Netezza Analytics Reviews

• Speed
• storage
• RAM

all of which contribute to large capacity.

Faster data processing compared to commodity servers.

In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there.

Three-plus years.

No.

No.

Eight out of 10.

Unix, commodity server. Switched to check this technology.

SAS server (Unix) and data storage only.

Expensive to maintain compared to other solutions.

Teradata and Greenplum.

Make sure to check the capability regarding in-DB processing with the application you will be using with this appliance. I am using SAS and it's a dis-appointment due to limited in-DB processing, including data connection pool, that was never resolved by both SAS and IBM Netezza.

There is minimal on-going maintenance.

There were some reports we couldn't get because of performance, but with Netezza we could get more of them.

It needs a better in-house development tool.

I've used it for three years.

Functions are difficult to deploy.

No issues encountered.

No issues encountered.

7/10.

7/10.

Our customers mostly switch from traditional RDMs to appliances.

It is very easy to setup.

We used an in-house vendor who were 8/10.

Choose your most complex scenario. Do a POC and try to scale.

You should know how it works well so you can use its power. So, start with a partner or vendor team.

We primarily use the solution for data mark creation.

The performance of the solution is its most valuable feature. The solution is easy to administer as well. It's very user-friendly. On the technical side, the architecture is simple to understand and you don't need too many administrators to handle the solution.

The hardware has a risk of failure. They need to improve this. It also needs a system re-index.

They should improve their Schema and base it on Snowflake Schema features.

The solution should offer backup and restore options on some features.

The solution has a reasonable amount of stability. I'd rate it as medium stability since the hardware has a risk of failure. 

The scalability is not good. They claim it's scalable but it's not, especially in comparison with other solutions.

The solution offers excellent technical support.

We previously used Mircosoft services such as Teradata. We were using Teradata for our data warehouse. 

The initial setup was straightforward. It's really easy. Deployment for us took about three months. We used about four team members during implementation.

We handled the implementation ourselves.

We did evaluate other options, but in the end, we got a very nice deal from IBM Netezza.

We use the private cloud deployment model.

I would rate the solution six out of ten.