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Quilt DataQuilt manages data like code so that companies can experiment faster

We realized that S3 is kind of like "git for data" and have created services that make S3 function as a data hub for teams. Quilt consists of a Python Client, a web catalog for browsing and visualizing S3, and a CloudFormation backend for compute and identity management.

2015-11-17
Active
Early
W16
6
B2B
United States of AmericaAmerica / CanadaRemoteFully Remote
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More About Quilt Data

Quilt Data - Build Data Assets

Transform Your Data into Reusable Assets

Key Features

  • Visual Data Packages: Create, manage, and share data packages with ease.
  • Version Control: Keep track of data changes and maintain data integrity.
  • Seamless Collaboration: Connect people, pipelines, and machines for efficient data workflows.
  • AWS Integration: Leverage Amazon S3 for secure, scalable, and cost-effective data storage.
  • Enterprise Platform: Advanced features tailored for enterprise needs.

Use Cases

  • Data Lakes: Build and manage data lakes to store and analyze large volumes of data.
  • Data Pipelines: Streamline data pipelines for better data flow and processing.
  • Collaboration: Enhance team collaboration with shared data assets.
  • Data Governance: Maintain data integrity and compliance with version control and audit trails.
  • Machine Learning: Prepare and manage datasets for machine learning projects.

Pricing

Quilt Data offers flexible pricing plans to suit different needs:

  • Free Tier: Basic features for small teams and individual users.
  • Pro Tier: Advanced features for growing teams and businesses.
  • Enterprise Tier: Custom solutions and dedicated support for large organizations.

Teams

Quilt Data is designed to support teams of all sizes:

  • Small Teams: Easy-to-use tools for efficient data management and collaboration.
  • Growing Teams: Scalable solutions to accommodate increasing data and team members.
  • Enterprise Teams: Comprehensive platform with advanced features and dedicated support for large-scale data operations.