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features
design
support

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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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Docker Yes 
FairCom DB No 
FairCom EDGE No 
WorkEasy Software Yes 
ZEST Security Yes 

Integrations

Docker No 
FairCom DB Yes 
FairCom EDGE Yes 
WorkEasy Software No 
ZEST Security No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

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 No 
Application Performance Tracking No 
Centralized Policy Management No 
Container Stack Scanning No 
Image Vulnerability Detection No 
Reporting No 
Testing No 
View Container Metadata No 

Static Code Analysis

Analytics / Reporting No 
Code Standardization / Validation No 
Multiple Programming Language Support No 
Provides Recommendations No 
Standard Security/Industry Libraries No 
Vulnerability Management No 

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

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