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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
(60)4.8 out of 5
Market Segments
Small-Business (52.5% 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 Quality of Support with a score of 8.9, while Encord has a perfect score of 10.0, indicating that Encord's support is highly regarded for its responsiveness and effectiveness.
  • Reviewers mention that Dataloop offers strong Data Quality features with a score of 9.1, but Encord outperforms with a score of 9.6, highlighting its superior capabilities in ensuring high-quality data for machine learning projects.
  • G2 users note that Dataloop's Ease of Use is rated at 8.8, which is commendable, but Encord shines brighter with a score of 9.5, suggesting that users find Encord more intuitive and user-friendly.
  • Users on G2 report that Dataloop's Model Training capabilities score 8.3, while Encord's score of 9.7 indicates a more robust and efficient model training process, making it a better choice for users focused on machine learning.
  • Reviewers say that Dataloop's Human-in-the-Loop feature scores 8.9, but Encord's score of 9.8 suggests a more effective integration of human feedback in the machine learning process, enhancing model accuracy.
  • Users report that Dataloop's Deployment features, particularly in Managed Service, score 8.9, while Encord achieves a perfect score of 10.0, indicating that Encord provides a more seamless and efficient deployment experience.
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
45
Ease of Use
8.8
76
9.5
46
Ease of Setup
8.5
40
8.3
10
Ease of Admin
8.8
20
7.8
10
Quality of Support
8.9
74
10.0
44
Has the product been a good partner in doing business?
8.8
20
9.3
10
Product Direction (% positive)
8.6
68
9.7
45
Features by Category
Not enough data
9.8
144
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
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Data Science and Machine Learning PlatformsHide 27 FeaturesShow 27 Features
8.6
179
9.7
86
System
9.0
8
9.0
5
8.6
6
Not enough data
8.5
8
Not enough data
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
8.1
8
Not enough data
7.9
8
9.7
5
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
9.0
8
9.7
5
8.6
6
Not enough data
8.3
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
Deployment
8.6
7
10.0
5
8.7
9
9.7
6
8.8
7
9.7
5
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
9.0
725
9.7
330
Quality
8.8
53
9.5
30
9.0
53
9.8
29
9.1
54
9.6
30
8.9
52
9.8
28
Automation
8.8
52
9.7
24
8.7
48
9.6
23
Image Annotation
9.2
51
9.6
29
9.2
52
9.4
26
9.1
50
9.1
22
9.2
51
9.7
23
Natural Language Annotation
9.0
43
9.7
13
8.9
42
10.0
13
8.9
45
9.9
15
Speech Annotation
9.0
40
9.9
13
8.9
39
9.9
12
8.7
465
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 has no unique categories
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.)
52.5%
Mid-Market(51-1000 emp.)
40.7%
Enterprise(> 1000 emp.)
6.8%
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
37.3%
Medical Devices
11.9%
Hospital & Health Care
11.9%
Food & Beverages
10.2%
Medical Practice
5.1%
Other
23.7%
Most Helpful Reviews
Dataloop
Dataloop
Most Helpful Favorable Review
George M.
GM
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
Remco V.
RV
Remco V.
Verified User in Biotechnology

uploading files is a big hassel most of the time

Encord
Encord
Most Helpful Favorable Review
Sorowar H.
SH
Sorowar H.
Verified User in Computer Software

Encord helps us classify and annotate large image datasets and provides analytics to monitor team performance.

Most Helpful Critical Review
BT
Bipul T.
Verified User in Information Technology and Services

The zoom feature. Its working mechanism is exactly opposite compared to rest of the platforms in computer world. It could be better by not eliminating the opposite working mechanism.

Alternatives
Dataloop
Dataloop Alternatives
V7
V7
Add V7
Labelbox
Labelbox
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Databricks Data Intelligence Platform
Databricks Data Intelligence Platform
Add Databricks Data Intelligence Platform
SuperAnnotate
SuperAnnotate
Add SuperAnnotate
Encord
Encord Alternatives
V7
V7
Add V7
SAP HANA Cloud
SAP HANA Cloud
Add SAP HANA Cloud
Vertex AI
Vertex AI
Add Vertex AI
MATLAB
MATLAB
Add MATLAB
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
Encord
Encord Discussions
Monty the Mongoose crying
Encord has no discussions with answers