ONE AI WORKSPACE
for_data_engineers
Dagen provides a complete suite of intelligent tools to automate, optimize, and transform your entire data infrastructure.
Meet your new
Your data stack doesn't need more tools. It needs intelligence. Dagen's agents work together like a senior engineering team, handling everything from ingestion to insights.
Conversation Agent
The team lead that understands your context and coordinates the team.
Data Model Agent
Intelligent schema design and data modeling with AI recommendations.
Ingestion Agent
Builds ingestion pipelines for databases, APIs, files, or streams.
Data Insights Agent
AI-powered analytics that discover patterns and generate insights.
Agent Builder
Create custom AI agents tailored to your specific data workflows.
I want to move sales data from PostgreSQL to BigQuery
Pipeline deployed successfully.
Create an e-commerce schema with proper normalization
Complete e-commerce schema generated.
Move customer data from PostgreSQL to BigQuery daily
Automated daily pipeline configured.
Find anomalies in our customer behavior data
Identified 3 critical anomalies.
Build an agent for automated data quality monitoring
Custom quality monitoring agent active.
One AI Workspace
for everything data engineers need
Dagen provides a complete suite of intelligent tools to automate, optimize, and transform your entire data infrastructure.
Connect effortlessly to the most popular database engines including PostgreSQL, Snowflake, BigQuery, Redshift, MySQL, Oracle, and many more.
- Broad compatibility with SQL, NoSQL, and cloud data warehouses.
- Secure credential management using modern security practices.
- High-performance connectors optimized for speed and reliability.
- Intuitive connection wizard for quick and easy setup.
Leverage AI to automatically discover relationships, infer schemas, and build rich contextual understanding across disparate data sources.
- AI-driven analysis identifies hidden connections and semantic types.
- Visual relationship mapping simplifies complex data landscapes.
- Context builder enriches models with business definitions and metrics.
- Supports schema evolution tracking and impact analysis.
Integrate natively with leading data integration and transformation tools like dbt, Airflow, DataStage, and others to fit perfectly within your existing stack.
- Native connectors ensure seamless data flow and orchestration.
- Bi-directional metadata exchange for enhanced visibility.
- Monitor and manage integrated processes from the Dagen platform.
- Support for common patterns like ELT, ETL, and Reverse ETL.
Automatically extract, visualize, and understand complex data pipelines from various sources, providing clear lineage and dependency mapping.
- Advanced code parsing for SQL, Python, ETL tool configurations.
- Visualize intricate dependencies and data flow across systems.
- Identify performance bottlenecks and optimization opportunities.
- Auto-generate documentation and impact analysis reports.
Construct custom AI agents equipped with specialized tools. Integrate seamlessly with MCP Server protocols for advanced data operations and automation.
- Low-code interface for designing sophisticated AI agent workflows.
- Bring your own tools (Python scripts, APIs) for specialized tasks.
- Secure and scalable integration via Model Context Protocol (MCP) Server.
- Orchestrate complex data tasks like validation, enrichment, and generation.
Ready to transform your data stack?
Start free today or talk to our team about a plan that fits your workload.