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What is Raynet One Data Hub?

Are your IT initiatives hindered by business shortcomings resulting from inadequate or erroneous data? Organizations often struggle to consolidate their IT asset information and extract meaningful insights from it. While data collection is feasible, the challenge lies in normalizing and enriching that data effectively. In fact, research indicates that 90% of the time, organizations can gather data but fail to convert it into clear visibility or actionable insights through effective aggregation and normalization. With the Raynet Unified Data Platform, you gain uninterrupted access to high-quality, validated, and trustworthy data that supports informed decision-making in IT asset management. This data platform equips you with the essential insights needed to oversee and optimize your IT landscape efficiently. By using such a platform, businesses can significantly improve their operational capabilities and enhance overall performance.

What is Gathr.ai?

Gathr serves as a comprehensive Data+AI fabric, enabling businesses to swiftly produce data and AI solutions that are ready for production. This innovative framework allows teams to seamlessly gather, process, and utilize data while harnessing AI capabilities to create intelligence and develop consumer-facing applications, all with exceptional speed, scalability, and assurance. By promoting a self-service, AI-enhanced, and collaborative model, Gathr empowers data and AI professionals to significantly enhance their productivity, enabling teams to accomplish more impactful tasks in shorter timeframes. With full control over their data and AI resources, as well as the flexibility to experiment and innovate continuously, Gathr ensures a dependable performance even at significant scales, allowing organizations to confidently transition proofs of concept into full production. Furthermore, Gathr accommodates both cloud-based and air-gapped installations, making it a versatile solution for various enterprise requirements. Recognized by top analysts like Gartner and Forrester, Gathr has become a preferred partner for numerous Fortune 500 firms, including notable companies such as United, Kroger, Philips, and Truist, reflecting its strong reputation and reliability in the industry. This endorsement from leading analysts underscores Gathr's commitment to delivering cutting-edge solutions that meet the evolving needs of enterprises today.

Media

Media

Integrations Supported

Confluence
Databricks Data Intelligence Platform
Facebook
Facebook Ads
GitHub
GitLab
Gmail
HubSpot AI Search Grader
IBM Rational ClearQuest
Jira
Microsoft Excel
OpenAI
Pinecone Rerank v0
PowerShell
Raynet One
SQL Server

Integrations Supported

Confluence
Databricks Data Intelligence Platform
Facebook
Facebook Ads
GitHub
GitLab
Gmail
HubSpot AI Search Grader
IBM Rational ClearQuest
Jira
Microsoft Excel
OpenAI
Pinecone Rerank v0
PowerShell
Raynet One
SQL Server

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.25/credit
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Raynet

Date Founded

1999

Company Location

Germany

Company Website

raynet.de/raynet-one-data-hub/

Company Facts

Organization Name

Gathr.ai

Company Location

United States

Company Website

www.gathr.ai

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and Features

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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