Compare - Dagster VS Databand

Here’s the difference between Dagster and Databand. The comparison is based on pricing, deployment, business model, and other important factors.

About Dagster

Dagster is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.You declare functions that you want to run and the data assets that those functions produce or update. Dagster then helps you run your functions at the right time and keep your assets up-to-date.

About Databand

Databand is a provider of cloud and AI based data observability solutions. It provides an AI platform for unified data pipeline monitoring. It allows data scientists, data engineers, and data analysts to build, manage and optimize their processes for model training, experimentation, testing, and deployment. It is saturated with DataOps in providing automation and integration solutions through a pipeline framework for machine learning and iterative data products.

Comparison Table

Overview
CategoriesWorkflow OrchestrationData Quality Monitoring
StageEarly StageEarly Stage
Target SegmentMid size, EnterpriseMid size, Enterprise
DeploymentOn PremSaaSSaaS
Business ModelOpen SourceCommercial
PricingFreemium, Contact SalesContact Sales
LocationUnited StatesNew York, US
Companies using it
Good Eggs logoMejuri logoDutchie logoAngellist Talent logoAritzia logoAirbyte logo
Contact info
linkedin icon
twitter icon
linkedin icon
twitter icon

Add to compare

Similar Companies
Argo
Workflow Orchestration
Astronomer logo
Astronomer
Workflow Orchestration
Kubeflow
Workflow Orchestration
Ascend logo
Ascend
Workflow Orchestration