Activate Your Data’s Potential with Data Products
DataOS: Where Data Products Come to Life
DataOS: The Next-Gen Data Product Platform
With its semantic-first approach to data products, DataOS builds the foundational layer to your BI and AI.
Ready to harness data with unparalleled speed and precision?
Data Product Lifecycle Management
Define
Define a Data Product as per business objectives and SLOs and create testable prototypes using mock data.
Build
DSL, Python, Kotlin and YAML to build necessary pipelines, quality rules, monitors, alerts and test them with ease.
Deploy
Publish verified Data Products and apply governance policies to ensure safety.
Manage
Check the usage, health and relevance of your Data Products and share securely with partners.
Developer Experience
Self-serve infrastructure with all the necessary stacks required to build, test, monitor and maintain Data Products.
Abstracts away low-level complexity allowing developers to concentrate on the higher-level aspects of data product creation.
Introduces standardized resources and design patterns, creating a shared language that enhances collaboration and code reusability.
Flexibility and Extensibility
Cloud-agnostic and works with any existing architecture or data infrastructure.
Can be tailored to meet the specific needs of an organization, allowing for the integration of custom tools and processes.
DataOps principles to bring agility to your development.
