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Description
Clair is an open-source initiative designed for the static analysis of security vulnerabilities within application containers, such as those used in OCI and Docker environments. Users interact with the Clair API to catalog their container images, allowing them to identify any potential vulnerabilities by comparing them to established databases. The primary aim of this project is to foster a clearer understanding of the security landscape surrounding container-based infrastructures. Reflecting this mission, the name Clair is derived from the French word that means clear, bright, or transparent. Within Clair, manifests serve as the framework for representing container images, and the project utilizes the content-addressable nature of OCI Manifests and Layers to minimize redundant processing efforts, thereby enhancing efficiency in vulnerability detection. By streamlining this analysis, Clair contributes significantly to the overall security of containerized applications.
Description
Efficiently ingest, prepare, and manage data pipelines at scale specifically designed for cloud-based AI and analytics. The extensive data engineering suite from Informatica equips users with all the essential tools required to handle large-scale data engineering tasks that drive AI and analytical insights, including advanced data integration, quality assurance, streaming capabilities, data masking, and preparation functionalities. With the help of CLAIRE®-driven automation, users can quickly develop intelligent data pipelines, which feature automatic change data capture (CDC), allowing for the ingestion of thousands of databases and millions of files alongside streaming events. This approach significantly enhances the speed of achieving return on investment by enabling self-service access to reliable, high-quality data. Gain genuine, real-world perspectives on Informatica's data engineering solutions from trusted peers within the industry. Additionally, explore reference architectures designed for sustainable data engineering practices. By leveraging AI-driven data engineering in the cloud, organizations can ensure their analysts and data scientists have access to the dependable, high-quality data essential for transforming their business operations effectively. Ultimately, this comprehensive approach not only streamlines data management but also empowers teams to make data-driven decisions with confidence.
API Access
Has API
API Access
Has API
Integrations
Docker
FairCom DB
FairCom EDGE
WorkEasy Software
ZEST Security
Integrations
Docker
FairCom DB
FairCom EDGE
WorkEasy Software
ZEST Security
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Clair
Website
github.com/quay/clair
Vendor Details
Company Name
Informatica
Founded
1993
Country
United States
Website
www.informatica.com/products/big-data.html
Product Features
Container Security
Access Roles / Permissions
Application Performance Tracking
Centralized Policy Management
Container Stack Scanning
Image Vulnerability Detection
Reporting
Testing
View Container Metadata
Static Code Analysis
Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates