The solution's initial setup is quite easy compared to other solutions.

The initial setup was very complex. However, this can be attributed to our environment and the complexity of the business which we process.

The hardware set-up is straightforward.

As the box was very heavy, datacenter flooring required additional reinforcement. The box runs Linux and the initial setup is quite straightforward. ODBC drivers on the servers (ETL or reporting) which connect to the box may need to be upgraded.

Initial set-up of the system is quite simple. Eliminates several steps required in a custom built platform, like storage system configuration, planning database storage.

The setup was straightforward.

It was pretty straightforward, but we had to get several areas involved in initial setup.

The setup was not complex. It was fine. Initially the vendor gave us all the support, including a hands-on course before using the machine.

The rule of thumb in the data warehousing/business intelligence space starts with a simple PoC. That being said, there must be a few questions to be answered by the platform. The data model must be simple and flexible enough to address some “extra questions” within a set timetable, in case the customer wants to extend the PoC prior to making the purchase.

Very straightforward. Data movement is very easy. It works better if you do 1 large file as opposed to several small files

Once it has been shipped and installed in your data center, it's just the point of plugging it in and the initial configuration. IBM people come and when they install it, they initialize it and then they give us the password and from there we move on in. It's very simple from there.

IBM sets up the NPS and does the initial configurations. As an admin, you will have a completely configured system ready to work on.

It is very straightforward because Netezza's initial setup took less than two days and the entire data set was loaded onto the Netezza appliance to which users had full access to the system.

It was a straightforward set-up. You just have to install the appliance, turn it on, and you can start using.

Very straightforward for Pure Data but the initial set-up was affected by the fact that we seemed to get a junior technician from IBM who was not as good as other engineers we have had.

Initial setup is pretty straightforward, as IBM provides ramp-up training through in-house training and assigns a technical account manager to make faster resolution of queries.

The initial setup is straightforward as it is an appliance. IBM's technical support team takes care of the entire setup process, and you don't need an expert in Netezza to perform the implementation.

Initial set-up was straightforward.

I wasn't involved in the setup. But it's an appliance, so there is no real setup, other than there is a day for an IBM technician to come out and stand it up.

I was not involved on the hardware side, but I was on the data modeling aspect.

I would say it was straightforward. We used the IBM InfoSphere for the ETL scripts. Those seem to give plenty of visibility for allthe different steps in the ETL process, especially debugging or going in and making modifications as different tickets come through.

Working with some of the other developers, whenever they are given a ticket, it's pretty simple to see what step in the process and additional code needs to be added, or modified, or removed; to see exactly where it is and how it's going to affect things downstream, and to be able to see at what exact point that something has failed. That part, it's been more straightforward and just the visibility of the whole process.

The setup took only a few hours with all built-in apps. It is very quick and easy to use.

It was straightforward.

It was handled by the vendor as it's proprietary.

Setup is not that complex. Within 24 hours we had everything completed and had copied the dataset from Oracle. Our migration approach was to use a shell script (pipe).

I didn't set up but our database administrators have said it is much simpler than Oracle, or DB2.In house - have a person trained on PureData - it will pay off