Dagster vs DataKitchen TestGen
Dagster
dagster.io
DataKitchen TestGen
datakitchen.ioSide by side
| Figure | Dagster | DataKitchen TestGen |
|---|---|---|
| Price from | $10/mo | $100/mo |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 6 | 2 |
| Spec score · DataOps Platforms | 8.3 (#8) | 9.2 (#1) |
| Data catalog | Its integrated catalog centralizes data discovery, lineage, workflows, and operational metadata. | The catalog combines metadata, hygiene findings, PII risks, test results and Critical Data Element tags. |
| Headquarters | San Francisco, California, United States | Lexington, Massachusetts, United States |
| Support | The plan comparison lists community and Support Center and Ask AI support, while Pro includes personalized onboarding support and a private Slack channel. | The open-source plan includes community support, and Enterprise includes direct DataKitchen support and priority access to releases. |
| What it does | Dagster describes itself as a data-aware orchestrator for building, running, and monitoring data pipelines and assets. | TestGen profiles databases, generates data-quality tests, executes them, monitors tables and produces quality scores. |
Plans
Dagster
- Solo$10 a month
- Starter$100 a month
- ProPriced on request
- Solo Plan$10 a month
- Starter Plan$100 a month
- Pro PlanPriced on request
In their own words
Dagster
Dagster is a data-aware orchestrator for building, running and monitoring data pipelines and assets. It models assets and dependencies to show lineage across a data platform, while supporting partitions, incremental runs, declarative workflows and fault-tolerant orchestration. An integrated catalog combines data discovery, lineage, workflows and operational metadata. Quality features include code-embedded validation, automated testing, freshness checks and observability tools. The integration directory lists Airbyte, Anthropic, Apache Airflow, AWS services and Azure Data Lake Storage. Dagster+ hybrid deployment keeps compute in a customer’s infrastructure while Dagster manages the control plane. The core framework is open source on GitHub. Platforms listed are API, Linux, self-hosted and web; deployment is hybrid. A 30-day trial is listed. Solo costs $10 a month plus usage charges, and Starter costs $100 a month plus usage charges. Dagster’s website says it is now part of Prefect.
DataKitchen TestGen
DataKitchen TestGen profiles databases, generates data quality tests, and shows results and quality scores in dashboards. Its listed checks include 55 profiling characteristics, 32 hygiene detector tests, and 49 test types, including generated tests, business rules, and custom SQL. Monitors cover freshness, volume, schema, and custom metrics, using predictive models to flag changes such as late arrivals and schema drift. Supported databases include Snowflake, Databricks SQL, Azure Synapse Analytics, Azure SQL Database, SQL Server, OneLake, BigQuery, Redshift, Aurora PostgreSQL, Oracle 12c and later, SAP HANA, PostgreSQL, and Salesforce Data 360. It can also profile and test structured data in Iceberg, Parquet, Avro, ORC, CSV, and JSON through supported external-table options. TestGen runs in the customer’s infrastructure; DataKitchen says it does not host the application or receive customer data. It queries target databases with read-only access and stores results and metadata in its application database. The free Open Source plan is limited to one user, one connection, and one project. Enterprise costs $100 a month, billed per user and per database connection.