CEO at a tech company with 51-200 employees
We examined SAP Data Warehouse and IBM Data Warehouse but SQL Data Warehouse provided a more extensive way of integrating data.
What is most valuable?
• SQL Data Warehouse provides our organization with a way to access all corporate data in a uniform way.
• SQL Data Warehouse allows us to manage our database using network or hierarchical database systems rather than solely relying on relational DBMSs.
• It supports the bottom-up process of data warehouse creation where several data marts can be joined to form one big warehouse. I found this very handy especially where a few teams are involved.
What needs improvement?
• Data cleaning involves the use of special software to help the cleaning team uniformly match attributes from the target source data to its destination.
• It is expensive. SQL Data Warehouse is not supported by all versions of SQL Server such as the Express version and therefore becomes unavailable to many limiting its acquisition and use.
• Uses a different approach to databases than that used in relational DBMS hence posing a challenge to novices.
What other advice do I have?
• It comes as a special tool of cleaning data through the data transformation process where data is extracted from many sources before it is assembled and consolidated to form a single database. This is the main factor that led my company to choose SQL Data Warehouse as the special tool to consolidate relational databases. Close examination was done on SAP Data Warehouse and IBM Data Warehouse but SQL Data Warehouse provided a more extensive way of integrating data. I personally value the role that SQL Data Warehouse has contributed in achieving the goals of business intelligence. Users will to generate timely reports from huge databases as well as database cleaning should embrace this provision.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Vice President at a tech consulting company with 201-500 employees
Very scalable, good stability, and a straightforward initial setup
Pros and Cons
- "The data transmissions between the data models is the most valuable feature."
What is our primary use case?
We primarily use the solution to build up our server analytics.
What is most valuable?
The data transmissions between the data models is the most valuable feature.
The database is enormous, so much so that we haven't exploited it completely.
What needs improvement?
I don't have any recommendations for new features at this time.
For how long have I used the solution?
I've been using the solution for about one year.
What do I think about the stability of the solution?
The stability of the solution is good. We haven't had any issues with it.
What do I think about the scalability of the solution?
The solution is very scalable.
How are customer service and technical support?
My understanding is that the team's experience with technical support has been good.
Which solution did I use previously and why did I switch?
We didn't previously use a different solution. Our customers chose this solution.
How was the initial setup?
The initial setup was straightforward. We had a knowledgeable team working on the implementation. Deployment took about six to eight weeks.
What other advice do I have?
We use the on-premises deployment model.
I'd rate the solution eight out of ten.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Updated: November 2024
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