It provides robust stability capabilities. I would rate it ten out of ten.

It provides good stability.

In terms of performance, if we compare it to other business solutions, it's fair. On its own, the performance is not bad. It's easy to analyze and understand. I would rate the performance at around seven out of ten.

I rate IBM SPSS Statistics' stability a ten out of ten. 

The product is very stable, no problems at all. 

It is a stable platform. We only encounter issues while working on a computer with low RAM. Otherwise, it works perfectly fine.

The solution is stable. There are no bugs or glitches. It doesn't crash or freeze. 

I'd rate the solution's reliability between seven to nine out of ten. 

It's been stable for 40 years.

I like the stability and would rate it at more than 95%. If you're working with the package for a long period of time, you understand most of the texts that you need to know.

I told you I wrote five books about using SPSS, so of course, I'm totally impressed with this package more than any other one.

When I was in the United States, I started to use SAS. But for the Middle East, SAS is not as easy as SPSS.

IBM SPSS Statistics is a stable solution.

I can't think of a time when SPSS ever crashed on me.

Stability is very good if you have a laptop that has good RAM and a good, powerful laptop, then SPSS can take up really huge amount of data. Otherwise, it slows down the laptop. The limitation is processor issues.

SPSS is very reliable. So once it's up and running, there's little maintenance unless your network goes down. It's pretty much like Microsoft Office or those standalone programs. They keep running. And I haven't hit a wall where there are so many transactions that it breaks or pauses. You can connect a 2 kilobyte database to a terabyte database. It's just a matter of processing time, but it processes nonetheless. There are no hiccups or anything.

The solution is very stable. I haven't come across or heard of any problems on the solution. There's no bugs or glitches. It works well.

The stability of the solution is good. We've never faced any issues.

This solution is stable.

Not much. I think it's good enough.

It is a stable solution. There's no doubt. But you know, the stability has to be evolving every day. It's not that today I'm stable. Stability is not static. It is dynamic. My effective operative stability will not be carried forward to future generations without any hassles. No, it's not like that. Every day you have to evolve in the technologies to meet the demands.

As I told you earlier, SPSS still has to mature in terms of fetching data from the high volume data databases, like SAP HANA can. 

SAP HANA is a column level database, a columnar database, it's not a low level database. So SPSS has to show that kind of maturity. I assume that they'll scale up because IBM knows how to tackle the market.

The solution is stable. There are no problems with reliability. It doesn't crash. there aren't bugs or glitches that we need to deal with. It's good.

This is a stable product.

For our purposes, and how we use it, I've found it to be very stable.

It has some bugs off and on, but nothing has been a roadblock for us.

The stability of SPSS Statistics doesn't seem to have bugs, glitches, or crashes. It's pretty stable and it functions well under the loads we have tested. The number of SPSS users is currently not more than 10 people. The data that we process with the SPSS is never really more than 2000 rows. So we only know that it is stable at this level of usage so far. If there is an opportunity to process 100,000 rows, I don't know what the performance would be. From what I know we would not see any problems, but so far our usage is limited.  

This product is stable.

Some of the versions have issues. It is not always made public that a “fix” is available. Many hours can be wasted thinking you have something wrong in your code when it really is an issue with the newest version.

This solution is stable, we have not had any issues.

Not applicable.

The stability of this solution is good.

IBM SPSS Statistics has been stable in our usage.

It breaks under the weight of a moderate amount of data.