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Compare Dataloop and SuperAnnotate

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At a Glance
Dataloop
Dataloop
Star Rating
(90)4.4 out of 5
Market Segments
Mid-Market (39.8% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about Dataloop
SuperAnnotate
SuperAnnotate
Star Rating
(163)4.9 out of 5
Market Segments
Small-Business (61.6% of reviews)
Information
Entry-Level Pricing
Free Trial
Browse all 3 pricing plans
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that Dataloop excels in Data Ingestion & Wrangling with a score of 9.0, while SuperAnnotate shines in Labeler Quality with an impressive score of 9.8, indicating that SuperAnnotate may provide a more refined labeling experience.
  • Reviewers mention that Dataloop's Model Training capabilities score 8.3, which is notably lower than SuperAnnotate's perfect score of 10.0, suggesting that users may find SuperAnnotate's model training features more robust and effective.
  • G2 users highlight that SuperAnnotate offers superior Integrations with a score of 10.0, compared to Dataloop's 8.3, making it a better choice for teams looking to connect with various tools and platforms seamlessly.
  • Users on G2 indicate that Dataloop's Human-in-the-Loop feature scores 8.9, while SuperAnnotate achieves a higher score of 9.7, suggesting that SuperAnnotate may provide a more effective collaborative labeling process.
  • Reviewers say that Dataloop's Scalability is rated at 8.3, which is lower than SuperAnnotate's perfect score of 10.0, indicating that SuperAnnotate may better accommodate growing data needs and larger projects.
  • Users report that SuperAnnotate's Facial Analysis and Face Comparison features both score 10.0, showcasing its strength in advanced image recognition tasks, while Dataloop's scores in these areas are lower, suggesting a potential gap in functionality for users focused on facial recognition.
Pricing
Entry-Level Pricing
Dataloop
No pricing available
SuperAnnotate
Starter
Free Trial
Browse all 3 pricing plans
Free Trial
Dataloop
No trial information available
SuperAnnotate
Free Trial is available
Ratings
Meets Requirements
8.7
75
9.6
105
Ease of Use
8.8
76
9.6
110
Ease of Setup
8.5
40
9.5
69
Ease of Admin
8.8
20
9.7
43
Quality of Support
8.9
74
9.8
107
Has the product been a good partner in doing business?
8.8
20
9.7
44
Product Direction (% positive)
8.6
68
9.5
91
Features by Category
Not enough data
10.0
13
Deployment
Not enough data
10.0
7
Not enough data
9.8
8
Not enough data
10.0
6
Not enough data
10.0
7
Not enough data
9.8
7
Deployment
Not enough data
9.6
9
Not enough data
9.8
9
Not enough data
10.0
9
Not enough data
9.8
9
Not enough data
9.6
9
Management
Not enough data
9.7
6
Not enough data
9.5
7
Not enough data
9.7
5
Not enough data
10.0
5
Operations
Not enough data
9.4
6
Not enough data
9.7
5
Not enough data
9.3
5
Management
Not enough data
10.0
5
Not enough data
9.7
5
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Science and Machine Learning PlatformsHide 34 FeaturesShow 34 Features
8.6
10
Not enough data
System
9.0
8
Not enough data
8.6
6
Not enough data
8.5
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
8.1
8
Not enough data
7.9
8
Not enough data
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
9.0
8
Not enough data
8.6
6
Not enough data
8.3
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
Deployment
8.6
7
Not enough data
8.7
9
Not enough data
8.8
7
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
9.0
58
9.6
81
Quality
8.8
53
9.7
70
9.0
53
9.6
68
9.1
54
9.6
69
8.9
52
9.6
63
Automation
8.8
52
9.3
52
8.7
48
9.4
42
Image Annotation
9.2
51
9.4
65
9.2
52
9.4
62
9.1
50
9.2
54
9.2
51
9.5
56
Natural Language Annotation
9.0
43
9.3
41
8.9
42
9.1
34
8.9
45
9.6
38
Speech Annotation
9.0
40
9.1
35
8.9
39
9.0
33
8.7
38
Not enough data
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
Not enough data
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
Not enough data
Not enough data
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
9.8
9
Not enough data
9.8
9
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
9.8
8
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.8
9
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.8
9
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
9
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.8
7
Not enough data
9.8
9
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
9
Not enough data
9.8
8
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.8
8
Not enough data
9.8
7
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.8
7
Not enough data
9.8
7
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
9.8
8
Categories
Categories
Shared Categories
Dataloop
Dataloop
SuperAnnotate
SuperAnnotate
Dataloop and SuperAnnotate are categorized as MLOps Platforms and Data Labeling
Reviews
Reviewers' Company Size
Dataloop
Dataloop
Small-Business(50 or fewer emp.)
33.0%
Mid-Market(51-1000 emp.)
39.8%
Enterprise(> 1000 emp.)
27.3%
SuperAnnotate
SuperAnnotate
Small-Business(50 or fewer emp.)
61.6%
Mid-Market(51-1000 emp.)
27.2%
Enterprise(> 1000 emp.)
11.3%
Reviewers' Industry
Dataloop
Dataloop
Information Technology and Services
27.3%
Computer Software
26.1%
Retail
2.3%
Research
2.3%
Oil & Energy
2.3%
Other
39.8%
SuperAnnotate
SuperAnnotate
Information Technology and Services
23.8%
Computer Software
13.9%
Research
7.3%
Higher Education
5.3%
Health, Wellness and Fitness
4.0%
Other
45.7%
Most Helpful Reviews
Dataloop
Dataloop
Most Helpful Favorable Review
Tanuj G.
TG
Tanuj G.
Verified User in Computer Software

Possitively I deliver my work to the organigazion which give me a good impact.

Most Helpful Critical Review
Verified User
G
Verified User in Computer Software

Their product is overcomplicated, buggy and lacks basic features

SuperAnnotate
SuperAnnotate
Most Helpful Favorable Review
Clement O.
CO
Clement O.
Verified User in Information Technology and Services

The platform is easy to use with a clean, intuitive interface.

Most Helpful Critical Review
Alternatives
Dataloop
Dataloop Alternatives
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SuperAnnotate
SuperAnnotate Alternatives
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Encord
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Discussions
Dataloop
Dataloop Discussions
What are the industries that Dataloop supports?
1 comment
Official Response from Dataloop
Dataloop is designed to be data agnostic, which enables us to support a broad spectrum of industries. Our platform's flexibility and advanced AI capabilities...Read more
What are the industries that Dataloop supports?
1 comment
Official Response from Dataloop
Dataloop is designed to be data agnostic, which enables us to support a broad spectrum of industries. Our platform's flexibility and advanced AI capabilities...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
SuperAnnotate
SuperAnnotate Discussions
SuperAnnotate is a platform designed for data annotation, management, and collaboration, often used in machine learning and artificial intelligence projects to label and organize data efficiently.
1 comment
Mikayel M.
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
Staci T.
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
Monty the Mongoose crying
SuperAnnotate has no more discussions with answers