Compare Amazon Sagemaker Ground Truth and Kili 
At a Glance
Market Segments
Small-Business (36.8% of reviews)
Mid-Market (41.3% of reviews)
Entry-Level Pricing
No pricing available
Free Trial 5000 Annotations
Amazon Sagemaker Ground Truth
Star Rating
(19)4.1 out of 5
Market Segments
Small-Business (36.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon Sagemaker Ground TruthKili
Star Rating
(49)4.7 out of 5
Market Segments
Mid-Market (41.3% of reviews)
Entry-Level Pricing
Free Trial 5000 Annotations
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon Sagemaker Ground Truth excels in its Quality of Support, with a score of 9.6, which reviewers mention as being highly responsive and helpful, particularly for businesses needing quick resolutions.
- Reviewers mention that Kili shines in Ease of Use with a score of 8.8, highlighting its intuitive interface that simplifies the labeling process, making it accessible for teams with varying technical expertise.
- G2 users note that Amazon Sagemaker Ground Truth has a robust Human-in-the-Loop feature, scoring 9.1, which allows for continuous improvement of model accuracy through human feedback, a critical aspect for machine learning projects.
- Users on G2 report that Kili's Automation capabilities, particularly in Machine Learning Pre-Labeling (8.9) and Automatic Routing of Labeling (8.7), significantly reduce the time spent on manual tasks, enhancing overall productivity.
- Reviewers mention that Amazon Sagemaker Ground Truth's Labeler Quality score of 9.1 is a standout feature, as it ensures high-quality annotations, which is essential for training accurate machine learning models.
- Users say that Kili's Integration capabilities are impressive, particularly with its support for various Machine Learning frameworks, making it easier to incorporate into existing workflows and systems, which is a significant advantage for mid-market companies.
Pricing
Entry-Level Pricing
Amazon Sagemaker Ground Truth
No pricing availableKili
Free
Free Trial
5000 Annotations
For individual contributors, students and ML enthusiast developing small scale projects
- Image, video, text, PDFs, large images & rich text labeling interfaces
- 5,000 annotations maximum
- 5 users per project maximum
Free Trial
Amazon Sagemaker Ground Truth
No trial information availableKili
Free Trial is available
Ratings
Meets Requirements
8.2
13
9.1
27
Ease of Use
8.3
13
8.8
27
Ease of Setup
7.3
10
8.3
9
Ease of Admin
8.2
11
9.3
10
Quality of Support
9.6
13
9.5
26
Has the product been a good partner in doing business?
8.5
10
8.7
9
Product Direction (% positive)
8.9
11
10.0
31
Features by Category
Deployment
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
Deployment
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
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
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Data Science and Machine Learning PlatformsHide 27 FeaturesShow 27 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
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 Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Quality
Not enough data
9.1
19
Not enough data
9.2
22
Not enough data
9.0
21
Not enough data
9.1
20
Automation
Not enough data
8.9
19
Not enough data
8.7
13
Image Annotation
Not enough data
9.1
16
Not enough data
9.1
19
Not enough data
8.8
15
Not enough data
9.1
19
Natural Language Annotation
Not enough data
9.1
18
Not enough data
8.7
10
Not enough data
8.9
11
Speech Annotation
Not enough data
8.7
13
Not enough data
8.8
8
Recognition Type
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
Not enough data
Not enough data
Facial Recognition
Not enough data
Not enough data
Not enough data
Not enough data
Labeling
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
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
Amazon Sagemaker Ground Truth and Kili are categorized as Data Labeling
Unique Categories
Amazon Sagemaker Ground Truth has no unique categories
Kili is categorized as MLOps Platforms, Image Recognition, Data Science and Machine Learning Platforms, and Machine Learning
Reviews
Reviewers' Company Size
Amazon Sagemaker Ground Truth
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Kili
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
26.3%
Computer Software
21.1%
Education Management
10.5%
Medical Practice
5.3%
Market Research
5.3%
Other
31.6%
Information Technology and Services
43.5%
Computer Software
15.2%
Research
4.3%
Marketing and Advertising
4.3%
Environmental Services
4.3%
Other
28.3%
Most Helpful Reviews
Amazon Sagemaker Ground Truth
Most Helpful Favorable Review
Obaib E.
Verified User in Banking
This tool resolve one of the most popular problems into data mining and machine learning. It allows users to tag every data set content like audio, databases with large texts, images. This tasks make life much more easy for a data scientist.
Most Helpful Critical Review
Verified User in Information Technology and Services
It can be hard to use for people who do not have any machine learning experience. After the data is labeled by AWS SageMaker Ground Truth it has to be validated that the data has been labeled correctly. Some of the labels is inaccurate and they have to be...
Kili
Most Helpful Favorable Review
Anurag S.
Verified User in Computer Software
Super smooth UI makes the annotations work simple by loads, this makes the workflow simpler and proportionality increasing the productivity of the team.
Most Helpful Critical Review
Obaib E.
Verified User in Banking
This tool resolve one of the most popular problems into data mining and machine learning. It allows users to tag every data set content like audio, databases with large texts, images. This tasks make life much more easy for a data scientist.
Anurag S.
Verified User in Computer Software
Super smooth UI makes the annotations work simple by loads, this makes the workflow simpler and proportionality increasing the productivity of the team.
Verified User in Information Technology and Services
It can be hard to use for people who do not have any machine learning experience. After the data is labeled by AWS SageMaker Ground Truth it has to be validated that the data has been labeled correctly. Some of the labels is inaccurate and they have to be...
Discussions
Amazon Sagemaker Ground Truth has no discussions with answers
Kili has no discussions with answers
Hunting for software insights?
With over 2.5 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
or continue with
Gmail.com addresses not permitted. A business domain using Google is allowed.
By proceeding, you agree to our Terms of Use and Privacy Policy
