lakeFS Acquires DVC, Uniting Data Version Control Pioneers to Accelerate AI-Ready Data
Deliver higher quality data faster with lakeFS Enterprise
Manage your data as code using a scalable data version control system.
lakeFS Enterprise is the right way to manage your data
lakeFS Enterprise provides the only data version control system that can integrate across your entire data architecture, enabling teams to collaborate while maintaining data quality, security and governance
- Faster Time To Market
Add structure to the way you work with your data. Implement engineering best practices and move swiftly from concept to market, reducing time to delivery.
- Improved data quality
Gain confidence and trust in your data. Develop, test, and analyze data using version control and ensure data quality and integrity.
- Resilient and compliant
Minimize governance risks. lakeFS auditing, data lineage, and governance capabilities ensure you meet the highest security standards.
Enable enterprise-ready data products with lakeFS
Implement data engineering best practices and ensure data quality, security and governance across all your data products.
Enterprise-grade governance and security
lakeFS provides a robust system that adheres to the highest security standards, allowing you to work with:
- Role-Based Access Control (RBAC)
- Single-Sign On (SSO)
- SCIM Support
- STS Auth
- AWS IAM Roles Authentication
- Auditing
Seamless native integrations for all your data stacks
Reduce the time, effort and risk in deployment. lakeFS provides native integration with:
- All object stores (AWS S3, Azure Blob, GCP, MinIO, Ceph, Dell EMC)
- Technology partners (Databricks, AWS, Cloudera, Azure, NetApp)
- Orchestration & workflows (Airflow, Dagster, Prefect, Metaflow, LiveTables, dbt, Argo, Kubeflow and more…)
Reduce maintenance overhead so you can focus on innovation
lakeFS Enterprise provides SLA guarantees to keep your operations running smoothly:
- Cloud-native
- Elastic scaling
- Managed data retention policies
- Private-link support
- Transactional mirroring
Available on on-prem, public cloud, or private cloud
lakeFS Enterprise provides SLA guarantees to keep your data operations running smoothly whether your data is stored on-prem or in the cloud.
Easily collaborate with your team
and build reliable data products — at any scale
Enhance efficiency, security and data consistency throughout your development process.
Version control your data
no matter what format you use
Work with your data repositories directly on your
local machine, performing version-controlled data
operations and experiment with your datasets
seamlessly without the need for remote access.
Clone data repositories to your local environment,
enabling offline data manipulation and testing.
Ensure efficiency, productivity and controlled
experimentation – in a local environment.
Fast data loading for deep
learning workloads with
lakeFS Mount
Virtually mount your lakeFS repositories, giving
you a local filesystem access to data stored
remotely. Minimize latency and ensure high
performance, even with the frequent file
accesses typical in deep learning applications.
Manage disaster recovery
and data locality with
Transactional Mirroring
Replicate repositories into consistent, read-only
copies in remote locations and track the state of
each commit, ensuring seamless disaster recovery,
optimal data locality and uninterrupted access to
your data across multiple regions.
Advanced unstructured
data filtering
Use advanced querying mechanisms to
manage and query unstructured data effectively,
while maintaining a clean and organized data
environment. lakeFS enhanced object tagging
enables you to manage and query unstructured
data with greater precision and productivity.
lakeFS enabled us to efficiently reproduce ML experiments, increase productivity of the data teams, and adhere to FDA compliance requirements 
With lakeFS, we have streamlined data science and MLOps workflows, adapted data access controls for different data teams, accelerated productivity and reduced time-to-insights for ML engineering projects 
Additional Resources
Read the latest on data version control, explore tutorials and pick up best practices
