It is a stable solution. The only issue with the product is that the process is very slow when we have a huge amount of data.

Data Warehouse rarely goes down on us.

The performance and reliability are good. We find it to be very stable. There are no bugs or glitches. It doesn't crash or freeze. 

The solution is stable for medium to large-sized organizations, though I haven't used it on a large scale, like on petabyte-sized databases. Things are working fine on terabyte-sized databases. ETL can be automated, and job scheduling can be done relatively fast. Even the control dome of servers can be configured. Maintaining the SQL Server database would be easy for a DBA who has used any other databases like Oracle MySQL or PostgreSQL.

It is a stable solution. 

It is a very stable platform. However, we have to roll back to the previous state in a few instances while updating the software. I rate the stability an eight out of ten.

The solution is stable.

I rate the stability a ten out of ten.

Microsoft Parallel Data Warehouse is a fairly stable solution.

I rate Microsoft Parallel Data Warehouse a nine out of ten for stability.

The performance is very good. It is stable and reliable. There are no bugs or glitches. It doesn't crash or freeze. 

This is a stable solution and we haven't had any issues. Even if we encounter issues, there is a lot of help available. If issues are identified then we will have a quick turnaround time for fixing them.

The solution is pretty stable. Sometimes we have problems, but Microsoft manages and solves them quickly. We had some problems with Python and ETL processes inside Synapse. However, Microsoft solved the problem in less than an hour.

The stability is good.

The stability of this solution is based on the set up from the outsourcing team. There are a lot of things to consider, including the connection.

It is constantly being used with transactions occurring every minute.

The solution is stable. We have been using it for ten years and it hasn't given us any issues. I can't recall if there are bugs or glitches. The solution doesn't crash on us, or freeze. It's pretty reliable.

This is a stable solution. Once your data is stable, the data warehouse is stable too. If the structure of the data changes then you can't change the warehouse to add or delete fields or columns.

The program is very stable - even during power outages it only takes a few minutes to be up and running again.

Data Warehouse does not have any issues related to the product itself when it comes to stability. Maybe there is more likely to be another issue in the network or conflicts and things of that nature that can cause instability. But the product itself is stable.  

We have not faced any major issues with this product.

It is stable. We have migrated millions to billions of data points in Cubes from system to system, while running data cleansing conditions. Putting restraints on this can be time consuming which is why people may want to go to another server. When you inject equation and conditions, then it consumes a lot of time. Though, I have never compared this time consumption to other tools.

The stability depends on your data and whether it is null. If the data is set up properly then it will be more stable.

The Microsoft Parallel Data Warehouse is a stable solution.

There were stability issues when the product was in beta.

The stability of the solution is good. We haven't had any issues with it.