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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
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Dataloop
SuperAnnotate
SuperAnnotate
Star Rating
(224)4.9 out of 5
Market Segments
Small-Business (61.8% of reviews)
Information
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plans
AI Generated Summary
AI-generated. Powered by real user reviews.
  • G2 reviewers report that SuperAnnotate excels in user experience, with many users praising its user-friendly interface and efficient project management capabilities. One user highlighted how it helps keep everything organized, making collaboration much easier.
  • Users say Dataloop offers a smooth experience, with feedback indicating that it effectively meets the needs of data teams. Reviewers appreciate its authenticity of projects and how it makes every data person in the organization feel at home.
  • According to verified reviews, SuperAnnotate stands out for its robust quality assurance tools, which help ensure accurate annotations. Users have noted that these built-in features significantly enhance the reliability of their data labeling tasks.
  • Reviewers mention that Dataloop, while effective, sometimes faces challenges in matching specific workflow needs, with some users noting configuration difficulties. However, they still commend its overall functionality and smooth operation.
  • G2 reviewers highlight SuperAnnotate's strong support and responsiveness, with many users feeling that they have a reliable partner in their data annotation projects. This level of support is a key factor in their satisfaction with the platform.
  • Users report that Dataloop has a solid performance in terms of data quality, with many praising its ability to handle various data types effectively. However, it still trails behind SuperAnnotate in overall user satisfaction and recent engagement, as indicated by the number of recent reviews.
Pricing
Entry-Level Pricing
Dataloop
No pricing available
SuperAnnotate
Pro
Contact Us
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
132
Ease of Use
8.8
76
9.6
137
Ease of Setup
8.5
40
9.6
96
Ease of Admin
8.8
20
9.6
51
Quality of Support
8.9
74
9.6
133
Has the product been a good partner in doing business?
8.8
20
9.7
52
Product Direction (% positive)
8.6
68
9.6
118
Features by Category
Not enough data
9.4
17
Deployment
Not enough data
9.8
10
Not enough data
9.2
11
Not enough data
9.3
9
Not enough data
9.7
10
Not enough data
9.5
10
Deployment
Not enough data
9.4
11
Not enough data
9.5
11
Not enough data
9.5
10
Not enough data
9.4
11
Not enough data
9.3
12
Management
Not enough data
9.3
9
Not enough data
9.0
10
Not enough data
9.2
8
Not enough data
9.6
8
Operations
Not enough data
9.3
9
Not enough data
9.2
8
Not enough data
9.2
8
Management
Not enough data
9.6
8
Not enough data
9.4
8
Not enough data
9.3
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
8.6
9
Not enough data
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
9.0
58
9.4
108
Quality
8.8
53
9.7
84
9.0
53
9.7
91
9.1
54
9.7
82
8.9
52
9.7
81
Automation
8.8
52
9.3
64
8.7
48
9.5
51
Image Annotation
9.2
51
9.4
77
9.2
52
9.4
72
9.1
50
9.3
64
9.2
51
9.5
65
Natural Language Annotation
9.0
43
9.4
51
8.9
42
9.3
43
8.9
45
9.6
47
Speech Annotation
9.0
40
9.3
45
8.9
39
9.1
42
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
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
16
Not enough data
9.7
15
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
15
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
16
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
15
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
12
Not enough data
9.4
14
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
16
Not enough data
9.7
15
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
14
Not enough data
9.6
13
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.6
12
Not enough data
9.5
13
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
13
Categories
Categories
Shared Categories
Dataloop
Dataloop
SuperAnnotate
SuperAnnotate
Dataloop and SuperAnnotate are categorized as Active Learning Tools, Data Labeling, and MLOps Platforms
Unique Categories
SuperAnnotate
SuperAnnotate is categorized as Large Language Model Operationalization (LLMOps)
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.)
61.8%
Mid-Market(51-1000 emp.)
28.1%
Enterprise(> 1000 emp.)
10.1%
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
24.7%
Computer Software
16.3%
Research
6.2%
Higher Education
4.5%
Health, Wellness and Fitness
3.4%
Other
44.9%
Alternatives
Dataloop
Dataloop Alternatives
Labelbox
Labelbox
Add Labelbox
V7 Darwin
V7 Darwin
Add V7 Darwin
Encord
Encord
Add Encord
Databricks Data Intelligence Platform
Databricks Data Intelligence Platform
Add Databricks Data Intelligence Platform
SuperAnnotate
SuperAnnotate Alternatives
Labelbox
Labelbox
Add Labelbox
V7 Darwin
V7 Darwin
Add V7 Darwin
Encord
Encord
Add Encord
Vertex AI
Vertex AI
Add Vertex AI
Discussions
Dataloop
Dataloop 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
SuperAnnotate
SuperAnnotate Discussions
What is SuperAnnotate?
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