Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Streamline your organization’s security processes by gathering, modifying, and unifying security data to leverage Palo Alto Networks solutions effectively. By simplifying security operations through the integration of enterprise data, you can enable advanced AI and machine learning capabilities that thrive on extensive data available at cloud scale. Enhance detection precision with access to trillions of artifacts from multiple sources, ensuring comprehensive protection. Cortex XDR™ stands out as the sole platform in the industry that combines prevention, detection, and response capabilities using fully integrated data from endpoints, networks, and the cloud. Prisma™ Access ensures consistent protection for your applications, remote networks, and mobile users, regardless of their location. A cloud-based architecture seamlessly connects all users to applications, accommodating those at headquarters, branch offices, or on the move. Furthermore, the synergy of Cortex™ Data Lake and Panorama™ management provides a cost-effective, cloud-oriented logging solution for Palo Alto Networks Next-Generation Firewalls, with zero hardware requirements and global accessibility. This holistic approach not only bolsters security measures but also facilitates operational efficiency across diverse environments.
Description
Lentiq offers a collaborative data lake as a service that empowers small teams to achieve significant results. It allows users to swiftly execute data science, machine learning, and data analysis within the cloud platform of their choice. With Lentiq, teams can seamlessly ingest data in real time, process and clean it, and share their findings effortlessly. This platform also facilitates the building, training, and internal sharing of models, enabling data teams to collaborate freely and innovate without limitations. Data lakes serve as versatile storage and processing environments, equipped with machine learning, ETL, and schema-on-read querying features, among others. If you’re delving into the realm of data science, a data lake is essential for your success. In today’s landscape, characterized by the Post-Hadoop era, large centralized data lakes have become outdated. Instead, Lentiq introduces data pools—interconnected mini-data lakes across multiple clouds—that work harmoniously to provide a secure, stable, and efficient environment for data science endeavors. This innovative approach enhances the overall agility and effectiveness of data-driven projects.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Cortex Intelligent Automation
Yes
Microsoft Azure
Yes
Monad
Yes
Palo Alto Networks DNS Security Service
Yes
Prisma
Yes
Integrations
Amazon Web Services (AWS)
No
Cortex Intelligent Automation
No
Microsoft Azure
No
Monad
No
Palo Alto Networks DNS Security Service
No
Prisma
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
No
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cortex
Founded
2014
Country
United States
Website
www.paloaltonetworks.com/cortex/cortex-data-lake
Vendor Details
Company Name
Lentiq
Founded
2019
Country
United States
Website
lentiq.com
Product Features
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
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No