Graviti provides a unified platform for both unstructured and structured data in a table-like data model, enabling data engineering teams to work more effectively to manage large volumes of data and find the right data they need. The standardized data store supports continuous accumulation and compute at scale. Get started with Graviti data platform for managing data on Azure.

With powerful data versioning and data lineage for traceability and workflow automation, the platform makes it easier for its users to ingest, manage, and query data faster and lowers the collaboration cost.

Data engineers and AI/ML teams use Graviti data platform to ingest, manage, and query data faster and lower the collaboration cost for their machine learning projects and business analytics needs.

Customer feel pain from:

• Using folders on filesystems to manage large amounts of unstructured data creates trouble for cross-domain and cross-type data analysis and finding best data for machine learning model training.

• It also generates query complexity and high infrastructure cost and collaboration cost.

Graviti solutions to tame data challenges:

• A single system for all types of data

Manage all your raw data, metadata and semantic data in a table-like data model to reduce query complexity and infrastructure cost.

• Data version control for data lineage and collaboration

Utilize a Git-like interface for data versioning to keep track of all data changes. Provide data curation tools at a better performance and lower cost.

• Full integration with Azure cloud

Bring your business workflows together and build scalable, reliable AI applications