Microsoft Azure Reviews: 4.3/5 — Solid Choice

Quick setup of the kubernetes cluster on Azure. Microservices management and high reliability.

The solution configures the Kubernetes cluster as a VM. Therefore it is an IaaS and not PaaS infrastructure.

Our On-Prem microservices have been configured on Azure without the installation of Rancher 2 for cluster management.

Azure stack is in house dtatacenter that has Azure cloud features and is constantly connected to public Azure and ready for expansion, this gives you time to expand your data center at your own pase and use public cloud for dynamic demands.

One problem is that when you install Azure stack on to your data center, you can only support 16 nodes of servers beyond which nodes cannot be expanded. Here nodes means physical servers. This is Microsoft limitation on Azure stack and this creates serious problems for big companies which wants to expand on data center seamlessly.

Azure stack is hybrid cloud, so distributed applications can reside both on premises and in public cloud and still abide by local region laws for data protection. You can decide for example that the application sensitive user data resides on premises and can be sure there won't be any compromises latter and other application data can reside in cheap cloud storages.

Easy to set up, good pricing. A good feature set of capabilities as well.

Support has not been that helpful, though they do try. I don't like that we can't have windows nodes and that we can't have nodes different sizes.

Scaling through microservices in Kubernetes instead of multiple VMs has saved us a lot of money.

Azure database for PostgreSQL provides us well managed services. It is used for development. It is very flexible software and have ability to increase and decrease the performance software without taking much brain storming on it. It store the data is structural format.

Sometimes it is difficult to handle record in PostgreSQL. Because many of the developers are unknown with it.

I have also used the same for developing e commerce websites to allow the owner to sell their products online

It has Microsoft compatibility built in

It doesn’t have any of the built in app features of other cloud services

I have used this to hold data for dashboards I created

Pretty easy to use, has lot of features and merges really well into existing infrastructure.

Its good but definitely missing robustness and features we see in Docket or Kubernetes

Implementing container services. Its available as a service so thats the biggest benefit

It helps us with deploy and managing microservices, it supports multiple programming languages

A bit slow, it's a bit immature. finding documentation is a bit difficult

Manage micro-services (Build, Deploy, test etc )

The built in reliability and flexible scaling it offers.

The cost of the service is quite expensive comaritively speaking.

Saving data via memory instead of disk. Much more cost effective in the long term.

Overall would give Azure Virtual Machines an average rating. Nothing special here and will definitely be upgrading in the next few months.

Overall interference can be hard to navigate and is not super user friendly.

server visualization

convenient way to combine multiple different tools to be used as one

could be more user friendly to improve quality

benefits users by creating effective solutions to combine ideas and collaborate with others in your work environment

I think the azure clod provides a convenient cloud based platform which can be used to store you data without the hassle of installation. It also helps multiple development teams to work on the same dataset thereby syncing the development process.

I think Microsoft azure don't have that much limitations that i dislike it but I think the speed can be improved. Apart from that, the pricing is also an issue as users can get cheaper service from other companies like amazon.

I was building a database to store the meta information and download information about the RNA-Sequencing datasets related to placenta tissue. The one benefit which I mentioned before is that it helped us (teams at different places) to work on the same dataset thereby syncing the development process.

Its great that they have hooks to azure blob storage

Its an overly obnoxious windows product that asks for confirmations on every upload. Really wish they had an easy FTP mode like WinSCP...

I use it as a simple way to upload to blob and it works well for that, but it is still a lot more clicks than I would like.

I actually used Azure virtual machines to run large Excel files that were crashing my local machine. It was great!

The service tiers are designed primarily around server-related tasks, so for my own purposes, I could never find quite the right tier to provision.

Excel files were crashing my local machine, so I needed a better way to execute my formulas.

Great interface to control your servers and VMs. Can integrate into a lot of services, easily spin up and then deallocate servers.

Price, having a decent speced machine up full time is expensive. Azure database pricing is not affordable for small businesses to scale.

Running a cloud service based on desktop applications. being able to allocate and deallocate servers as needed has been critical.

Easy, setup by cli, persistence available (unlike aws solution), works "out of the box" with redis-cli and different redis api

Still didn't figure out how to add monitoring to it

Shared session cache between different process (behind a load balancer) Cache for various cloud api calls

You can go from nothing to having a SQL Server instance in less than 30 minutes. You can also expand or contract that instance as you wish thereby increasing performance or decreasing cost.

It does take a fair bit of effort to get started even if you only want to spin up a server. The pricing is confusing and the performance capabilities at each level do not make much sense. Changing performance levels is slow.

I needed a database to manage 120 GB of data and needed flexibility to managed the performance of the server. Azure gave me exactly that and did it in less than 30 minutes. It simply eliminated a problem that I faced and allowed me to focus on analysis rather than data storage and processing.

The most helpful thing about Azure SQL Database is its deployment convenience. You can set up a database in no time—all you have to do is create a database and add a few tables. This is especially useful if you need to get a project up and running as quickly as possible or to test something out before investing too much time. And if you want to change your data around later on? No problem! Just adjust the tables and you're good to go. Azure SQL Database also has some great features for security and reliability. You can use the Transparent Data Encryption feature to protect sensitive data by encrypting it; this ensures that any unauthorized parties can't access the information stored on your servers, even if they somehow manage to break into them. The AlwaysOn Availability Groups feature also gives you peace of mind: it ensures your data will remain safe even if one server goes down due to hardware failure or other issues like that.

I dislike about Azure SQL Database Azure SQL Database is very easy to work with, but it does have its limitations. It is not a relational database, so you aren't able to do anything that requires joins or other complex queries. You also don't have any control over the schema of your database, and it isn't possible to create tables that don't exist in your data source. You can use all of the same functions and procedures as you would with SQL Server on-premise, but they won't be executed until your application actually runs. This means that if you run an UPDATE statement, it will not actually update until someone runs it against the database again. The biggest limitation of Azure SQL Database is probably its inability to support transactions across multiple databases. This means that if you're running multiple databases in one instance (for example), it's not possible for them all to participate in a transaction at once. However, there are ways around this by using triggers or stored procedures (which are not supported by Azure).

Azure SQL Database is an ideal solution for businesses looking to simplify the management and scaling of their data. It provides a scalable, fully managed relational database in the cloud that can be used across multiple platforms and devices. With Azure SQL Database, you don't have to worry about managing your own hardware or software infrastructure. You can focus on getting your application built, tested, and deployed with confidence—knowing that your database will scale up or down automatically as needed to match the demand from users. You also get built-in security features such as row-level security, auditing, and single sign-on (SSO) capabilities. This means you can easily control access to specific rows in your database tables by using rules based on user identity or other factors like time of day or IP address range. Azure SQL Database also offers built-in backup and restore capabilities so you don't have to maintain backups yourself—you can simply restore those backups whenever necessary.

Security, Scalability of it, economical. And its availability.

Data transfer fees. pricing model. complicated management of it.

The security framework of Azure is very strong and it is that which has benefitted us with our projects.

- PowerShell, Managed K8S, Windows Native compute

Native integration with Nix like shell, and a cloud shell option.

Office 365 integration with Active directory for seamless IAM implementation.

I like to use AI + Machine Learning-based services such as Computer Vision, Azure ML and Cognitive Services APIs. They are easy to integrate and are cost-effective

The accuracy or performance metrics of some AI-based services are not satisfactory compared to other Cloud services. For example STT, Speech Translation. Need to improvise

Azure is trying to create services out of common real issues such as Anomaly Detector which is almost essential for services or products that are facing real-time streaming data

Easy to work. It is very user friendly and easy to learn.

Nothing yet. I would have to explore other services before saying anything.

it is providing cloud services and we really need easy server building methods. I am not benifitting financially yet.

Azure is useful for creating vm easily with necessary configuration

Azure's Ui is not good as AWS. It's sometimes difficult to find some terms.

Deployment with multiple type of languages like react , node js , Java python with VM.

The ease of setup and use is great - you can have a SQL server and database setup and running in Azure within 5 minutes.

At the lower price points, the performance can be pretty bad. Using the DTU pricing models, which is all that's available at the lower ranges, the throughput is poor and your database will stop operating once you hit the DTU threshold. There's no warning, connections and transactions just fail. The storage capacity to compute capacity balance at the lower price points is wrong.

We use it to run our platform backend.

Cloud flexibility with API and seamless integration of existing cloud software.

Nothing really. Perhaps the logo.very functional as an app

Cloud computing, mobile computing, enterprise computing

Login capabilities amongst different programs that allows for SSO.

I can't think of anything that I dislike.

Connecting smartsheet with Microsoft login

Good architecture for most scenario, frequent use cases.

Stability, clustering. Ability to manage RBAC access.

Deploy microservices infrastructure for my customer.

Overall its easy to setup and run virtual machines within the azure platform. You get instant access to additional azure platform services that you can integrate.

Overall azure pricing can be a tad bit costly, I did try development using the azure platform but in the end I treated the VM as just any old vm service's server.

I used azure for development environments for testing out customer products and code before shipping them out.

What I like best is that its container orchestration solution that best suits my needs.

The only thing I dislike is the possible privacy issues since it is a public cloud without having provision to manage.

It is most helpful because it is cloud based for companies and manages a service on its own.

I like that PostgreSQL is a lot more manageable and more efficient for big projects

I dislike that there is no real-time database like how there is with firebase.

We’re solving the use of manageability with Azure.

The software doesnt cost a lot.

The software is difficult for beginners.

My colleauges are using it