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Description
Uncover security weaknesses within a codebase using CodeQL, our premier semantic analysis tool for code. CodeQL empowers you to treat code as if it were data, enabling the writing of queries to identify every variant of a vulnerability, thereby eliminating it for good. By sharing your findings, you can assist others in this vital task. CodeQL is available at no cost for both research and open source projects. Execute real queries against widely-used open source codebases with CodeQL integrated into Visual Studio Code, experiencing firsthand the effectiveness of identifying poor coding practices and pinpointing similar issues throughout the entire codebase. You also have the option to create your own CodeQL databases for any project that complies with an OSI-approved open source license. It’s important to note that GitHub CodeQL is restricted to use on codebases that are either released under an OSI-approved open source license, utilized for academic research, or employed to generate CodeQL databases for automated analyses. To get started, simply download and incorporate the project's CodeQL database into VS Code, or generate a CodeQL database using the CodeQL command-line interface, allowing you to enhance your code's security comprehensively. Utilizing CodeQL not only improves your project but contributes to a safer coding environment for everyone.
Description
Detect and address code and optimization challenges in real-time, mitigate data incidents before deployment, and oversee data-affecting code modifications comprehensively—from the operational database to the user interface dashboard. With automated, column-level data lineage tracing the journey from the operational database to the reporting layer, every dependency is meticulously examined. Foundational automates the enforcement of data contracts by scrutinizing each repository in both upstream and downstream directions, directly from the source code. Leverage Foundational to proactively uncover code and data-related issues, prevent potential problems, and establish necessary controls and guardrails. Moreover, implementing Foundational can be achieved in mere minutes without necessitating any alterations to the existing codebase, making it an efficient solution for organizations. This streamlined setup promotes quicker response times to data governance challenges.
API Access
Has API
API Access
Has API
Integrations
GitHub
Apache Airflow
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
Census
Databricks Data Intelligence Platform
Fivetran
GitLab
Integrations
GitHub
Apache Airflow
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
Census
Databricks Data Intelligence Platform
Fivetran
GitLab
Pricing Details
Free
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
GitHub
Founded
2008
Country
United States
Website
codeql.github.com
Vendor Details
Company Name
Foundational
Country
United States
Website
www.foundational.io
Product Features
Static Code Analysis
Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Lineage
Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Static Code Analysis
Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management