Compare Dataloop and SuperAnnotate 
At a Glance
Market Segments
Mid-Market (39.8% of reviews)
Small-Business (61.7% of reviews)
Entry-Level Pricing
No pricing available
Free
Dataloop
Star Rating
(90)4.4 out of 5
Market Segments
Mid-Market (39.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about DataloopSuperAnnotate
Star Rating
(144)4.9 out of 5
Market Segments
Small-Business (61.7% of reviews)
Entry-Level Pricing
Free
Browse all 3 pricing plansSummary
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 a remarkable score of 9.8, indicating a higher quality of annotations and labeling processes.
- Reviewers mention that Dataloop's Model Training efficiency is rated at 8.3, which is lower than SuperAnnotate's perfect score of 10.0, suggesting that users find SuperAnnotate's model training capabilities to be 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 more flexible choice for users needing to connect with various tools and platforms.
- Users on G2 report that Dataloop's Human-in-the-Loop feature scores 8.9, while SuperAnnotate's equivalent feature scores 9.7, indicating that SuperAnnotate provides a more effective collaborative approach in the annotation process.
- Reviewers mention that Dataloop's Scalability is rated at 8.3, which is lower than SuperAnnotate's score of 8.8, suggesting that users may find SuperAnnotate to be a better option for scaling their operations as their needs grow.
- Users say that SuperAnnotate's Facial Analysis feature is rated at 10.0, while Dataloop's equivalent feature scores 8.8, indicating that SuperAnnotate provides a more advanced solution for facial recognition tasks.
Pricing
Entry-Level Pricing
Dataloop
No pricing availableSuperAnnotate
Free Startup Plan
Free
Start using SuperAnnotate for free if you qualify for our early-stage startup program.
- Image Annotation
- Video Annotation
- Text Annotation
Free Trial
Dataloop
No trial information availableSuperAnnotate
No trial information availableRatings
Meets Requirements
8.7
75
9.6
88
Ease of Use
8.8
76
9.6
92
Ease of Setup
8.5
40
9.5
51
Ease of Admin
8.8
20
9.7
40
Quality of Support
8.9
74
9.9
90
Has the product been a good partner in doing business?
8.8
20
9.8
40
Product Direction (% positive)
8.6
68
9.4
76
Features by Category
Deployment
Not enough data
10.0
5
Not enough data
9.7
6
Not enough data
Not enough data
Not enough data
10.0
5
Not enough data
10.0
5
Deployment
Not enough data
10.0
7
Not enough data
10.0
7
Not enough data
10.0
7
Not enough data
10.0
7
Not enough data
10.0
7
Management
Not enough data
Not enough data
Not enough data
10.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
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
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Quality
8.8
53
9.7
55
9.0
53
9.7
53
9.1
54
9.8
56
8.9
52
9.7
48
Automation
8.8
52
9.3
37
8.7
48
9.6
27
Image Annotation
9.2
51
9.7
50
9.2
52
9.6
48
9.1
50
9.6
39
9.2
51
9.6
41
Natural Language Annotation
9.0
43
9.5
26
8.9
42
9.6
19
8.9
45
9.7
23
Speech Annotation
9.0
40
9.5
20
8.9
39
9.5
19
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
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
Not enough data
Not enough data
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Categories
Categories
Shared Categories
Dataloop and SuperAnnotate are categorized as MLOps Platforms and Data Labeling
Unique Categories
Dataloop is categorized as Data Science and Machine Learning Platforms, Image Recognition, Machine Learning, and Active Learning Tools
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%
Retail
2.3%
Research
2.3%
Oil & Energy
2.3%
Other
39.8%
Information Technology and Services
23.3%
Computer Software
11.3%
Research
8.3%
Higher Education
6.0%
Medical Practice
3.8%
Other
47.4%
Most Helpful Reviews
Dataloop
Most Helpful Favorable Review
George M.
Verified User in Information Technology and Services
DataLoop excels at constructing quality data infrastructure for unstructured data, streamlining computer-vision pipelines, and ensuring seamless integration with robust security measures. A reliable ally in modern data management.
Most Helpful Critical Review
Verified User in Computer Software
Their product is overcomplicated, buggy and lacks basic features
SuperAnnotate
Most Helpful Favorable Review
Akeem O.
Verified User in Pharmaceuticals
The ease of use of the platform within a project team for image annotation and project management is unparalleled.
Most Helpful Critical Review
George M.
Verified User in Information Technology and Services
DataLoop excels at constructing quality data infrastructure for unstructured data, streamlining computer-vision pipelines, and ensuring seamless integration with robust security measures. A reliable ally in modern data management.
Akeem O.
Verified User in Pharmaceuticals
The ease of use of the platform within a project team for image annotation and project management is unparalleled.
Verified User in Computer Software
Their product is overcomplicated, buggy and lacks basic features
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
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
SuperAnnotate has no more discussions with answers
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