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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 Equalum?
Equalum presents an innovative platform for continuous data integration and streaming that effortlessly supports real-time, batch, and ETL processes through a unified, user-friendly interface that requires no programming skills. Experience the transition to real-time functionality with a simple, fully orchestrated drag-and-drop interface designed for maximum convenience. The platform allows for rapid deployment, effective data transformations, and scalable data streaming pipelines, all accomplished in a matter of minutes. Its robust change data capture (CDC) system facilitates efficient real-time streaming and replication across diverse data sources. Built for superior performance, it caters to various data origins while delivering the benefits of open-source big data technologies without the typical complexities. By harnessing the scalability of open-source solutions like Apache Spark and Kafka, Equalum's engine dramatically improves the efficiency of both streaming and batch data processes. This state-of-the-art infrastructure enables organizations to manage larger data sets more effectively, enhancing overall performance while minimizing system strain, which in turn leads to better decision-making and faster insights. Furthermore, as data challenges continue to evolve, this advanced solution not only addresses current requirements but also prepares businesses for future demands. Embrace a transformative approach to data integration that is versatile and forward-thinking.
Integrations Supported
Apache Kafka
Apache Spark
Microsoft Excel
PowerShell
Raynet One
SQL Server
Integrations Supported
Apache Kafka
Apache Spark
Microsoft Excel
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
Pricing not provided.
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
Equalum
Company Location
Israel
Company Website
www.equalum.io
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 Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Replication
Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control