The platform that unifies your data engineering toolset.

MOVE FASTER

Rich Data Catalog and Automated Profiling

• Seamlessly combine core descriptive information about objects and tables with pipeline process data, detailed activity logging, and data profiles
• Easily profile your data sets as you go, directly within the platform
• Discover data quality issues now, not later

The Languages You Know and Love

• Keep coding in the languages you love; Magpie supports SQL, Python, R, and Scala
• Write less code to get your work done faster
• Leverage the power of Apache Spark, without the complicated technical know-how

GO FURTHER

Collaborative Data Exploration

• Unify your team by working with consistent data from within the same platform 
• Magpie’s notebook UI lets data engineers, analysts, and data scientists create reproducible analyses and collaborate with each other
• Explore data, visualize results, build models, and share with your teammates

Stay Ahead of the Curve

• Focus on analysis, not data clean up or management, to help drive the right decisions within your company
• Seamlessly access the powerful distributed computing capabilities and open source ecosystem of Apache Spark

BE IN CONTROL

Compatible and Scalable

• Magpie scales with you; as your data grows, you can easily add capacity in the cloud; Magpie’s governance and collaboration tools let you grow your team without adding complexity to your environment.
• You can continue to leverage your existing data storage and databases. With Magpie, data at rest stays in your cloud account and on-premise data stores.
• Connect to a broad range of data sources and targets including relational databases, NoSQL stores, distributed file systems/object stores, and analytics databases.

Operate in the Cloud

• Fully managed, cloud-based environment allows for rapid deployment and on-demand scalability
• We’re built to scale, so you can focus on doing your job
• Deploy in AWS, Microsoft Azure, or Google Cloud.

Governance, Management, and Security

• Always know the state of your environment, and maintain total control over it
• History of usage data and historical data files give you full visibility 
• Fine-grained object level access control coupled with detailed activity tracking for enhanced security
• Build your DataOps workflows with Magpie, integrate with revision control in Git, easily deploy across environments, and integrate with external orchestration tools like Apache Airflow.