Data Management provides a shared workspace for versioned datasets, external data connections, buckets and volumes. It tracks lineage from ingestion through training and deployment, and supports previews, validation and comparisons between dataset versions.
The product is for organizations managing data used by model workflows. Teams can import data from supported sources, validate versions before training and trace which pipeline runs, checkpoints and deployments used each dataset.

Data Management organizes versioned datasets, external connections, storage and data lineage.


DataChain Studio is a web application for data and machine-learning teams to manage datasets, jobs, experiments, and collaboration.



An enterprise data catalog with machine-learning search, lineage, and active metadata for data teams through business users.


An AI-powered enterprise data catalog with automated documentation, governance, lineage, and metadata management.




Unified governance and discovery layer for data, models, apps, agents, and related AI assets.



Enterprise data and AI platform for engineering, warehousing, governance, analytics, and AI workloads.


Tools for building, deploying, evaluating, and governing enterprise AI and machine learning systems.



Ready-to-license expert-authored datasets for AI post-training across professional, coding, search, and multimodal tasks.


Monte Carlo Data Observability monitors data freshness, volume, and schema to catch bad data downstream.


Centific's data annotation and labeling platform that transforms raw data into model-ready assets with traceability and quality controls.


A data intelligence platform whose catalog inventories enterprise data assets across technical, business, and operational metadata.


Cloud control plane for developing, testing, and orchestrating analytics transformations with dbt.



AI-powered data platform that unifies systems and data for private-equity-backed roll-up companies.


Expert-curated datasets and reinforcement learning environments for training and evaluating AI models.


Scale Data Engine collects, curates, and annotates data to train, evaluate, and improve machine-learning models.
DataChain Studio is a web application for data and machine-learning teams to manage datasets, jobs, experiments, and collaboration.

DataChain is an open-source Python library for teams building versioned datasets and processing unstructured data in cloud storage.

An enterprise data catalog with machine-learning search, lineage, and active metadata for data teams through business users.

An AI-powered enterprise data catalog with automated documentation, governance, lineage, and metadata management.

lakeFS Product versions data lakes with Git-like branches and commits.

DVC versions data and models with Git workflows for engineers.

Unified governance and discovery layer for data, models, apps, agents, and related AI assets.

Agentic catalog for governing and finding data and AI assets.

Enterprise data and AI platform for engineering, warehousing, governance, analytics, and AI workloads.

Tools for building, deploying, evaluating, and governing enterprise AI and machine learning systems.

Open, governed data and AI asset sharing capability.

Ready-to-license expert-authored datasets for AI post-training across professional, coding, search, and multimodal tasks.

Monte Carlo Data Observability monitors data freshness, volume, and schema to catch bad data downstream.

Centific's data annotation and labeling platform that transforms raw data into model-ready assets with traceability and quality controls.

A data intelligence platform whose catalog inventories enterprise data assets across technical, business, and operational metadata.

Cloud control plane for developing, testing, and orchestrating analytics transformations with dbt.

Snowflake platform for building AI applications and agents beside governed data.

AI-powered data platform that unifies systems and data for private-equity-backed roll-up companies.

Expert-curated datasets and reinforcement learning environments for training and evaluating AI models.

Scale Data Engine collects, curates, and annotates data to train, evaluate, and improve machine-learning models.
