Quilt Data Platform is a comprehensive data management platform that helps organizations centralize and manage data from a variety of sources, including structured, semi-structured, and unstructured data.
Quilt ensures a shared source of truth for all members of a life sciences organization, whether those are bench scientists, computational biologists, or business stakeholders.
Quilt Data Platform helps cross-functional teams to make critical decisions with their data using intuitive data visualization, embedded documentation data, data verification and lineage available through an elegant web platform, easy python SDK and powerful API.
Search
Powerful Metadata and Visualizations
- Search for data using powerful scalable searching mechanisms.
- Search based on Package Metadata or on the contents of documents. Quilt indexes everything to make finding the right data easy.
- Explore Buckets and Packages visually, with relevant metadata and documentation highlighted and searchable.
Context
Powerful search and exploration to lead you to the right data across your organization
- Data without context is useless. Quilt lets you easily add metadata to collections of data.
- Quilt has in-platform documentation, and embedded visualization engines to let users provide context to the collections of data.
Search
Powerful Metadata and Visualizations
- Search for data using powerful scalable searching mechanisms.
- Search based on Package Metadata or on the contents of documents. Quilt indexes everything to make finding the right data easy.
- Explore Buckets and Packages visually, with relevant metadata and documentation highlighted and searchable.
Context
Powerful search and exploration to lead you to the right data across your organization
- Data without context is useless. Quilt lets you easily add metadata to collections of data.
- Quilt has in-platform documentation, and embedded visualization engines to let users provide context to the collections of data.
Easy Data Ingestion
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Share
Confidently Distribute Data with Strong Versioning and Linking
- Package revisions are hashed, giving you confidence that you know what's in each version, and that the contents haven't changed.
- Share versioned collections of data across your organization.
- Timetravel across each change to a data package to see how changes have been made at each step of a workflow.
- One powerful link brings collaborators to an immutably versioned package of data.
Collaborate
Wet/Dry Scientist Friendly
- Computational scientists can utilize a powerful Python SDK, or CLI to interact with Data Packages, empowering Jupyter Notebooks and leveling up Data Pipelines
- Non-Computational scientists can interact with packages in a beautifully intuitive web-based platform
Governance and Compliance
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Connected Lab
Move data from Instrument to Scientist Fast
Accelerate scientific iteration by delivering instrumentation data to your scientists quickly. Quilt and pairs with native AWS services to package, move and contextualize instrumentation data quickly, so that your scientists can get notified when data is ready, and start building with it quickly.
Resilience Case Study
Connected Lab Webinar AWS Blog PostSearch
Powerful Metadata and Visualizations
- Search for data using powerful scalable searching mechanisms.
- Search based on Package Metadata or on the contents of documents. Quilt indexes everything to make finding the right data easy.
- Explore Buckets and Packages visually, with relevant metadata and documentation highlighted and searchable.
Context
Powerful search and exploration to lead you to the right data across your organization
- Data without context is useless. Quilt lets you easily add metadata to collections of data.
- Quilt has in-platform documentation, and embedded visualization engines to let users provide context to the collections of data.
MULTIOMICS DATA
Connect Nextflow and Amazon HealthOmics
Teams who are developing NGS or other -omic pipelines want to track and verify the inputs and outputs to data pipelines to enhance reproducibility. Quilt integrates with the leading orchestration and pipeline tools to help teams accelerate iteration while being able to trust their data.
Tessera Case Study Nextflow NF-Quilt Plugin Nextflow Integration DemoELECTRONIC LAB NOTEBOOK INTEGRATION
Connect Benchling To Cloud Stores Easily
Wet scientists tend to use ELNs to track and store their research, but these systems tend to be limited in the amount of data stored, and are not transparents to the other parts of an organization. Connect ELN notebooks to a shared source of truth with Quilt, and allow wet and dry scientists coalesce their data in a scalable, verifiable way. We'll make sure that associated Metadata is synchronized between the systems.
Benchling Integration Demonstration Get Started With the Benchling IntegrationShare
Confidently Distribute Data with Strong Versioning and Linking
- Package revisions are hashed, giving you confidence that you know what's in each version, and that the contents haven't changed.
- Share versioned collections of data across your organization.
- Time-travel across each change to a data package to see how changes have been made at each step of a workflow.
- One powerful link brings collaborators to an immutably versioned package of data.
Collaborate
Wet/Dry Scientist Friendly
- Computational scientists can utilize a powerful Python SDK, or CLI to interact with Data Packages, empowering Jupyter Notebooks and leveling up Data Pipelines
- Non-Computational scientists can interact with packages in a beautifully intuitive web-based platform
Governance and Compliance
GxP Compatible, IAM Driven
Quilt makes it easy to provide governance to scientific data in AWS. We make Identity and Access management push and click, and SSO driven.
- Connect to Quilt with Okta, Azure AD, Google and OneLogin.
- Quilt runs in your VPC, so it will take on your compliance stature.
- Quilt's GxP Module provides automated IQ, OQ, PQ and logging to provide easy validation for GxP environments.
- Quilt is GovCloud Compatible