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TigerLabel vs Amazon SageMaker

Break free from AWS lock-in. Get better UI, more annotation types, and the flexibility to deploy anywhere.

Why Teams Choose TigerLabel

Multi-cloud flexibility with enterprise-grade features

Not Locked to AWS

Deploy on any cloud (AWS, GCP, Azure) or on-premise. SageMaker Ground Truth locks you into the AWS ecosystem with no flexibility.

Superior User Interface

Modern, intuitive interface that labelers love. SageMaker's UI is clunky and requires significant training to use effectively.

More Annotation Types

Support for video tracking, medical imaging, audio, and advanced segmentation. SageMaker has limited annotation capabilities.

Easier to Use

No AWS expertise required. Set up projects in minutes, not hours. SageMaker requires deep AWS knowledge and complex configuration.

Multi-Cloud vs. AWS-Only

Deploy where your data lives, not where AWS wants it

Aspect
TigerLabel
SageMaker GT
Cloud Support
AWS, GCP, Azure, On-prem
AWS only
AWS Expertise Needed
None
Extensive
Setup Complexity
Simple, guided
Complex, technical
Data Types
10+ types
5 basic types
Interface Quality
Modern, intuitive
Basic, technical

Feature Comparison

Cloud & Deployment

Feature
TigerLabel
SageMaker GT
Multi-cloud support
AWS deployment
GCP deployment
Azure deployment
On-premise deployment
Hybrid cloud support

Annotation Tools

Feature
TigerLabel
SageMaker GT
Bounding boxes
Polygon & polyline
Semantic segmentation
Instance segmentation
3D point cloud tools
Video tracking
Medical imaging (DICOM)
Audio annotation

User Experience

Feature
TigerLabel
SageMaker GT
Intuitive interface
No AWS expertise required
Built-in collaboration
Real-time updates
Mobile-friendly

AI & Automation

Feature
TigerLabel
SageMaker GT
SAM 2 integration
GPT-4 Vision support
Custom model pre-labeling
Active learning
Auto-annotation

Workflow & Quality

Feature
TigerLabel
SageMaker GT
Visual workflow builder
Multi-stage review
Quality metrics
Consensus labeling
Custom quality rules

TigerLabel is Perfect For

Teams not committed to AWS ecosystem
Organizations with multi-cloud strategy
Companies needing on-premise deployment
Teams wanting better annotation tools
Projects requiring advanced data types
Organizations needing simpler setup
We were locked into AWS with SageMaker Ground Truth and frustrated by the limited UI and annotation options. TigerLabel gave us the freedom to deploy where we want with a platform our team actually enjoys using. The multi-cloud support was a game-changer.
Alex Thompson
Head of Infrastructure, CloudScale AI
3
Cloud providers
60%
Setup time saved
10x
Better UX
See TigerLabel in action

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