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Microsoft SQL Server - A complete package
Updated July 22, 2021

Microsoft SQL Server - A complete package

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Microsoft SQL Server

Microsoft SQL Server is being used by my whole organization by analysts and database administrators to maintain banking data including documents, statements, check images location pointers etc. It is able to store large banking information and can be managed easily at one place. Besides our client banks data, our company internal applications database is also stored and managed in it.
  • Data Storage and Manipulation
  • Highly Scalable
  • Easy Integration with a lot of framework including .NET
  • Lower prices
  • Better UI
  • Requires a lot of maintainence
  • No visualization of data
  • Security
  • Scalability
  • Banking data storage
  • Easy to manage/maintain the database with help of queries at one place
  • Able to scale well with new incoming clients
  • High pricing
  • No data visualization
Microsoft SQL Server is one of the fastest RDBMS systems available in the market. Pricing is a bit on the higher side but all the features it provides pretty much justifies it. It can be integrated with a large number of frameworks thus enabling to work on multiple frameworks for your application without much worrying about the backend support or compatibility.

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?

Yes

Would you buy Microsoft SQL Server again?

Yes

Well suited scenarios include:
1. Microsoft SQL Server is well suited when company needs to have high control over their data from creating, managing to maintaining.
2. Data needs to be highly structed and related to each other.
3. It can be integrated with a lot of frameworks.

Less appropriate scenarios include:
1. Pricing is very high and becomes difficult for smaller or mid-tier companies.
2. We are moving towards big data which is mostly unrelated and is very difficult for SQL to handle it.