Microsoft Azure SQL Database Reviews

We use Azure SQL serverless or with virtual machines.

Azure SQL is used mostly by my clients for ETL.

The most useful feature of Azure SQL is the queries for manipulating the data, such as the tables and the storage processors.

Azure SQL can improve by adding more machine learning features like other databases, such as Cassandra or Cosmos DB.

I have been using SQL Azure for approximately three years.

Azure SQL is a stable solution.

The scalability of Azure SQL is good. However, it is limited by the infrastructure. The cloud version gives more scalability.

The support from Azure SQL is good.

I rate the support from Azure SQL a four out of five.

The initial setup of Azure SQL is of a medium level of difficulty. We need some expertise in installing, configuring, and deploying Azure SQL.

We have approximately 20 to 30 specialists for the deployment of Azure SQL.

The price in general of Azure SQL could improve.

We have enterprises in Chile, Peru, Spain, Italy, and Colombia that provide IT services. We use this solution every day to maintain new projects and use the on-premise and cloud versions.

My advice to others is to review alternatives to Azure SQL. For example, SQL Serverless, SQL with a virtual machine, or Azure SQL Instances.

I rate Azure SQL a nine out of ten.

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.

I'm using SQL Azure mostly for database purposes, including data modeling, data architecture for business applications, and also for Data Lake.

What I like about SQL Azure is that it's similar to your on-premises SQL databases. It's not much different, so it's easy to start quickly on the solution if you know Microsoft SQL. I find its ease of use most valuable, and I also like that SQL Azure is also easily integrated with the Azure Cloud platform.

What would make SQL Azure better is users having the capability of managing the database solution from the cloud, instead of having to do it from an actual machine because currently, database management via SQL Azure is done on a virtual machine or a PC. The solution should have the data functionality of managing SQL databases inside the cloud.

I've been using SQL Azure for almost six years now.

SQL Azure is a stable solution.

SQL Azure is a scalable solution.

The technical support for SQL Azure is pretty good because it's from Microsoft. Based on the subscription you have, support would be included, and if you have a premium subscription with Microsoft, you can get all the support you need.

SQL Azure is easy to set up because it's already part of your cloud infrastructure. You don't need to do any installation.

Your return on investment from SQL Azure would depend on your business applications. The solution will give you more scalability, and more functionality, and would reduce costs from on-premises to cloud databases, so there are a lot of cost reductions. As SQL Azure is pay-per-use, you can control your cost, so in terms of the return on investment, it's more centrally managed in the cloud, which means you don't need so many data warehouses to be managed separately in the infrastructure. You can reduce your infrastructure costs through SQL Azure as Microsoft has taken care of the infrastructure costs.

In terms of the cost, SQL Azure is a pay-per-use solution, particularly because it's a cloud subscription, so you pay as much as you use it, but I cannot give a number because I don't manage the cost or the price for this solution.

My company is using the cloud version of SQL Azure, so it's always the latest version.

There are thousands of people using the solution for business applications. My client is a big company with at least one thousand users of SQL Azure.

In terms of maintaining the solution, it's already managed as a Microsoft-managed product, so in that sense, you don't need people to maintain SQL Azure, but for the application database, you need one person for maintenance.

My advice to others looking into implementing the product is that if you are building a solution on Microsoft Cloud, you should choose SQL Azure for your data warehouse, database for your application, and your enterprise Data Lake needs.

My rating for SQL Azure is nine out of ten.

My company is a service company, so it's a partner, a customer, and a reseller.

We are using this solution for analytics and business intelligence.

The solution is deployed on-prem and on cloud. The cloud provider is Microsoft.

There are tens of thousands of users. In my market in Poland, there are maybe 1,000 using the application based on the solution.

It's user-friendly. Compared to other solutions, it's based more on clicks, not on scripts. It's easy to manage.

There could be more collaboration with other tools like Data Factory and Databricks.

I have been using this solution for 20 years.

It's stable.

It's scalable, but it could be better.

I don't use support because the documentation is very good, and the solution is easy to manage.

In Azure, deployment takes minutes. It's easy.

The cost is around $2,000 per month.

I would rate this solution 8 out of 10.

My advice is to read the documentation and blogs.

We have a lot of stuff that is still on-prem, and we're only sticking our toe in the water with SQL Azure. For what we're doing, it is a simple database. We haven't yet put any of our harder stuff on Azure.

SQL Azure is in the cloud. So, it has to be the latest version. It is version agnostic.

The main advantage of it is that there is no infrastructure cost. We don't have to host it here. So, there is no infrastructure cost. 

The second advantage is elasticity. We can grow it or shrink it depending on the demand. We have no restraint on capacity.

There is probably more functionality in our on-prem SQL Server than SQL Azure. 

I have been using this solution for about two years.

It is stable, and there are no issues.

Its scalability is very good.

It was straightforward.

We have a third party for its deployment and maintenance.

We have the licensing fee, and we are also paying a third party to maintain it with an SLA.

There is no infrastructure cost, but its running costs are higher than expected. There is the cost of the Azure cloud, which is pricier than expected, but it is not specific to SQL Azure. It is specific to the cloud. You expect it to be cheaper, but it is more expensive to run it.

I would advise going for it and exploring it. We've only dipped our toes in the water. We haven't put any of our main things. We're just toying with a few new applications, and we haven't brought everything across, but I would recommend it.

I would rate it an eight 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.