What is better F(x) Data Cloud or MozyPro? Finding the ideal Backup Software for your business is essential to increasing your company’s efficiency. In our platform, you can easily review a wide range of solutions to see which one is the ideal software for your requirements. Here you can match F(x) Data Cloud vs. MozyPro and check their overall scores (8.0 vs. 8.1, respectively) and user satisfaction rating (100% vs. 96%, respectively).
You can also analyze the specifics of rates, terms, plans, functions, tools, and more, and decide which software offers more benefits for your business. In practice, choose the software that lets you to scale the features and pricing to match your business growth or lack of it.
At this time, the most significant services in our Backup Software category are: BDRSuite Backup & Replication, Avamar, VMWare vCenter Server.
F(x) Data Cloud offers several SMB and enterprise pricing plans for users to choose from. Give the details a look, and select the best plan for your business:
At the moment, F(x) Data Cloud offers a streamlined integration with OpenStack.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
F(x) Data cloud is a cloud infrastructure service initiated by F(x) Data Labs. The scalable, open source cloud infrastructure platform delivers an alternative to closed cloud environments.
All the data, facts and opinions that we offered in this analysis were collated from official company websites, advertising materials available online, actual experience from real users as well as our personal direct use of every service by a professional reviewer. We put a lot of effort to extensively analyze each product, so we not only analyze it on our own, but we also match our observations with views of other members from the SaaS community.
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