This is basic and has most of the required tools in Data Analytics
September 23, 2019

This is basic and has most of the required tools in Data Analytics

Akshaya Bhardwaj | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Microsoft SQL Server

In my company we use it project/account wise, Our main purpose to use it is because it has a very easy user interface and lots of internet communities for providing the solution.
  • We used to merge the data from different sources. For this, it is very to do in SQL Server.
  • Main times we used it to clean the data by reducing the unwanted rows and removing the delimited values.
  • Creation of stored procedures are pretty much simple in it, and these created procedures are very handy and simple to create because syntax is very easy in it.
  • There are no data visualization options available in it. For that, we need to connect it with different tools.
  • No inbuilt statistical modules/formulas. We need to make our own.
  • If data is more than 100 Columns and rows then it will definitely crash on its own.
  • It gave positive returns always, as it is comparatively cheap and handy to use with limited training.
  • A single connection can be used by multiple resources, which makes it more cost-effective.
  • Overall, the data processing speed is very high, which helps us in doing multiple data loading and executions.
Lots of internet communities and the data processing speed is very high. It is very cost-effective and easy to learn.
Good support from Microsoft Corp for this product and for every requirement lots of blogs are present on the internet.

Do you think Microsoft SQL Server delivers good value for the price?

Yes

Are you happy with Microsoft SQL Server's feature set?

Yes

Did Microsoft SQL Server live up to sales and marketing promises?

Yes

Did implementation of Microsoft SQL Server go as expected?

I wasn't involved with the implementation phase

Would you buy Microsoft SQL Server again?

Yes

For basic data manipulation and data cleaning, it is one of the best tools that is available in the market. We use it to fetch the data segment-wise and again to fill some missing values with some random values. For drawing some statistical inferences, we can not use it, Then we again load the data in SAS EG, R Studio, etc.