Data Sheet
Language: English
Open-E JovianDSS On- and Off-site Data Protection
Date: Jan 20, 2020
Read the On- and Off-site Data Protection brochure to learn more aout the ultimate data protection.
Protect your business against the effects of ransomware attacks thanks to frequent snapshots and advanced retention plans.
Data Sheet
Language: English
Date: Jan 20, 2020
Read the On- and Off-site Data Protection brochure to learn more aout the ultimate data protection.
Blog
Language: English
Date: Jul 3, 2018
The new update 25 for the ZFS-based Open-E JovianDSS has just been released and is now available on our webiste for download. Read this article to learn about the included …
Blog
Language: English
Date: Jun 18, 2018
In this article, we present a successful installation of Open-E JovianDSS for a company that handles huge amounts geospatial data. Read on! Geospatial data – what exactly is this? Geospatial …
Article
Date: Dec 14, 2017
Clouds are becoming more and more popular as all data and applications can be easily accessed, stored and maintained from a location that can be approached via the Internet, anytime and from any place in the world and from various devices. The ZFS- and Linux-based Open-E JovianDSS is the perfect backend software for a Cloud, no matter if you are an Enterprise, SMB, or SOHO user, or if you want to use it with Public or Private Cloud.
Article
Date: Aug 01, 2017
The On- and Off-site Data Protection in Open-E JovianDSS Off-site Data Protection effectively prevents data loss and helps you to achieve maximum data security, especially in High Availability Cluster Setups. Automatic snapshots and asynchronous replication ensure consistent backup that keeps your data safe from theft, ransomware attacks or other disastrous events – with instant access and easy roll-back to previous versions in case of data loss.
Article
Date: Feb 21, 2017
Generally speaking, Hyper-converged Storage is the combination of computing, networking and storage in one unified hardware platform. Using commodity HDDs and solid state drives, the Software-defined Infrastructure automatically takes care of the storage and virtualization. The hardware platform is normally based on cheap x86 hardware which can be easily and cost-effectively scaled to growing requirements for performance and storage space.
Article
Date: Nov 22, 2016
If you are looking for a solution to back up your data in an off-site location, look no further. With Open-E JovianDSS you can keep your business-critical data safe. As data is one of the most valuable cornerstones of modern businesses, and every company facing a 35% risk of bankruptcy if they don't have a Disaster Recovery plan, you shouldn’t go without one.
Article
Date: Dec 18, 2015
Open-E’s Cloud Data Protection Service offers continuous data safety and fast recovery of your data, provided by the MSP (Managed Service Provider) of your choice. No matter what kind and size of business you run, it will safeguard your company by protecting your files and allowing to restore them after data loss or corruption. No initial investment required, all technical matters taken care of by your MSP, steady and affordable monthly fee.
Article
Date: Jun 17, 2015
Disaster Recovery is one of the most essential strategies for securing lost data against disasters. It includes all processes and procedures that are performed in order to prevent large failures and to avoid the consequences by keeping copies of data. With a consistent strategy, you are able to quickly recover business-critical files and applications of your IT infrastructure - ensuring business continuity and minimization of data loss.
Article
Date: Jun 17, 2015
Disaster Recovery is one of the most essential strategies ecuring to prevent lost data against disasters. It includes all processes and procedures that are performed in order to prevent large failures and to avoid the consequences by keeping copies of data. With a consistent strategy, users are able to recover business-critical files and applications of their IT infrastructure ensuring business continuity and minimization of data loss.