Microsoft Azure Cosmos DB Reviews

We use Microsoft Azure Cosmos DB for faster databases.

The most valuable feature of the solution is that it is scalable with multiple master files. The performance of the solution is also good.

Microsoft Azure Cosmos DB's pricing model is complicated, which people don't understand. So, the pricing model should be improved.

I have been using Microsoft Azure Cosmos DB for five years.

Microsoft Azure Cosmos DB is a stable solution.

Microsoft Azure Cosmos DB is a highly scalable solution, and 15 to 20 people use the solution in my organization.

I rate Microsoft Azure Cosmos DB’s technical support an eight out of ten. They do take some time to get to the root of a problem.

Positive

The initial setup is straightforward and needs a few tools to upload.

We have had an ROI with the solution.

The pricing model of Microsoft Azure Cosmos DB is a bit complex.

We are using Microsoft Azure Cosmos DB as a cloud-based solution. Two admins and one manager are required for the deployment and maintenance of the solution.

New users must keep an eye on its pricing models and configure them properly.

Overall, I rate Microsoft Azure Cosmos DB an eight out of ten.

We use different Azure services in the development of our solutions. Some of the services we use are Azure Cognitive Services, ADB2C, and SignalR.

For most of the solutions, we use a mixture of Azure SQL Database and Cosmos DB. We use Cosmos DB when the data size is huge, and we need to scale.

Currently, only two people in my organization are working on this solution: one developer and myself. In the future, I think once the system gets deployed, we will have thousands of users. 

Cosmos DB solves certain problems that relational databases cannot handle. It's a multimodal NoSQL database, and it's very scalable. One of the nice features is the ability to auto-scale, plus Cosmos DB's API is easy to use. 

I hope they improve the service. Before last year, improvements on Cosmos DB were very slow. I didn't see many changes in the functionality.

I have been using this solution for four years.

I would rate the stability as nine out of ten.

It's very scalable and fast.

I had developer support with Microsoft Azure. I faced a problem a few years ago, and they helped me solve it.

Positive

It's very easy to set up Cosmos DB. First, you decide what type of API to use, like SQL, Graph, etc., or if you want support for MongoDB or Cassandra APIs. I usually use SQL API. Once you choose the type of API, you create an account and a database. Then you create containers, and you can easily write queries.

I believe there will be a return on investment because using cloud solutions will remove all capital expenses. Cosmos DB's auto-scaling options minimize the cost. Choosing "pay as you go" services cuts costs especially when users are not using the system.

I hope Microsoft lowers the cost further.

We evaluated MongoDB and Cassandra, 

I would rate this solution as eight out of ten.

The APIs are improving and are easy to use. It is easy to set up a new database, and the auto scalability and support for different models are good features.

I use Cosmos DB for geolocation identification.

If you pass by a market on the street, it sends me your location. My application will then send you a personalized notification about relevant products you can buy at the market.

The best feature is the velocity of making queries. 

I would like to see better documentation for this solution. 

The pricing of the solution should be reduced. 

I have been using Cosmos DB for one year. 

I would rate stability an eight out of ten. 

I would rate scalability a five out of ten. 

I would rate technical support a ten out of ten. 

The initial setup is straightforward. It's very easy to start a function or application with Azure. 

The solution is very expensive. 

I would overall rate the solution an eight out of ten.

We have a database stored on Microsoft Azure where we fetch records and validate them against the application data that is displayed. We use it as a backend in an application to store data.

Within our organization, there are around 500 people using this solution.

There's no specific feature of Cosmos. Basically, we try to query the database. Since it's unstructured data, all the related fields are stored as a single JSON. You don't have to go ahead and hit multiple tables, or multiple containers. Instead, you get all of those things, relationally, stored in a nested JSON — in one single container itself. This way, you don't have to go back and forth to different tables. There are pros and cons with this feature, but often it makes things easier for us.

I am impressed with the TTL (time to live feature) of Cosmos. If we need to perform a manual addition to a container, we just need to configure the time to live. And then based on that, it can be deleted.

We should have more freedom to tweak it and make our own queries for non-traditional use-cases.

I have been using Microsoft Azure Cosmos DB for roughly one year.

Cosmos should be more stable. Sometimes we fetch more than 60,000 records at a time. When we try to fetch large amounts of data, sometimes it breaks-down, requiring us to rescale it. Overall, performance-wise, it needs to be a little more stable. 

I personally haven't had contact with the technical support. Our solution architects deal with support. 

I wasn't involved in the initial setup. We have a DevOps team that was responsible for handling the installation. We are just leveraging it for developmental purposes.

Cosmos should be cheaper. We actually intend to stop using it in the near future because the price is too high — and because of the stability issues. 

Overall, on a scale from one to ten, I would give this solution a rating of seven. Aside from the scalability issues, we haven't experienced any other issues. 

I would recommend Cosmos. It made our lives a lot easier. There's not a big learning curve in order to understand the structure and how to use it. We were good to go with only one container. Anybody who is new can learn quickly.

Primarily, people do not have a clear understanding of the cloud and cloud services. Customers are a little bit scared about taking their data onto the cloud, and they think and they assume that it is not safe. So we just make them understand that databases or services on the cloud are more secure than on-premises infrastructure.

The performance point can be improved because when we run a search query on our on-premises machine and develop connectivity, a response comes in. But sometimes, the response gets delayed, and it can be due to network latency or something else we are yet to figure out.

Performance and high availability are two features I want to be added in the next release because that is the basic requirement of customers. Mostly, we have customers with the bank and banking institutions, and they want their databases perfectly integrated with the high availability feature.

I have been using Microsoft Azure Cosmos DB for less than a year.

It is a stable product. I would give it an eight out of ten. 

It is a quite scalable product. I give it a nine out of ten. There are more than ten users using this product. 

The initial setup was difficult. I would give it a six or seven out of ten.

The pricing depends on the budget allocated to the client; for some, it can be high, and for some not high. But mostly, when the prices are moderate, they are not very high. I would rate it a seven out of ten.

It's a highly scalable, highly robust, and very user-friendly solution. It is easy to set up; the most important point is that it is on a cloud. The solution is also very easy to deploy. Only some connectivity features need to be developed.

I give it an eight out of ten.

We use the product to input data that doesn't require structuring. 

Microsoft Azure Cosmos DB's most valuable feature is latency. 

The tool's pricing is expensive. 

I have been using the product since November 2021. 

Microsoft Azure Cosmos DB is stable. 

The product is scalable. My company has eight users. 

Microsoft Azure Cosmos DB's tech support is okay. 

Microsoft Azure Cosmos DB's deployment is straightforward. 

Microsoft Azure Cosmos DB's licensing costs are monthly. 

I rate the tool a nine out of ten. 

I use Microsoft Azure Cosmos DB for some web applications.

The most valuable feature of the solution is that it makes it easy for users to access web applications like Visio while not being complex like AWS at the same time.

The pricing of the solution is an area with certain shortcomings. From an improvement perspective, I wish for the solution to offer users an increased storage capacity at a cheaper price.

I have been using Microsoft Azure Cosmos DB for a few months.

I rate the solution's stability eight to nine out of ten. The solution's stability is good.

It is a scalable solution.

There are almost 1,000 users of the solution in my institution.

The solution is deployed on the cloud.

I think that there was a third-party involvement required during the solution's deployment phase.

Right now, I have opted for the student subscription plan, for which Microsoft charges me around 100 USD. The pricing of the solution depends on the solution's usage.

I recommend the solution to those who plan to use it. It is a cloud-based solution that is easy to deploy, easy to access, and provides users with more features compared to other clouds like AWS and GCP.

I rate the overall solution a nine out of ten.

We normally use Cosmos DB for data storage.

There are a lot of security features that can be integrated with Cosmos DB. The solution is easy to use, and it is also easy to integrate with several things for database use cases.

I would like the speed of transferring data to be improved.

I’ve been using it for two to three years, and I’m working on the latest version.

The solution is stable.

The solution is very scalable. We have more than 1,000 users in our company.

The initial setup is straightforward. We deploy Cosmos DB once or twice a quarter. We have three or four teams handling deployment and maintenance, which is about 38 members.

We implement the solution in-house.

We are receiving an ROI with this solution.

Cost isn’t a big hurdle for us right now. The solution is not costly.

I recommend Microsoft Azure Cosmos DB to anyone who wants to use it. If you are using Azure Stack, it is a good solution to use