Carbonite Availability vs. Fivetran

I believe it would work well with continuous replication in a DR scenario with no time limits and having the ability to fail back is a bonus, but in a one off move the decision to restrict the time it can sync for has proven to be an issue for us.

Incentivized

Fivetran's business model justifies the use-case where we require data from a single source basically a lot of data but if the requirement is not on the heavier side, Fivetran comes to costly operation when compared to its peers. Otherwise, I'll recommend Fivetran for stability and update and seamless service provider.

Incentivized

• A product is worthless in my opinion if you don't have a great support team to work with. I've had issues with replication jobs that were resolved quickly and easily by the support team.
• DR - Doubletake is the only tool that I'm aware of that can handle DR replication of both physical and virtual environments. There sre others, but they use a snapshot technology, where doubletake has continuous replication of data.
• Move - we have moved physical and virtual environments from around the world without ever having to leave the office. One of the companies we migrated started off with their equipment in Switzerland, and after the servers were in a fully protected state in the US, that failover to the new location took 45 min.

Incentivized

• Easily connects to source data using delivered connectors
• Transforms data into standard models and schemas
• Has very good documentation to help quickly setup connectors

Incentivized

• The initial set-up can be challenging in some regard.
• Would like to see version updates that support all OS. Unfortunately we use several OS and are on an older version with 7 of our 8 servers.
• Will be doing the upgrades to version 8 shortly and hope the software is compatible with all OS.

Incentivized

• Very difficult to get connectors enhanced if a specific needed object is not supported by them
• Depending on the edition needed and the data volumes, can get quite expensive

Incentivized

Cabonite Availability is a very practical and useful tool that can help any business weather any type of IT disaster. The ease and quickness of restoring data helps us provide as seamless an experience as possible. Many times our customers will never know there was an outage. This brings confidence in our brand and improves our organization's standing and reputation.

Incentivized

Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector.

Incentivized

It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.

Incentivized

Once through to support it is very good and they have assisted us through a number of issues. I don't always think that they provide a solution, more a workaround, but in a move situation where each copy is moving once, that isn't an issue. I'd be more concerned if we were using it to manage a DR scenario.

Incentivized

It is better for critical apps than Veeam due to the lower RPO. Veeam is favoured by some customers due to it's attractive price point. Zerto is a very strong product and is innovating continuously. I don't see so much of this from DoubleTake.

Incentivized

We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly.

Incentivized

• From data recovery perspective for customers- Carbonite DoubleTake is a good solution.
• The honest price for Carbonite DoubleTake and for the ROI -it's a good transaction for the customer.

Incentivized

• It has been very positive in serving BI team with new source requests
• It has been OK at scaling to match as data volumes as source data size grows

Incentivized