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Ayinde Hammed - PeerSpot reviewer
BI Developer at Cndro LLC
Real User
Top 5Leaderboard
Helps you cleanse your data, validate and correct addresses, and identify and remove duplicates
Pros and Cons
  • "The Nomo, select form, and so on are the most valuable features."
  • "Downtime issues should be improved."

What is our primary use case?

I use SQL most of the time to clean up the data, transform it, and then push it into the database. We extract data from apps and from websites using a lot of applications. We do that using Python. We used Outlook before to pull data from, the source and then log into Snowflake. 

What is most valuable?

The Nomo, select form, and so on are the most valuable features. We do a lot of stuff with CDL, and a CTE. We do this to structure SQL in such a way that is a bit reasonable and easy to read.

What needs improvement?

Downtime issues should be improved. 

For how long have I used the solution?

I have been using SQL Power Data Quality for four years. 

What do I think about the stability of the solution?

There is some downtime, but most of the time the solution is stable. 

What do I think about the scalability of the solution?

It is a scalable solution. Presently, five to twenty workers are working on the solution. 

Which solution did I use previously and why did I switch?

I previously used Alteryx. 

How was the initial setup?

The initial setup was seamless.

What other advice do I have?

It is a very good solution and I recommend it. I rate the overall solution an eight out of ten. 

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Fraud Strategist(Actimize/SAS) at a financial services firm with 10,001+ employees
Real User
Top 5Leaderboard
Is easy to deploy and is stable and scalable
Pros and Cons
  • "It is a scalable solution. We have over 1,000 SQL Power Data Quality users in our organization."
  • "The normalization factor should be improved so that it is better scaled. It should be more user-friendly."

What is most valuable?

I like the load balancing feature.

What needs improvement?

The normalization factor should be improved so that it is better scaled. It should be more user-friendly.

It should be easier to export reports.

For how long have I used the solution?

I've been using SQL Power Data Quality for 10 years.

What do I think about the stability of the solution?

SQL Power Data Quality is stable.

What do I think about the scalability of the solution?

It is a scalable solution. We have over 1,000 SQL Power Data Quality users in our organization.

How was the initial setup?

The initial setup is easy and took about two days.

What other advice do I have?

I would recommend SQL Power Data Quality and give it a rating of nine out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.