Sold by: Dagen.ai
Deployed on AWS
Dagen.ai is an AI-native platform for building agentic data pipelines that understand their purpose, monitor themselves, and continuously improve. Design, debug, and operate pipelines faster with AI agents across modern data stacks like Snowflake, Databricks, Redshift, Apache Iceberg, and BigQuery.
Overview
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Dagen Explainer Video
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Dagen.ai is an AI-native platform for building and operating agentic data pipelines: pipelines that understand why they exist, monitor themselves, and continuously improve over time. It provides an AI workspace where a coordinated team of specialized agents designs, builds, debugs, and operates data pipelines across modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, and Apache Iceberg. Unlike traditional data tools that operate on isolated code, Dagen understands full system context including schemas, dependencies, and business logic and enables it to generate production-grade pipelines, detect issues, and resolve them automatically. At the core of Dagen is a multi-agent orchestration system powered by a tri-layer memory architecture (episodic, procedural, and semantic), allowing pipelines to retain institutional knowledge and improve with every run. With Dagen, data engineering teams reduce firefighting, improve reliability, and compress weeks of pipeline development into hours.
Highlights
- Build agentic data pipelines that understand intent, adapt to changes, and self-heal in production.
- AI workspace with specialized agents that design, debug, and operate pipelines end-to-end with a tri-layer memory system.
- Full system awareness of schemas, lineage, dependencies, and business logic across your data stack.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Debian 13
Deployed on AWS
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Pricing
Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
Dagen.ai is offered under a Bring Your Own License (BYOL) model. AWS Marketplace charges only for underlying infrastructure usage. Any subscription, licensing, or billing related to Dagen.ai is handled directly by Dagen.ai. Refunds for Dagen.ai services are managed by Dagen.ai and evaluated on a case-by-case basis. For support or refund requests, please contact support@dagen.ai .
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial release of Dagen.ai on AWS Marketplace. This version provides an AI-native workspace for building and operating agentic data pipelines. Users can design, debug, and manage pipelines using AI agents with full system awareness across modern data platforms. Includes support for Snowflake, Databricks, BigQuery, Redshift, and Apache Iceberg environments. Pre-configured environment enables quick setup and immediate access to the Dagen interface.
Additional details
Usage instructions
- Launch the EC2 instance using the recommended configuration.
- Once the instance is running, open a browser and navigate to: https://<EC2-PUBLIC-IP>
- The Dagen interface will load in your browser. No SSH access is required.
- Complete the initial setup and connect your data platform (e.g., Snowflake, Databricks, BigQuery).
- Start building and operating agentic data pipelines using AI agents. Notes:
- SSH (port 22) is enabled for administrative access but is not required for normal use.
Resources
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Support
Vendor support
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