Sold by: Dagster LabsÂ
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
Sold by
Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
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)Â .
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.comÂ
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
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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AI generated from product descriptions
Data Pipeline Orchestration
Declarative framework for defining and managing data asset production functions
Asset Management
Supports tracking and updating various data assets including tables, datasets, machine learning models, and reports
Development Lifecycle Support
Comprehensive platform covering local development, unit testing, integration testing, staging, and production environments
Function Scheduling
Intelligent scheduling mechanism to execute data processing functions at optimal times
Modular Architecture
Flexible design allowing developers to declare and manage complex data workflows with granular control
Data Transformation Architecture
Builds directed acyclic graphs (DAG) with nodes that run on scheduled transformations and produce tested datasets
Metadata Management
Utilizes column and table-level metadata for designing and deploying data warehouses with standardization and granular data modeling
Enterprise Scalability
Architected to handle large-scale data environments with thousands of tables and complex transformation requirements
Change Management Workflow
Tracks past, current, and desired deployment states of data warehouse with comprehensive visibility and control mechanisms
Data Modeling Capabilities
Enables column-level understanding and supports data patterns through template-based transformation design
Workflow Orchestration
Distributed scheduling system supporting multiple job types across databases, cloud, big data, AI, and MLOps platforms
Job Scheduling Engine
Advanced scheduling engine with support for complex scheduling scenarios and multiple execution environments
IDE Interface
Low-code editing interface with visual workflow design and configuration capabilities
Scheduling Lineage Analysis
Comprehensive tracking and analysis of workflow dependencies and execution paths
Permission Management
Enterprise-level access control and permission configuration for workflow and scheduling resources
Standard contract
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