Scalable solution for new businesses that will literally scale as you grow
April 10, 2024

Scalable solution for new businesses that will literally scale as you grow

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with TrueNAS

It is the canonical source for all our data in our network. This solution has been a solid solution that we have used for over 10 years. It was straight forward to implement. The most challenging task was to plan the pools and grouping of disks in those pools. I have no need to look for another solution as this provides sufficiently for our current needs.
  • web GUI or CLI for administration
  • provides for Linux, Windows, Mac client interoperability
  • easy basic deployment
  • web GUI in managing ZFS. You wind up on the CLI to administrate the devices and the pool.
  • With Scale, it provides the capability with for clustering storage, though seems to be growing in maturity. Core does not provide that due to FreeBSD limitations. Given having to migrate to Scale, I look forward to having a solution in hand as the need for clustering becomes a need in the future.
  • No ROI was measured as this was a solution that fit our organizational needs for a company starting out and architecturally, a technical solution that would grow with our business.
Netapp was too pricey, really a solution for mid to large businesses. Redhat Gluster just didn't fit for a business that was just starting - too administratively intensive as well.

Do you think TrueNAS delivers good value for the price?

Yes

Are you happy with TrueNAS's feature set?

Yes

Did TrueNAS live up to sales and marketing promises?

Yes

Did implementation of TrueNAS go as expected?

Yes

Would you buy TrueNAS again?

Yes

Storing bulk data that is shared by one or more people. Makes backups simpler and avoids data duplication across a network of storage devices as it is administrated in one place.
Being able to host jails/containers on top provides for one less server and access to the data is virtually local.