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Compare Amazon Forecast and Encord 
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At a Glance
Market Segments
Small-Business (53.1% of reviews)
Small-Business (50.8% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
Amazon Forecast
Star Rating
(81)4.3 out of 5
Market Segments
Small-Business (53.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon ForecastEncord
Star Rating
(62)4.8 out of 5
Market Segments
Small-Business (50.8% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Learn more about EncordSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon Forecast excels in its scalability, with a score of 9.8, allowing businesses to grow without worrying about performance issues. In contrast, Encord also scores well in scalability at 10.0, but reviewers mention that its managed service feature is particularly beneficial for small businesses looking for a hassle-free deployment.
- Reviewers mention that Encord's quality of support is exceptional, scoring a perfect 10.0, which is a significant advantage for users who may need assistance during implementation. On the other hand, Amazon Forecast has a solid support score of 8.8, but users say they sometimes encounter delays in response times.
- G2 users highlight that Encord's ease of use is a standout feature, with a score of 9.5, making it accessible for users with varying technical backgrounds. Conversely, Amazon Forecast, while still user-friendly at 8.5, has been noted by users as having a steeper learning curve due to its more complex functionalities.
- Users on G2 report that Amazon Forecast's data ingestion and wrangling capabilities score 9.0, which is beneficial for users needing to manage large datasets efficiently. In comparison, Encord's focus on data quality with a score of 9.6 is praised by reviewers who appreciate its robust data management features.
- Reviewers mention that Encord shines in model training with a perfect score of 10.0 for its pre-built algorithms, which simplifies the process for users. Amazon Forecast, while effective, scores 9.7 in this area, and users say it requires more manual input to achieve similar results.
- Users report that Encord's collaboration features are top-notch, scoring 10.0, which is crucial for teams working on projects together. In contrast, Amazon Forecast's collaboration tools, while functional, score lower at 9.5, leading some users to feel that they lack certain integrations that could enhance teamwork.
Pricing
Entry-Level Pricing
Amazon Forecast
No pricing availableEncord
Simple and scalable pricing
Contact Us
Our pricing scales with your organization. Start building out your data annotation & active learning pipelines today.
- Computer vision labeling toolkit
- Model assisted labeling using your own models or our proprietary micro-models
- Automated object tracking and interpolation
Free Trial
Amazon Forecast
No trial information availableEncord
Free Trial is available
Ratings
Meets Requirements
8.9
65
9.3
47
Ease of Use
8.5
67
9.5
48
Ease of Setup
8.0
23
8.3
12
Ease of Admin
7.9
22
7.7
11
Quality of Support
8.8
66
9.9
46
Has the product been a good partner in doing business?
8.9
22
9.4
11
Product Direction (% positive)
8.4
65
9.8
47
Features by Category
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
System
Not enough data
9.0
5
Model Development
Not enough data
Not enough data
Not enough data
9.7
6
Not enough data
10.0
5
Not enough data
9.7
6
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
9.5
7
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
9.7
5
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
9.7
5
Deployment
Not enough data
10.0
7
Not enough data
9.8
7
Not enough data
9.5
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Quality
Not enough data
9.4
32
Not enough data
9.8
31
Not enough data
9.5
32
Not enough data
9.8
30
Automation
Not enough data
9.5
26
Not enough data
9.5
25
Image Annotation
Not enough data
9.6
31
Not enough data
9.3
28
Not enough data
9.2
24
Not enough data
9.7
25
Natural Language Annotation
Not enough data
9.6
15
Not enough data
9.7
15
Not enough data
9.6
17
Speech Annotation
Not enough data
9.6
15
Not enough data
9.5
14
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
Feature Not Available
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
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
Statistical Tool
8.4
28
Not enough data
8.7
26
Not enough data
8.6
30
Not enough data
Data Analysis
8.8
32
Not enough data
8.2
30
Not enough data
Decision Making
8.1
28
Not enough data
8.8
28
Not enough data
8.6
29
Not enough data
8.6
28
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Amazon Forecast and Encord are categorized as Machine Learning
Unique Categories
Amazon Forecast is categorized as Predictive Analytics and Time Series Intelligence
Encord is categorized as Active Learning Tools, Data Labeling, MLOps Platforms, Data Science and Machine Learning Platforms, and Image Recognition
Reviews
Reviewers' Company Size
Amazon Forecast
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Encord
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
Computer Software
21.0%
Information Technology and Services
14.8%
Retail
7.4%
Financial Services
6.2%
Hospital & Health Care
3.7%
Other
46.9%
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
Discussions
Amazon Forecast has no discussions with answers
Encord has no discussions with answers
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