Databricks vs Supervisely
Side-by-side comparison of features, pricing, and integrations.
Quick Verdict
Databricks offers fewer features (29 vs 74) and fewer integrations (0 vs 18). Starting price: Databricks at Contact Sales vs Supervisely at $199/mo. Databricks has 29 unique features while Supervisely has 74 unique features, with 0 features in common.
| Databricks | Supervisely | |
|---|---|---|
| Category | AI & Machine Learning | AI & Machine Learning |
| Total Features | 29 | 74 |
| AI-Powered Features | 12 | 19 |
| Starting Price | Contact Sales | $199/mo |
| Pricing Tiers | 2 | 3 |
| Integrations | 0 | 18 |
| Shared Features | 0 | |
| Shared Integrations | 0 | |
| Data Quality | 60% | 95% |
Feature Comparison by Category
AI (7 vs 5)
| Feature | Databricks | Supervisely |
|---|---|---|
| AI Agents | ||
| AI-Assisted Labeling | ||
| Automatic Cuboid Adjustment | ||
| Automatic Ground Segmentation | ||
| CLIP Embeddings | ||
| Context-aware Natural Language Search | ||
| Experiment Tracking | ||
| Generative AI Application Development | ||
| Model Creation and Tuning | ||
| Model Deployment at Scale | ||
| Natural Language Insights | ||
| Smart Tools |
AI / Automation (0 vs 1)
| Feature | Databricks | Supervisely |
|---|---|---|
| Auto Labeling with AI Models |
Analytics (0 vs 1)
| Feature | Databricks | Supervisely |
|---|---|---|
| Dataset Quality Heatmaps |
Annotation (0 vs 20)
| Feature | Databricks | Supervisely |
|---|---|---|
| 3D Cuboid Annotation | ||
| Alpha Matting | ||
| DICOM/Medical Imaging Labeling | ||
| High-Depth Color Range | ||
| High-Resolution Image Support | ||
| Image Labeling | ||
| Key-Value Tags | ||
| Keypoint Annotation | ||
| LiDAR/3D Point Cloud Labeling | ||
| Multi-Camera/Multi-Stream Support | ||
| Multi-spectral Image Support | ||
| Multi-view Annotation | ||
| Nested Ontologies | ||
| Object Detection | ||
| Object Tracking |
Collaboration (0 vs 4)
| Feature | Databricks | Supervisely |
|---|---|---|
| Issue Tracking | ||
| Labeling Exams | ||
| Labeling Jobs and Queues | ||
| User Collaboration |
Customization (0 vs 2)
| Feature | Databricks | Supervisely |
|---|---|---|
| AppEngine | ||
| Custom Labeling UI |
Data Integration (1 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| ETL - Batch and Real-time |
Data Management (0 vs 7)
| Feature | Databricks | Supervisely |
|---|---|---|
| Custom Augmentations | ||
| Data Management | ||
| Import and Export | ||
| Migration Tools | ||
| Pre-processing and Data Augmentation | ||
| Search and Visualize | ||
| Synthetic Data Generation |
Data Quality (1 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| Data Quality Control |
Data Sharing (1 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| Open Data Sharing |
Data Warehouse (1 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| Lakehouse Architecture |
Database (1 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| Lakebase |
Deployment (0 vs 2)
| Feature | Databricks | Supervisely |
|---|---|---|
| Cloud-Hosted Deployment | ||
| On-Premise Deployment |
Education (1 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| Training and Education |
Governance (2 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| AI Governance | ||
| Data Lineage |
Infrastructure (4 vs 4)
| Feature | Databricks | Supervisely |
|---|---|---|
| CDN Acceleration | ||
| Custom CDN | ||
| GPU Support | ||
| Hands-off Reliability and Optimization | ||
| Intelligent Compute Selection | ||
| On-the-fly Transcoding | ||
| Serverless Compute | ||
| Workload-specific Autoscaling |
Integration (1 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| Open Formats and APIs |
Integrations (0 vs 4)
| Feature | Databricks | Supervisely |
|---|---|---|
| Cloud Storage Integration | ||
| Developer Portal | ||
| Python SDK | ||
| REST API |
Marketplace (1 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| Databricks Marketplace |
Model Deployment (0 vs 4)
| Feature | Databricks | Supervisely |
|---|---|---|
| Batch Processing | ||
| Custom Inference Pipelines | ||
| Inference API | ||
| Model Deployment |
Model Training (0 vs 9)
| Feature | Databricks | Supervisely |
|---|---|---|
| Active Learning | ||
| Auto Training Pipelines | ||
| Checkpoint Export | ||
| Cloud Training | ||
| Custom Model Integration | ||
| Foundation Models | ||
| Model Evaluation and Comparison | ||
| Neural Network Training | ||
| Pretrained Models |
Monitoring (2 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| AI-powered Monitoring and Observability | ||
| End-to-end Pipeline Monitoring |
Orchestration (1 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| Pipeline Orchestration |
Performance (1 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| AI-Optimized Query Execution |
Quality Control (0 vs 2)
| Feature | Databricks | Supervisely |
|---|---|---|
| Consensus Labeling | ||
| Quality Assurance and Review |
Reliability (1 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| Automatic Error Remediation |
Security (2 vs 7)
| Feature | Databricks | Supervisely |
|---|---|---|
| Activity Logging | ||
| Custom SSL Certificates | ||
| Data Anonymization | ||
| Data Privacy | ||
| Medical HIPAA Compliance | ||
| Offline/Secure Environment | ||
| Role-Based Access Control | ||
| Single Permission Model | ||
| Single Sign-On (SSO) |
Services (0 vs 2)
| Feature | Databricks | Supervisely |
|---|---|---|
| Consulting Services | ||
| Labeling Services |
Workflow Automation (1 vs 0)
| Feature | Databricks | Supervisely |
|---|---|---|
| Simple Workflow Authoring |
Unique Features
Only in Databricks (29)
AI Agents
Context-aware Natural Language Search
Experiment Tracking
Generative AI Application Development
Model Creation and Tuning
Model Deployment at Scale
Natural Language Insights
ETL - Batch and Real-time
Data Quality Control
Open Data Sharing
Lakehouse Architecture
Lakebase
Training and Education
AI Governance
Data Lineage
Hands-off Reliability and Optimization
Intelligent Compute Selection
Serverless Compute
Workload-specific Autoscaling
Open Formats and APIs
+ 9 more unique features
Only in Supervisely (74)
AI-Assisted Labeling
Automatic Cuboid Adjustment
Automatic Ground Segmentation
CLIP Embeddings
Smart Tools
Auto Labeling with AI Models
Dataset Quality Heatmaps
3D Cuboid Annotation
Alpha Matting
DICOM/Medical Imaging Labeling
High-Depth Color Range
High-Resolution Image Support
Image Labeling
Key-Value Tags
Keypoint Annotation
LiDAR/3D Point Cloud Labeling
Multi-Camera/Multi-Stream Support
Multi-spectral Image Support
Multi-view Annotation
Nested Ontologies
+ 54 more unique features
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