Dagster vs IBM DataStage
Side-by-side comparison of features, pricing, and integrations.
Quick Verdict
Dagster offers more features (41 vs 20) and more integrations (10 vs 6). Starting price: Dagster at $10/mo vs IBM DataStage at $1.75/mo. Dagster has 40 unique features while IBM DataStage has 19 unique features, with 1 features in common.
| Dagster | IBM DataStage | |
|---|---|---|
| Category | Data Integration | Data Integration |
| Total Features | 41 | 20 |
| AI-Powered Features | 4 | 1 |
| Starting Price | $10/mo | $1.75/mo |
| Pricing Tiers | 4 | 4 |
| Integrations | 10 | 6 |
| Shared Features | 1 | |
| Shared Integrations | 0 | |
| Data Quality | 85% | 70% |
Feature Comparison by Category
AI (0 vs 1)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| AI Pipeline Assistant |
AI/ML (3 vs 0)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| AI & ML Workflows | ||
| Ask-AI | ||
| Compass - AI Data Analyst |
Automation (1 vs 0)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Event-based Automations |
Compliance (1 vs 0)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| SOC 2 Type II & HIPAA Compliance |
Cost Management (1 vs 0)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Cost Tracking for BigQuery and Snowflake |
Data Access (0 vs 1)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Virtualization Sources |
Data Governance (6 vs 0)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Asset Metadata in UI | ||
| Asset-level Lineage | ||
| Catalog Focus-mode | ||
| Catalog Search | ||
| Column-level Lineage | ||
| Data Catalog & Lineage |
Data Integration (1 vs 0)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| ETL & ELT Pipelines |
Data Processing (3 vs 5)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Backfills | ||
| Batch Processing | ||
| Data Replication | ||
| Data Transformation | ||
| ETL/ELT Flexibility | ||
| Partitions | ||
| Real-Time Streaming |
Data Quality (2 vs 3)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Asset Freshness Checks | ||
| Asset Quality Checks | ||
| Data Cleansing and Enrichment | ||
| Data Quality Monitoring and Validation | ||
| IBM Address Verification Interface (AVI) |
Deployment (4 vs 0)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Branch Deployments | ||
| Flexible Deployment Options | ||
| Multi-tenant Instances | ||
| Serverless Deployments |
Developer Tools (0 vs 1)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Python SDK |
Development (1 vs 0)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Local Dev Workflow |
Governance (0 vs 2)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Metadata Management | ||
| Observability and Lineage |
Infrastructure (0 vs 4)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Automatic Load Balancing and Elastic Scaling | ||
| In-Place Upgrades and IBM Cloud Pak Services | ||
| Multicloud and Hybrid Cloud Support | ||
| Remote Engine |
Integration (1 vs 0)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Integration with dbt Tests |
Monitoring (7 vs 0)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Alerts | ||
| Custom Metrics | ||
| Integrated Observability | ||
| Metrics-based Alerts | ||
| Monitoring & Alerting | ||
| Platform and Pipeline Metrics | ||
| Realtime Health Metrics |
Orchestration (2 vs 0)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Asset-based Orchestration | ||
| Workflow-based Orchestration |
Performance (0 vs 2)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| ELT Pushdown Compiler | ||
| Parallel Processing |
Security (5 vs 0)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Audit Logs | ||
| Role-based Access Control | ||
| SAML Integration | ||
| SAML Sync | ||
| SSO & SCIM |
Support (3 vs 0)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| Dedicated Slack or Microsoft Teams Channel | ||
| Personalized Onboarding Support | ||
| Premium Support |
User Experience (0 vs 1)
| Feature | Dagster | IBM DataStage |
|---|---|---|
| No-Code/Low-Code/Pro-Code Options |
Unique Features
Only in Dagster (40)
AI & ML Workflows
Ask-AI
Compass - AI Data Analyst
Event-based Automations
SOC 2 Type II & HIPAA Compliance
Cost Tracking for BigQuery and Snowflake
Asset Metadata in UI
Asset-level Lineage
Catalog Focus-mode
Catalog Search
Column-level Lineage
Data Catalog & Lineage
ETL & ELT Pipelines
Backfills
Partitions
Asset Freshness Checks
Asset Quality Checks
Branch Deployments
Flexible Deployment Options
Multi-tenant Instances
+ 20 more unique features
Only in IBM DataStage (19)
AI Pipeline Assistant
Virtualization Sources
Batch Processing
Data Replication
ETL/ELT Flexibility
Real-Time Streaming
Data Cleansing and Enrichment
Data Quality Monitoring and Validation
IBM Address Verification Interface (AVI)
Python SDK
Metadata Management
Observability and Lineage
Automatic Load Balancing and Elastic Scaling
In-Place Upgrades and IBM Cloud Pak Services
Multicloud and Hybrid Cloud Support
Remote Engine
ELT Pushdown Compiler
Parallel Processing
No-Code/Low-Code/Pro-Code Options
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