Average Ratings 0 Ratings
Average Ratings 28 Ratings
Description
Avalor’s data fabric enables security teams to expedite their decision-making processes while enhancing accuracy. Our architecture seamlessly combines various data sources, such as legacy systems, data lakes, data warehouses, SQL databases, and applications, to deliver a comprehensive perspective on business performance. The platform is equipped with automation, two-way synchronization, alerts, and analytics, all driven by the capabilities of the data fabric. Security operations gain from swift, dependable, and precise evaluations of enterprise data, encompassing areas like asset coverage, compliance reporting, ROSI analysis, and vulnerability management, among others. Typically, security teams navigate through a multitude of specialized tools and products, each serving different purposes and generating unique outputs. This overwhelming diversity in data can complicate efforts to prioritize tasks and identify where problems exist. In order to respond promptly and accurately to business inquiries, it is essential to leverage data from throughout the organization effectively. By consolidating insights, teams can focus on critical issues and enhance overall security posture.
Description
Gathr is a Data+AI fabric, helping enterprises rapidly deliver production-ready data and AI products. Data+AI fabric enables teams to effortlessly acquire, process, and harness data, leverage AI services to generate intelligence, and build consumer applications— all with unparalleled speed, scale, and confidence.
Gathr’s self-service, AI-assisted, and collaborative approach enables data and AI leaders to achieve massive productivity gains by empowering their existing teams to deliver more valuable work in less time. With complete ownership and control over data and AI, flexibility and agility to experiment and innovate on an ongoing basis, and proven reliable performance at real-world scale, Gathr allows them to confidently accelerate POVs to production. Additionally, Gathr supports both cloud and air-gapped deployments, making it the ideal choice for diverse enterprise needs.
Gathr, recognized by leading analysts like Gartner and Forrester, is a go-to-partner for Fortune 500 companies, such as United, Kroger, Philips, Truist, and many others.
API Access
Has API
No
API Access
Has API
No
Integrations
Jira
Yes
Amazon Web Services (AWS)
Yes
Apiiro
Yes
Confluence
No
Exabeam
Yes
GitHub
No
Gmail
No
Lacework
Yes
Meta Ads
No
Microsoft Defender for Cloud
Yes
Integrations
Jira
Yes
Amazon Web Services (AWS)
No
Apiiro
No
Confluence
Yes
Exabeam
No
GitHub
Yes
Gmail
Yes
Lacework
No
Meta Ads
Yes
Microsoft Defender for Cloud
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.25/credit
Free Trial
Yes
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
Yes
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Avalor
Website
www.avalor.io
Vendor Details
Company Name
Gathr.ai
Country
United States
Website
www.gathr.ai
Product Features
Data Fabric
Data Access Management
No
Data Analytics
No
Data Collaboration
No
Data Lineage Tools
No
Data Networking / Connecting
No
Metadata Functionality
No
No Data Redundancy
No
Persistent Data Management
No
Vulnerability Management
Asset Discovery
No
Asset Tagging
No
Network Scanning
No
Patch Management
No
Policy Management
No
Prioritization
No
Risk Management
No
Vulnerability Assessment
No
Web Scanning
No
Product Features
Data Fabric
Data Access Management
No
Data Analytics
No
Data Collaboration
No
Data Lineage Tools
No
Data Networking / Connecting
No
Metadata Functionality
No
No Data Redundancy
No
Persistent Data Management
No
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
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
Streaming Analytics
Data Enrichment
Yes
Data Wrangling / Data Prep
Yes
Multiple Data Source Support
Yes
Process Automation
Yes
Real-time Analysis / Reporting
Yes
Visualization Dashboards
Yes