Microsoft Azure SQL Database Reviews

We're using it for scalability. Everything is on Azure SQL for us. It is an enterprise application data warehouse, so all our applications are on this. It is useful for entire data warehousing. It is also good for microservices applications. We have its latest version.

It is good for scalability and high availability. It is also secure because of Microsoft's cloud investment.

It is easy to use because it is on the cloud. Creation or making it available through web services is super easy. Azure SQL can be quickly published as web services for APIs to connect with other applications. Because it is in Microsoft Cloud, you can easily integrate with Microsoft stack.

Its price could be better. It is expensive.

I am not sure if Microsoft Master Data Services is included in this. If not, Master Data Services can be integrated with Azure SQL. I have only used Master Data Services on-premises.

I have been using this solution for four years.

It is stable. Microsoft has been in the market for quite some time.

It is quite scalable. It is a good choice for any kind of application database, data warehousing, or data lake. 

In terms of the number of users, it is being used by all users in our enterprise. For development, we have four to five developers, and we also have partners to help us.

Technical support is managed by Microsoft partners, which is good.

We have used Microsoft SQL Server on-premises. We are still using it, and slowly, we'll move to Azure SQL.

You don't have to install it because it is on the cloud.

It is expensive. Snowflake and PostgreSQL are cheaper than this. Google is also cheaper than Azure. 

Its licensing is on a pay-as-you-go basis. It is based on usage and storage.

I would recommend this solution. If anybody is using Azure Cloud, they should definitely use Azure SQL. Our strategy is to have all our applications on Azure, and we will keep using this solution. We will also be using it for our analytical data mart.

I would rate SQL Azure a nine out of ten. It is a good product, and it has all the required features.

We use SQL Azure for what we call an inspection round. Inspection rounds are mainly used by an inspector in the field to check the compliance of the equipment, like if a given machine doesn't have enough instrumentation. 

In any kind of plant, there is an inventory of assets. Most companies have an inspector who goes to the field to check the condition and record some indicators. The results of the inspection are recorded in our software. All the data from the inspection round is stored in our database in Azure. That is what we use the Azure database for.

We created a custom PaaS. It's not a pre-built device in the cloud. Azure components like SQL Azure and a web server are combined to create this solution. Our SQL performs better in that space than a readymade device.

The most valuable aspect of SQL Azure is the SQL language itself. It's open and everybody can use it at my company. Also, we thought in the beginning that the response time would be inadequate, but it's actually decent. It's much better than expected. Then again, I'm not a programmer, but that's what I hear from our development team. 

There are some characteristics called "joins," like "inner join," "full join," "left join," "right join," etc. It's a little confusing for some coders. I think that could be simplified. 

I'm in the analytic space, so I would introduce a higher level of coding using artificial intelligence. SQL is quite close to English. They could add a voice interface where you speak into it, and the machine writes the code for you. My weakness in coding requires something automated, so I can be more proactive. 

They should also simplify the security in Azure. We are using the cloud as a platform, so there is no physical infrastructure. We're using Azure components like databases and servers to create an application. Integrating those components in terms of permissions and security is challenging for us. Maybe there is a lack of knowledge on our side, but it's not straightforward. 

The data modeling is not good for me. There are better tools than SQL Azure when you need to create the abstract part of the database design. It's weak. It's not user-friendly, and the notation is specific to Microsoft. I believe we use a third-party tool for data modeling because it's easier to use. Communicating with that tool is easier than SQL Azure. The model is nicer.

I have been using SQL Azure for about five or six years. We started using the solution for one of our clients, a mining company, more than five years ago. They were the first customers to use our solution.

We don't have any issues with stability. The primary issues in the cloud are privileges, security, and integration between applications. That is a total mess for us. When we need to get the application servers access to the Azure database. 

SQL Azure is scalable.

I only contacted Azure support once, and it was decent. We asked some questions, and they replied. I cannot it say was great or awful. They met our expectations. 

Setting up SQL Azure is easy. Even I can do it. 

We pay around $1,200 per year for one customer based on what they currently use. It's mainly processing and storage. SQL Azure is a bit more expensive than other solutions. There are free databases, but they don't have the scalability of the Azure cloud. It might not be affordable for some companies, but it's highly scalable.

I rate SQL Azure eight out of 10. I would recommend it to others depending on their needs. It might be beyond the budget of some companies.

Generally, what I like about Azure as a cloud is the analytics you can apply on top of that data. Azure provides a number of high-performing solutions for data science and analytics. The main issue is that you need to build the architecture to create a product that provides value for your customers.

It's about imagination and creativity, and most of the tools are there. In my case, ease of use matters because I lack the knowledge to explore more, but our development team could do that easily. 

SQL Azure is used for the replication of a CRM database. if get information from this database and try to replicate it on other servers and other systems. I'm getting the transactional data information.

The most valuable feature of SQL Azure is centralized authentication because I'm using the domain, user name, and password, for Microsoft 365 account with multifactor authentication and the security has been working well.

I was using a user list for connecting a program in OTF for getting information. The connection in SQL Azure can improve by being easier because at the moment I have to use private certificates for user authentication. I had to do additional configuration to have the connections.

I have been using SQL Azure for approximately six months.

SQL Azure is stable, I have not had any issues.

The scalability of SQL Azure is easy to do.

We have a lot of people in my organization using this solution. We have a large company.

I have not used support.

The initial setup of SQL Azure is difficult and complex. I have to use a lot of certificates, private keys, and public keys to establish a connection.

SQL Azure is a really good tool. I recommend using this solution instead of a normal SQL server, its an improvement,

I rate SQL Azure a nine out of ten.

We are deploying a few server-based applications, and we are using the Azure SQL database.

It provides good analytics. We can see which database is getting more requests, etc. We are able to see everything in Azure SQL. Its analytics are in a readable format, so a layman can understand them.

Its performance is good. It has a lot of features. It has the backup feature, which is not there in Amazon RDS. In Azure SQL, there is an option to replicate and restore a database point to point, whereas we can't do that with Amazon RDS.

It is also simpler and more powerful than Amazon RDS. It also has analytics, and it automatically suggests a few things. It has an in-built indexing function.

In terms of support, they don't give much support.

I have been using this solution for four to five years.

There are more than 12,000 people using this service. Its usage is going to increase day by day.

They don't give much support, but their tech support subscription cost is much lesser than AWS.

Its installation is very easy. We can easily move from one pool to another pool in Azure. It takes just one to two minutes.

We take care of it ourselves.

It only has a subscription-based license.

I would recommend this solution to others. I would rate it a ten out of ten.

We use it also for database management, as a database engine.

We use it for different projects - mainly when we have lots of data and the customer can't afford to pay the license for SQL Server, which is not cheap. That's the main reason we use MySQL or Postgres or other databases. 

The management and the remote access in SQL Azure are seamless.

The solution is extremely scalable.

We've found the stability to be quite good.

It's the type of product that doesn't need much technical support assistance as it works seamlessly.

Some data types are not available on SQL Azure while it's available on SQL Server. It's a little bit limited in terms of functionality. The difference is not huge. You can go back and forth between them. We used to do this all the time. However, it is something to note.

Maybe they need to add the data types that exist in SQL Server, not in SQL Azure. That would make it better.

The pricing can be high in certain countries as Microsoft doesn't adjust for regional pricing. 

The solution is stable and reliable. There are no bugs or glitches. It doesn't crash or freeze. The performance is good.

The product is on the cloud. It's very scalable for that reason. If a company needs to expand it, it can do so.

Most of the time no one needs support on SQL products or services. That said, the support in Azure is amazing. We never encountered an issue that they didn't solve. This speaks to the quality of Azure.

We also use SQL Server. The main difference is SQL Server is a full-featured database engine, whereas MySQL is based on what we call a file-based database, which is similar to flat files as a database engine.

The recommendation of which to use is based on the use case. It depends on what use case the customer will need. If they don't have the capacity to manage their own server, I would recommend Azure, as it's managed. You don't have to worry about the management and administration.

The pricing is prevalent for everything Microsoft. The thing is, they don't allow different pricing for different regions. Some countries are price sensitive.

I'm an end-user.

I'd rate the solution at a nine out of ten.

We use this solution to store data MODS that are going to be consumed by Power BI.

The solution is quire more stable than other tools.

I would like to the solutions scalability to be improved.

I have used this solution for the past three years.

This is a stable solution in general.

It is moderately scalable in my opinion. On-premise, you can definitely scale it up better, but it is a bit restricted on the cloud.

We used Oracle Databases and SQL Server databases on-premise.

The initial setup was easy for about five hundred users and it required just a couple of managers.

Our consultants helped with the implementation and the process took maybe ten minutes.

I would recommend this solution for those who are looking to integrate it. I would rate this an eight out of ten.

Our core business is to make mathematical models for production and solutions. We don't develop or use software. The data comes with the Excel format stored in SQL and we write complex queries about the data and run it in our models. Our data is not sensitive and it's a matter of having a server for storage. I'm a software engineer.

SQL Azure is efficient and very easy to use. The programming facility is very good and the solution is great at solving problems. 

SQL Azure could offer a lot more services and applications. I'd also like to see some tools that we could use on the SQL Server for data virtualization. That would be an improvement. 

I've been using this solution for 10 years. 

We don't run critical data and haven't had any issues with the stability. 

We have a lot of experience and good programmers and IT administrators in the company, so we haven't needed customer support. 

Our implementation was straightforward and carried out internally. We have 10 users of this solution, the majority are in production and engineering, with a couple in software engineering. 

Our license is pay-as-you-go and we pay around €200 per month. You need to keep an eye on this because with scaling the cost can increase quite quickly. 

This solution is more expensive than some others, but not as expensive as Amazon, Google and Oracle, which all have a lot of extra costs involved. 

I recommend this solution and rate it 10 out of 10. 

I'm an end-user. I'm a business analyst, so I'm using SQL Azure to do analysis.

Emergency mode is quite useful.

I haven't explored SQL Azure's features much, but I would like to see some better integration with Python. 

I've been using SQL Azure for approximately two years.

SQL Azure is stable.

I think SQL Azure is scalable. Almost 200 people are using it in the commercial department.

I can't say much about Microsoft support because the IT people are the ones who deal with the Microsoft support team. Whenever we have an issue, we put our IT team on it and leave everything to them. They try to handle it if they can or they might bring in some consultants from the Microsoft team. 

I previously used Oracle, but I didn't spend much time with it, so I really can't say. I don't think Oracle has any capabilities that SQL Azure lacks, and it's not used in as many companies and institutions.

Setting up SQL Azure isn't complex.

I rate SQL Azure seven out of 10.