Microsoft Azure Cosmos DB Reviews

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.

We mostly use it for NoSQL use cases. We use it for web applications, mobile applications, and social applications in the financial sector.

It is deployed on-premises and on the cloud, and we are using its latest version but not the one in the public review.

Its wide support to the ecosystem is valuable. We can use this database with a lot of use cases, and that's one of the reasons why we prefer it. We have a lot of vendors, databases, and use cases, and wherever possible, we are trying to standardize databases. It is also secure.

At this stage, we would like more enterprise support. We use MongoDB a lot, and we're trying to get rid of MongoDB. So, I would like to see more features in the Cosmos DB API for MongoDB space.

I have been using this solution for almost two years.

It is stable. It has 99.999% availability, and it is backed by SLAs.

We have thousands of users.

We use the cloud version and the on-prem version. We have our on-prem database engineering team. For the cloud, we are okay with their support.

We use MongoDB a lot, and we're trying to get rid of MongoDB.

It is easy to install. I tried it in a testing environment, and it was easy. Database experts should be able to do it easily.

For the cloud, we don't pay for the license, but for the on-prem versions, we do pay.

I would rate Microsoft Azure Cosmos DB a nine out of 10.

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. 

We provide automated solutions to manufacturing plants. 

The solution is user friendly and Microsoft's technical support is good. 

In Microsoft manufacturing, managers really need to know about the product. This market is flooded by other vendors. So putting Microsoft in action in such places looks challenging.

I have been using Microsoft Azure Cosmos DB for four months. 

Microsoft Cosmos is stable. 

It is a scalable solution and twelve hundred users are using the solution. 

The entire POC process and Microsoft's entire page were really smooth. There are no hiccups at all, and the kind of documentation support has really helped to build a competitive customer, so that is good enough.

I rate the overall solution an eight out of ten. 

The technical support team is good. 

Positive

The initial setup is straightforward. Two developers and one architect were enough for the deployment. The maintenance is easy. 

Microsoft provides fair pricing. 

If somebody is really looking to adopt a solution like this, this is the best option to go.

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 handle JSON data and it is compatible with Microsoft Azure Cosmos DB. 

I have found Microsoft Azure Cosmos DB different from other SQL databases like RDBMS. It is non-SQL and helps to manage and manipulate data from the coding, rather than direct data and complex queries. It is quite flexible and offers a complete concentration on the coding part only. Even if one lacks expertise in complex queries, JSON and Microsoft Azure Cosmos DB are quite compatible with each other and makes the database options more enhanced and easy to operate. The additional SQL features allow you to go to Azure's portal and get the queries solved. 

I have been a devoted Microsoft fan, but Redis DB's memory caching capabilities are really making progress. Even if Cosmos DB is continuously improving and is quite advanced in the field of internal memory optimization, I would still recommend Redis DB to a customer. My dilemma still lies in the price of both solutions. I believe if Redis DB is superior and pricier than Cosmos DB, customers will be reluctant to use Redis DB.  

Memory streaming and various optimizations contribute to higher costs but also increased speed. Currently, there's nothing specific I can pinpoint that needs to be added – I haven't made any purchases yet. However, I am inclined to recommend working with it. 

I have worked with Microsoft Azure Cosmos DB for one year.

It is a stable solution. I rate the stability a nine out of ten.

It is a scalable solution. I rate the scalability a nine out of ten. 

We haven’t faced any issues that would make us contact service support or raise tickets

Positive

The solution's initial setup is easy. The deployment took almost one day. We migrated the services from the CRM system, converted them into JSON, and deployed it. I would rate the initial setup an eight out of ten. 

If a customer needs to store JSON data, and the solution doesn't require complex structure and reporting like BI reports and RDBMS, opting for a NoSQL database could be ideal. NoSQL databases are suitable when data isn't structured in a relational manner and when extensive normalization isn't a priority. For efficiently handling JSON data for UI purposes or other needs, a NoSQL database like Cosmos DB is the way to go.

However, in the NoSQL landscape, various options like Redis DB, CouchDB, MongoDB, and Cosmos DB exist. If a preference leans towards Microsoft technologies, then Cosmos DB becomes a logical choice. Comparing Cosmos DB with alternatives like Redis DB is advisable before making a final decision. Thus, my typical recommendation involves considering these factors.

I would Cosmos DB a nine out of ten.

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 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.