ToolAI Tools & APIsv1.7

Dagster

by Dagster Labs · freemium · Last verified 2026-03-17

Dagster is an asset-centric data orchestrator for building, testing, and monitoring data pipelines. It models data dependencies and computations as a graph of software-defined assets, providing built-in data lineage, type checking, and observability. This approach helps data teams create reliable and maintainable data platforms.

https://dagster.io ↗

B—Above Average

Adoption: BQuality: A+Freshness: ACitations: BEngagement: F

Specifications

License: Apache 2.0
Pricing: freemium
Capabilities: Software-Defined Assets, Data Lineage and Observability, Declarative Programming Model, Integrated Testing Framework, Partitioning and Backfills, Local Development and Debugging, Asset Checks for Data Quality, Embedded ELT and Transformation, Extensible I/O Management
Integrations: dbt, Snowflake, Databricks, Apache Spark, Pandas, Fivetran, Airbyte, Kubernetes, AWS (S3, Redshift), GCP (BigQuery, GCS), Azure (ADLS)
Use Cases: [object Object], [object Object], [object Object], [object Object], [object Object]
API Available: Yes
SDK Languages: python
Deployment: cloud, self-hosted, kubernetes, docker
Rate Limits: Dagster+ free tier: 1 user; Team: per-seat pricing
Data Privacy: SOC 2 Type II; self-hosted available
Tags: data-orchestration, software-defined-assets, data-pipelines, mlops, etl, data-engineering, python, data-lineage, data-observability, workflow-automation, dbt
Added: 2026-03-17
Completeness: 0.9%

Index Score

60.7

Adoption

Quality

Freshness

Citations

Engagement

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