What is most valuable?
Out of all the tools in the complete SQL Server package, I'm mainly using Toolbox and SQL Profiler because I'm using SSIS packets, so we're using job scheduling a lot. And sometimes we are creating the SSIS packages, so I'm using SQL Server for MSD for maintenance purposes. SQL Server is quite user-friendly. I have experience with Oracle and PostgreSQL, so out of three, I like SQL Server a lot.
What needs improvement?
They could increase the intelligence of SQL Server. That would be good for us. There are some good intelligent features in SQL Server. However, they need to increase the intelligence because people switching to SQL Server from other solutions are not so familiar with it. I've been working with SQL Server for the last six years, but people are coming from MySQL or Oracle, so it will take one or two months to adjust. Still, they could add some intelligent tools to convert Oracle into SQL Server something like that.
And sometimes when I'm writing a function, there is already a predefined structure available. So if they defined their structure more precisely, that would be good for us. And the last thing I would like to add is that SQL Server should handle queries more like Oracle does. For example, you submit a query in Oracle, and the whole table comes up. In SQL Server, you go to the table, right-click, and it lets you see the first 200 rows. Then on top of that, you can add 200 more rows.
So in place of those 200 rows, if I can update all my table records or search my table record without a new search query, it'll be very beneficial. That functionality exists in Oracle, but this feature is not available everywhere in SQL Server. So if SQL Server had the feature, it'd be great because SQL Server is lacking only on this point. For example, one of my clients is a semi-technical person, so I have to train them to file a query in SQL. And they say that Oracle is much better. Say, for example, that I wanted to query a particular employee from a list of all staff. So the query output comes, and they can directly filter out the data by just applying the filter. They don't have to use the drop-down menu and search for all the employees with a given name.
For how long have I used the solution?
I've been using SQL Server for the last six years. I'm working with SSIS, SSRS, or MDS. These tools are part of SQL Server, and the back-end queries are developed in SQL Server.
What do I think about the stability of the solution?
SQL Server is stable. SQL Server has crashed only two times in six years, but it wasn't a major system error.
What do I think about the scalability of the solution?
It may be a licensing issue, but sometimes its operating speed becomes slow if we have multiple users. It's lacking some performance, but it's acceptable because we have a heavy load. And I would like to add that we're running SQL Server and SSIS at the same time. So while I've found that SQL Server is quite fast, SSIS is a part of SQL Server. It is just for data testing in India. But if a person knows SSIS, then they usually have very little knowledge about SQL and vice versa.
I know both of them. I found that maybe it's a bad habit, but I'm using SSIS packages. And in the SSIS package, I'm using Toolbox from SQL Server to improve the latency. Implementing both together takes a little time. And one more point is data handling. I am just forwarding the error names, and there are multiple errors in the SQL Server tool, but what if a person comes to work under me and has only one or two years of experience? Sometimes it might be difficult for them to understand what the errors mean. For example, when joining data, it's easy to implement the inner joint. In the inner joint, there are two columns, so when there's an output error, someone who is inexperienced with SQL Server might not understand. Error messages should be a little more precise and defined, so it's easy to understand.
How was the initial setup?
Setting up an individual SQL Server is pretty straightforward, but when you are implementing multiple tools, it's more complicated. In terms of maintenance, for the DBA part, there are two based in my company because I am on a master device, so they don't allow me to maintain the server part. So one person is from South Korea, and the other is from China. They are handling my SQL Server. So maybe there are multiple teams, but I am contacting these two guys, the DBA. And I'm MDS, so I'm a single person. There are two people on my team, and I have one junior staff member. So I have a three-person team, and there are two DBA sites because I'm discussing my master team. I am deployed on the business side, and there are more than 80 people who are end-users of SQL.
Which other solutions did I evaluate?
If you're using SQL Server along with SSIS and SSRS tools, it works pretty smoothly and all. When working with Oracle SQL, PostgreSQL, MySQL, etc, there are a few problems with the connection.
Overall, SQL Server is good, but sometimes, optimization becomes a little bit tricky when you're using SQL Servers in place of Oracle. For example, while I was implementing two queries one time, the SQL Server gave me the wrong results. This wasn't because of their internal modules. So there may have been some missing data, but SQL Server failed to identify those issues. SQL Server needs to improve there.
For example, say there is a line with a value of 136 or 137. The second value is a space, and the third value is null. And the last one is space. So a space means this is also null. So you are comparing these four values, and if you don't have any idea about data, it's a little problematic. So cases like this, we can deal with such queries using syntax, but if a person has no idea how to deal with this, they'll face an issue.
Here's another example. Say there's a team query that means we are erasing data from the teams, and some people are just analyzing the string. So I see data from it, which means the calling system is there. In the calling system, we receive the data to call anyone, and that type of wire call setup is there. So I am receiving a full-text format from the file I have to upload in the SSIS package. And some cells have a null value. It's a text file, so you can understand there are blanks in some places. I don't know the file type, so I am just trying to dump it into our SQL Server. But when I have time to get to that table, I realize that some values are null, space, and blank. So these four values make problems for me.
What other advice do I have?
I rate SQL Server nine out of 10. I would recommend SQL Server to anyone because you can use cloud-based services, so it's very beneficial. If you install SQL Server on-premise and on the Azure cloud, it is much more advantageous for you.
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.