
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
17
Not enough data
9.7
16
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
15
Not enough data
9.6
14
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
13
Not enough data
9.5
14
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
14
Categories
Categories
Shared Categories
Dataloop and SuperAnnotate are categorized as Active Learning Tools, Data Labeling, and MLOps Platforms
Unique Categories
Dataloop is categorized as Data Science and Machine Learning Platforms and Image Recognition
SuperAnnotate is categorized as Large Language Model Operationalization (LLMOps)
Reviews
Reviewers' Company Size
Dataloop
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
Information Technology and Services
27.3%
Computer Software
26.1%
Accounting
2.3%
Retail
2.3%
Research
2.3%
Other
39.8%
Information Technology and Services
25.0%
Computer Software
15.4%
Research
5.3%
Higher Education
3.8%
Computer & Network Security
3.4%
Other
47.1%
Discussions
What are data annotations?
1 Comment
Official Response from Dataloop
Data annotations refer to the process of labeling or adding informative tags to raw data, which can include text, images, audio, or video. This process is...Read more
What are data annotations?
1 Comment
Official Response from Dataloop
Data annotations refer to the process of labeling or adding informative tags to raw data, which can include text, images, audio, or video. This process is...Read more
Is Dataloop free?
1 Comment
Official Response from Dataloop
Dataloop operates on a quote-based pricing model and does not currently offer a free plan. Our pricing is tailored to match the specific needs and scale of...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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