Data Products | DataOps

It's high time enterprises rethink how they derive value from data

The AI era has accelerated demand for data democratization, but one-off datasets and tribal knowledge are not enough to deliver consistent, reusable outputs the business can trust. When you start treating data as a product, you can accelerate and scale delivery of the high-quality data your business needs for decision-making and AI development.

The DataOps.live automation platform operationalizes a DataOps approach, enabling your team to build standardized, governed, and AI-ready data products. With automated packaging, embedded quality and policy gates, and AI assistance from Metis - generating code, tests, metadata, and documentation - teams deliver high-quality data products quickly and with complete confidence.

Teams still treat data as isolated projects

Without a standardized framework for packaging and maintaining reusable data assets, organizations end up with inconsistencies and duplication across silos.

No DevOps-style lifecycle for managing data

Without versioning, testing, CI/CD, and promotion paths, every change is manual, risky, and difficult to reproduce.

Inadequate documentation and metadata limit adoption

Business users don't trust or understand datasets that depend on tribal knowledge and lack consistent documentation.

Data delivery without quality and governance checks

Uneven policy enforcement leads to inconsistent quality, and compliance issues surface only after release.

The data team wastes time duplicating efforts

Without a centralized, governed directory of reusable assets, teams rebuild what already exists - slowing AI and analytics initiatives.

AI-assisted product creation with Metis

Generate pipeline code, tests, metadata, and documentation using Metis - the data engineering AI agent that accelerates every step of the product lifecycle.

Standardized, reusable product packaging

Package and deliver data products in consistent, governed formats to support reuse across domains, workloads, and teams.

Embedded quality, policy, and regulatory gates

Enforce data quality, organizational policies, and regulatory requirements automatically throughout the data product lifecycle to avoid surprises in production.

Automated CI/CD for data products

Build, test, and deploy data products using repeatable, versioned, and fully governed workflows for consistent and auditable results.

Data Product Delivery for visibility and reuse

Provide a curated, governed catalog of reusable data products to maximize discovery and reduce duplication.

“

DataOps.live continues to be a true partner, supporting OneWeb's continuous rollout of data products across the organization for the benefit of our customers.

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Miguel Morgado

SPO of Digital Products @ OneWeb

“

DataOps.live is about collaborative development. It’s about the ability to coordinate and automate testing and deployment, and therefore shorten the time to value.

”

Mike Ferguson

CEO and Head of Research @ Intelligent Business Strategies

“

A lot of the functionality in DataOps.live, such as command line features to reverse engineer certain tables into their soul language, just really speeds up development.

”

Ronny Steelman

CEO @ Quadrabyte

Deliver data products with speed and control

Want to see DataOps.live in action? Join our data engineering team for a hands-on lab and automate your first CI/CD pipeline for Snowflake in under an hour.

Join a hands-on lab