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Compare Dataloop and Encord

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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
Encord
Encord
Star Rating
(62)4.8 out of 5
Market Segments
Small-Business (50.8% of reviews)
Information
Entry-Level Pricing
Contact Us
Learn more about Encord
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that Dataloop excels in Ease of Use with a score of 8.8, while Encord shines even brighter with a score of 9.5, indicating that Encord's interface is more intuitive and user-friendly.
  • Reviewers mention that Dataloop's Quality of Support is rated at 8.9, which is commendable, but Encord stands out with a perfect score of 10.0, suggesting that users find Encord's customer service to be exceptionally responsive and helpful.
  • G2 users highlight that Dataloop has a strong Labeler Quality score of 8.8, but Encord surpasses this with a score of 9.5, indicating that users find Encord's labeling tools to be more accurate and reliable.
  • Users on G2 report that Dataloop's Model Training capabilities are rated at 8.3, while Encord's features in this area receive a higher score of 9.7, suggesting that Encord offers more robust tools for model development and training.
  • Reviewers mention that Dataloop's Data Quality score is 9.1, which is impressive, but Encord's score of 9.6 indicates that users perceive Encord as providing superior data management and annotation capabilities.
  • Users say that Dataloop's Deployment features are rated at 9.8, showcasing its flexibility, but Encord matches this with a score of 9.6, indicating that both platforms are strong in deployment, though Encord's managed service aspect is rated higher at 10.0.
Pricing
Entry-Level Pricing
Dataloop
No pricing available
Encord
Simple and scalable pricing
Contact Us
Learn more about Encord
Free Trial
Dataloop
No trial information available
Encord
Free Trial is available
Ratings
Meets Requirements
8.7
75
9.3
47
Ease of Use
8.8
76
9.5
48
Ease of Setup
8.5
40
8.3
12
Ease of Admin
8.8
20
7.7
11
Quality of Support
8.9
74
9.9
46
Has the product been a good partner in doing business?
8.8
20
9.4
11
Product Direction (% positive)
8.6
68
9.8
47
Features by Category
Not enough data
9.8
9
Deployment
Not enough data
9.4
6
Not enough data
9.5
7
Not enough data
9.8
7
Not enough data
9.8
8
Not enough data
9.8
8
Deployment
Not enough data
10.0
6
Not enough data
9.5
7
Not enough data
9.5
7
Not enough data
9.6
8
Not enough data
10.0
8
Management
Not enough data
9.8
7
Not enough data
9.8
8
Not enough data
10.0
6
Not enough data
9.8
8
Operations
Not enough data
10.0
6
Not enough data
9.7
6
Not enough data
10.0
9
Management
Not enough data
10.0
7
Not enough data
10.0
8
Not enough data
9.8
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
9.7
7
System
9.0
8
9.0
5
Model Development
9.3
7
Not enough data
8.8
7
9.7
6
8.8
7
10.0
5
8.3
7
9.7
6
Model Development
8.3
8
Not enough data
Machine/Deep Learning Services
9.4
8
9.5
7
8.3
6
Not enough data
8.1
6
Not enough data
8.3
9
9.7
5
Machine/Deep Learning Services
8.6
6
Not enough data
8.3
9
9.7
5
Deployment
8.9
6
10.0
7
8.5
9
9.8
7
8.3
9
9.5
7
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
35
Quality
8.8
53
9.4
32
9.0
53
9.8
31
9.1
54
9.5
32
8.9
52
9.8
30
Automation
8.8
52
9.5
26
8.7
48
9.5
25
Image Annotation
9.2
51
9.6
31
9.2
52
9.3
28
9.1
50
9.2
24
9.2
51
9.7
25
Natural Language Annotation
9.0
43
9.6
15
8.9
42
9.7
15
8.9
45
9.6
17
Speech Annotation
9.0
40
9.6
15
8.9
39
9.5
14
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
Feature Not Available
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
Categories
Categories
Shared Categories
Unique Categories
Dataloop
Dataloop has no unique categories
Encord
Encord is categorized as Machine Learning
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%
Encord
Encord
Small-Business(50 or fewer emp.)
50.8%
Mid-Market(51-1000 emp.)
41.0%
Enterprise(> 1000 emp.)
8.2%
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%
Encord
Encord
Computer Software
36.1%
Medical Devices
11.5%
Hospital & Health Care
11.5%
Food & Beverages
9.8%
Information Technology and Services
8.2%
Other
23.0%
Alternatives
Dataloop
Dataloop Alternatives
Labelbox
Labelbox
Add Labelbox
V7 Darwin
V7 Darwin
Add V7 Darwin
SuperAnnotate
SuperAnnotate
Add SuperAnnotate
Databricks Data Intelligence Platform
Databricks Data Intelligence Platform
Add Databricks Data Intelligence Platform
Encord
Encord Alternatives
Labelbox
Labelbox
Add Labelbox
V7 Darwin
V7 Darwin
Add V7 Darwin
SAP HANA Cloud
SAP HANA Cloud
Add SAP HANA Cloud
SuperAnnotate
SuperAnnotate
Add SuperAnnotate
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
Encord
Encord Discussions
Monty the Mongoose crying
Encord has no discussions with answers