Sold by: Dagster Labs
Deployed on AWS
We empower every organization to build a productive and scalable data platform.
Overview
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.
Dagster is designed to be used at every stage of the data development lifecycle, including local development, unit tests, integration tests, staging environments, and production.
Highlights
- Data orchestration platform built for productivity.
- Ship data pipelines with extraordinary velocity.
Details
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Delivery method
Deployed on AWS
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Features and programs
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months | Overage cost |
|---|---|---|---|
Dagster Platform | Platform Fee | $100,000.00 | - |
User Seats | One Launcher, Editor, or Admin Seat. Unlimited Viewer Seats | $1,200.00 | |
1 Million Credits | Credits are consumed by running steps or materializing assets | $20,000.00 | - |
Dimension | Description | Cost/unit |
|---|---|---|
additional | Additional Usage | $1.00 |
Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Technical support will be provided through a shared Slack channel and email (support@dagsterlabs.com ). Support will be available during normal business hours (9 am - 5 pm PT), excluding US holidays.
https://dagster.io/contact or support@dagsterlabs.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Dagster Labs
By Coalesce
Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Data Asset Management
Orchestration of data assets including tables, datasets, machine learning models, and reports through declarative function definitions
Automated Scheduling and Execution
Automatic execution of functions at appropriate times with capability to keep data assets current and up-to-date
Multi-Environment Support
Support across complete data development lifecycle including local development, unit tests, integration tests, staging environments, and production
Data Pipeline Orchestration
Platform designed for developing and maintaining data pipelines with focus on productivity and scalability
Dependency Management
Tracking and management of dependencies between functions and data assets to ensure correct execution order
Directed Acyclic Graph Architecture
Builds directed acyclic graphs (DAG) composed of nodes that execute on schedules to produce tested and current datasets.
Metadata-Driven Data Modeling
Utilizes metadata at column and table levels to enable standardization, data patterns (templates), and granular column-level data modeling.
Change Management and Deployment Tracking
Tracks past, current, and desired deployment states of data warehouse over time to provide visibility and control of change management workflows with plan review capabilities before deployment.
Enterprise-Scale Data Transformation
Architected to handle enterprise environments with thousands of tables and manage data transformation operations at scale.
Snowflake Integration
Designed as a native data transformation solution for Snowflake data warehouse platform.
Workflow Orchestration Engine
Distributed scheduling engine supporting complex task orchestration and ETL pipeline execution across multiple job types and data sources
Task Type Support
Supports 30+ task types including SQL, Shell, Python, and Java for diverse workflow requirements
Data Source Connectivity
Integrates with 290+ data sources including databases, SaaS platforms, data lakes, and cloud services
Visual Workflow Design
Drag-and-drop interface for building and designing complex workflows without requiring extensive coding
Monitoring and Observability
Enhanced monitoring, alerting, and manual intervention capabilities with scheduling lineage analysis and operation and maintenance monitoring
Standard contract
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