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.

We're using several databases, about 1000, and we create lots of queries and run them from different places and from different processes. Both for the processing database and analytic database, we're using queries. It's easy to upload and download the data using the cloud or mobile storage architecture on our site. The solution offers very good management.

For me, as an end-user, everything that I do on the solution is simple, clear, and understandable.

The performance level the solution offers is very good.

The Java encoded integrators are good.

I'm not an administrator, so I can't speak to the solution on a deeper level. For me, everything works well.

The solution could implement more reporting tools and networking utilities.

I've been using the solution for six years.

The scalability of the solution seems good. We've been able to move from small to large databases quite easily.

I didn't participate in the installation, but I believe the process is easy. The installation instructions, from what I understand, are easy to follow. Even the integration from another platform, from DB2 and Microsoft SQL, was no problem for us.

For the last two years, we've been using the cloud deployment model. We're an IBM partner.

We're using various types of databases including DB2 and Microsoft SQL.

I'd rate the solution ten out of ten. We had no problem integrating this solution with our legacy platform. 

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.