How to drive trusted decisions without changing your current data infrastructure.
Learn more about DataOS® in our white paper.
DataOS empowers data teams to efficiently and collaboratively build, deploy, and manage Data Products. DataOS optimizes the developer experience by abstracting away low-level complexities enabling developers to focus on creating advanced and sophisticated Data Products.
The Data Product, as a foundational element of DataOS, is a container-like unit that combines data with metadata, code, and infrastructure, making it self-contained and independently usable.
It is an independently deployable unit that wraps transformation logic, input and output definitions, discovery and observability APIs, service level objectives (SLOs), security and governance, and infrastructure dependencies
It is reusable, composable, portable and cloud-agnostic. And can be used as a building block to build solutions on any data stack
Data Products empower business autonomy by tailoring insights to specific needs, democratizing data expertise, accelerating decision-making, and fostering experimentation and innovation
Comprehensive end-to-end lifecycle management for Data Products.
Rapid prototyping to preview your outcomes before moving data to materialize views
Ability to find, understand and re-use existing data products to build a larger solution
Platform resources and infrastructure provisioning needed to compose the Data Products
Federated governance available as a first-class feature
Deploy on public, private, hybrid cloud or host it on-prem
Data Mesh or Data Fabric compatible
Output ports and open APIs enable users to augment and leverage these data products programmatically
Comprehensive data product observability including usage, performance and resource utilization.
– Animesh Kumar
Co-founder & CTO