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What is PoINT Data Replicator?
In contemporary times, a growing number of organizations are turning to object and cloud storage solutions for managing unstructured data, supplementing their reliance on traditional file systems. This trend has been driven by the advantages these modern storage methods offer, particularly for archival data, leading to a notable transition of files from outdated NAS systems to more advanced cloud storage options. While this migration has resulted in an expanded volume of data being stored in the cloud and through object storage systems, it has also created a significant, yet often ignored, security risk. Many users mistakenly believe that the data they store in cloud environments or on-site object storage is automatically secure, leaving it vulnerable as it often lacks proper backups. Such a belief is dangerous and can lead to serious consequences, as the reliability and redundancy that these storage services provide do not protect against threats such as accidental deletions, ransomware, malware, or technological malfunctions. Consequently, it is essential for organizations to adopt effective backup and replication strategies for their data housed in cloud and object storage, ideally utilizing different storage technologies located in separate environments while maintaining the original data format. This proactive approach not only strengthens data security but also significantly lowers the risks associated with potential data breaches or losses, thus safeguarding the integrity of critical information. Ultimately, by implementing these measures, organizations can ensure a higher level of protection for their valuable data assets in an increasingly digital landscape.
What is DataLakeHouse.io?
DataLakeHouse.io's Data Sync feature enables users to effortlessly replicate and synchronize data from various operational systems—whether they are on-premises or cloud-based SaaS—into their preferred destinations, mainly focusing on Cloud Data Warehouses. Designed for marketing teams and applicable to data teams across organizations of all sizes, DLH.io facilitates the creation of unified data repositories, which can include dimensional warehouses, data vaults 2.0, and machine learning applications.
The tool supports a wide range of use cases, offering both technical and functional examples such as ELT and ETL processes, Data Warehouses, data pipelines, analytics, AI, and machine learning, along with applications in marketing, sales, retail, fintech, restaurants, manufacturing, and the public sector, among others.
With a mission to streamline data orchestration for all organizations, particularly those aiming to adopt or enhance their data-driven strategies, DataLakeHouse.io, also known as DLH.io, empowers hundreds of companies to effectively manage their cloud data warehousing solutions while adapting to evolving business needs. This commitment to versatility and integration makes it an invaluable asset in the modern data landscape.
Integrations Supported
Aloha Cloud POS
ConnectWise RMM
Dayforce
Dropbox
Google Ads
Google Cloud BigQuery
Google Drive
HubSpot Customer Platform
Jira
Microsoft Teams
Integrations Supported
Aloha Cloud POS
ConnectWise RMM
Dayforce
Dropbox
Google Ads
Google Cloud BigQuery
Google Drive
HubSpot Customer Platform
Jira
Microsoft Teams
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$99
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
PoINT Software & Systems
Date Founded
1994
Company Location
Germany
Company Website
www.point.de/en/products/point-data-replicator/file-and-object-replication-to-s3-cloudobject-storage/
Company Facts
Organization Name
DataLakeHouse.io
Date Founded
2019
Company Location
United States
Company Website
datalakehouse.io
Categories and Features
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
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
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge