Cortex Data Lake Description
Palo Alto Networks solutions can be enabled by integrating security data from your enterprise. Rapidly simplify security operations by integrating, transforming, and collecting your enterprise's security information. Access to rich data at cloud native scale enables AI and machine learning. Using trillions of multi-source artifacts, you can significantly improve detection accuracy. Cortex XDR™, the industry's leading prevention, detection, response platform, runs on fully integrated network, endpoint, and cloud data. Prisma™, Access protects applications, remote networks, and mobile users in a consistent way, no matter where they are. All users can access all applications via a cloud-delivered architecture, regardless of whether they are at headquarters, branch offices, or on the road. Combining Panorama™, Cortex™, and Data Lake management creates an affordable, cloud-based log solution for Palo Alto Networks Next-Generation Firewalls. Cloud scale, zero hardware, available anywhere.
Cortex Data Lake Alternatives
Microsoft Sentinel
Standing watch, at your side. Intelligent security analytics for your entire organization. With SIEM reinvented for modern times, you can see and stop threats before they cause damage. Microsoft Sentinel gives you a birds-eye view of the entire enterprise. Use the cloud and large-scale intelligence gleaned from decades of Microsoft security expertise to your advantage. Artificial intelligence (AI) will make your threat detection and response faster and more efficient. Reduce the time and cost of security infrastructure setup and maintenance. You can elastically scale your security needs to meet them, while reducing IT costs. Collect data at cloud scale - across all users, devices and applications, on-premises or in multiple clouds. Using Microsoft's unparalleled threat intelligence and analytics, detect previously discovered threats and reduce false positives. Microsoft's decades of cybersecurity experience allows you to investigate threats and track suspicious activities on a large scale.
Learn more
Kylo
Kylo is an enterprise-ready open-source data lake management platform platform for self-service data ingestion and data preparation. It integrates metadata management, governance, security, and best practices based on Think Big's 150+ big-data implementation projects. Self-service data ingest that includes data validation, data cleansing, and automatic profiling. Visual sql and an interactive transformation through a simple user interface allow you to manage data. Search and explore data and metadata. View lineage and profile statistics. Monitor the health of feeds, services, and data lakes. Track SLAs and troubleshoot performance. To enable user self-service, create batch or streaming pipeline templates in Apache NiFi. While organizations can spend a lot of engineering effort to move data into Hadoop, they often struggle with data governance and data quality. Kylo simplifies data ingest and shifts it to data owners via a simple, guided UI.
Learn more
Azure Data Lake
Azure Data Lake offers all the capabilities needed to make it easy to store and analyze data across all platforms and languages. It eliminates the complexity of ingesting, storing, and streaming data, making it easier to get up-and-running with interactive, batch, and streaming analytics. Azure Data Lake integrates with existing IT investments to simplify data management and governance. It can also seamlessly integrate with existing IT investments such as data warehouses and operational stores, allowing you to extend your current data applications. We have the experience of working with enterprise customers, running large-scale processing and analytics for Microsoft businesses such as Office 365, Microsoft Windows, Bing, Azure, Windows, Windows, and Microsoft Windows. Azure Data Lake solves many productivity and scaling issues that prevent you from maximizing the potential of your data.
Learn more
Qlik Data Integration
Qlik Data Integration platform automates the process for providing reliable, accurate and trusted data sets for business analysis. Data engineers are able to quickly add new sources to ensure success at all stages of the data lake pipeline, from real-time data intake, refinement, provisioning and governance. This is a simple and universal solution to continuously ingest enterprise data into popular data lake in real-time. This model-driven approach allows you to quickly design, build, and manage data lakes in the cloud or on-premises. To securely share all your derived data sets, create a smart enterprise-scale database catalog.
Learn more
Integrations
Company Details
Company:
Cortex
Year Founded:
2014
Headquarters:
United States
Website:
www.paloaltonetworks.com/cortex/cortex-data-lake
Media
Recommended Products
Start building the next generation of GenAI apps today
MongoDB Atlas is a fully-managed developer data platform built by developers, for developers. With tight integration to Google Cloud services such as Vertex AI and BigQuery, you can accelerate application deployment to stay at the forefront of AI innovation.
Product Details
Platforms
SaaS
Type of Training
Documentation
Live Online
Webinars
Videos
Customer Support
Phone Support
Online
Cortex Data Lake Features and Options
Cortex Data Lake User Reviews
Write a Review- Previous
- Next