Quilt - Features, Pricing & What Users Say
Quilt is an enterprise AI platform designed to help subject matter experts organize, manage, and leverage datasets through intelligent data versioning and documentation.
What Makes Quilt Different
- Organizes data into versioned packages that include built-in metadata and documentation
- Focuses on enterprise-level data management for organizations with complex dataset needs
- Provides structured approaches to data organization that scale across teams
- Enables better data governance through systematic packaging and version control
- Designed specifically for subject matter experts who need reliable data infrastructure
Key Features
- Data versioning - Track changes and maintain multiple versions of datasets
- Metadata management - Attach detailed information and context to data packages
- Documentation tools - Build comprehensive documentation directly into data packages
- Enterprise-grade organization - Structure datasets for large team collaboration
- Package management - Create, store, and retrieve organized data bundles
- Data governance - Implement consistent standards across datasets
- Version control - Navigate between different data versions easily
Pricing
Contact Quilt for current pricing. Pricing tier information is not publicly available.
What Users Say
What users like:
- Effective at organizing datasets into clear, versioned packages
- Built-in metadata and documentation reduce manual work
- Scales well for enterprise teams managing multiple datasets
- Provides structure that helps teams stay aligned on data standards
Common complaints:
- Limited review data available for Quilt to identify common user concerns at this time
The Company
Quilt was founded in 2018 and is headquartered in Singapore, Singapore. The company has between 51-200 team members. A G2 rating is not currently available for this product.
Alternatives
- Alation - Enterprise data catalog platform that helps organizations govern and discover data assets
- Collibra - Data governance and catalog solution designed for large enterprises managing complex data environments
- Apache Atlas - Open-source data governance framework for managing metadata across data systems
- Atlan - Modern data catalog built for collaborative data teams and metadata management
Frequently Asked Questions
What is Quilt?
Quilt is an enterprise AI platform focused on helping subject matter experts manage datasets more effectively. The tool organizes data into versioned packages that include metadata and documentation, making it easier for teams to work with complex datasets. It's designed for organizations that need systematic data governance and structured approaches to data management across multiple teams.
How much does Quilt cost?
Pricing details for Quilt are not publicly listed on their website. Organizations interested in using Quilt should contact the company directly for a custom pricing quote based on their team size and data management needs.
Is Quilt worth it?
Based on available user feedback, Quilt appears to deliver value for organizations that need enterprise-level data organization and governance. Users report that the tool effectively handles dataset versioning and metadata management, which are important for teams managing large amounts of data. The platform seems most beneficial for companies with complex data infrastructure needs and subject matter experts who require reliable data packaging and documentation tools. However, limited public review data means potential users should request a demo or trial to evaluate fit for their specific use case.
What are the best Quilt alternatives?
- Alation - Comprehensive data catalog with strong governance features
- Collibra - Enterprise-focused data governance and metadata management
- Atlan - Collaborative data catalog built for modern data teams