Microsoft Azure Cosmos DB Reviews

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.

I use the product for storing information related to our automation.

The product is simple to use. It is a NoSQL database. It is easy to commission the environment and use it.

It is not as easy to use as DynamoDB. The product always shows JSON-based documents. However, DynamoDB shows a table-based document. The documentation must be improved.

I used the solution a couple of months ago.

The tool’s stability is very good. I rate the stability a ten out of ten.

The tool is highly scalable. I rate the scalability a ten out of ten. We have more than 1000 users.

I used DynamoDB in my previous organization.

The initial setup is easy. The deployment could be completed within minutes.

The tool is not expensive. It is good for small use cases.

Cosmos DB is a good option if someone is looking for a NoSQL database. Overall, I rate the product a nine out of ten.

I was using Microsoft Azure Cosmos DB to correct some performance issues or see more about my environment.

The most valuable features of Microsoft Azure Cosmos DB were the general infrastructure, ease to use, and interface.

I have been using Microsoft Azure Cosmos DB for approximately three years.

The stability of Microsoft Azure Cosmos DB was good. I did not experience any bugs or glitches.

Microsoft Azure Cosmos DB is scalable.

During the time I was using Microsoft Azure Cosmos DB I did not use the support.

Microsoft Azure Cosmos DB was relatively easy to set up.

The price of Microsoft Azure Cosmos DB could be a bit lower.

I would recommend this solution to others.

I rate Microsoft Azure Cosmos DB a nine out of ten.

Cosmos DB is a non-relational, NoSQL database. We are a solution provider and we implement this product for our clients. It is used for integrating and managing unstructured data such as videos, pictures, and other big objects that you cannot include in a standard database tablet. It is made for these kinds of activities.

Some of our customers include banks, where together with their main relational database, it provides a place for keeping track of unstructured data. The relational database is used to store the regular data, whereas Cosmos DB stores what is unstructured.

I also use this product for my own purposes.

Cosmos DB is stable and easy to use.

Better documentation on how to integrate with other components would be helpful because I was struggling with this. For example, I had trouble finding information on how to integrate with other Microsoft components. Also, consider a situation where you want to use Cosmos DB to manage the uploading of data to your website. Information on how to do things like this should be readily available.

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

Cloud-based solutions like Cosmos DB are quite stable.

This is a scalable product. When I originally used it on the cloud, Microsoft Azure, I tried changing a lot of things such as increasing the memory to see how it performed. The response was quite good. 

Technical support is good and they are responsive.

Prior to Cosmos DB, was using MySQL, but it isn't a non-relational database.

The initial setup is straightforward. It was complete in about five minutes.

I deployed it myself.

There is a licensing fee.

This is a good product and I recommend it, especially in cases where people want to keep their information outside of the organization and on the cloud.

I would rate this solution a nine out of ten.

We are strict users of Microsoft. We use it to deal with huge amounts of data. It's like Databricks and it's structured. All of the sites we have are stored in Cosmos DB.

The solution's enhanced performance is its most valuable aspect.

The product is very stable.

We've found the solution to be scalable.

The solution is extremely user-friendly and easy to navigate.

The initial setup is quick and easy.

I cannot recall finding any missing features. Everything we need is pretty much there.

It would be ideal if we could integrate Cosmos DB with our Databricks. At this point, that's not possible.

I've used the solution for one year at this point.

The solution is stable. There are no bugs or glitches. It doesn't crash or freeze. It's quite reliable.

The scalability of the solution is very good. If a company wants to expand it, it can.

Currently, we have about 80 users on the solution within our company.

We've had a year of support and they've always been very good. They are helpful and responsive. We're satisfied with the level of support we receive when we need to contact them.

We've always used Microsoft. Previously, we just used a different deployment for Microsoft.

The installation is not complex. It's very straightforward and very easy. It hardly takes more than a few minutes to deploy the product. Everything happens very fast.

I handled the implementation myself. I did not need to hire a consultant or implementor to assist the company during the implementation process.

I am using the latest version of the solution.

Overall, I would rate the solution at an eight out of ten. I have always been very happy with its capabilities.

I would recommend the solution to other organizations.

We have a lot of use cases like for the web API backend where we have most of the processing jobs. It supports mobile, browser, and tablet. We have a single face application that interacts with the users and customers. It's backend and frontend architecture. For middleware, we use Kafka integration. We have PowerBI for reporting. 

I like the scalability. There aren't any constraints for posting in the geolocation. I also like the SQL architecture. 

The query is a little complex. SQL server should have more options. But the query should be better. 

The setup takes a bit of time but once it's done, it goes well. Backend developers need a bit of time to do the setup. 

I have been using DocumentDB for a little over a year. You can use the libraries that are available in the framework and connect to DocumentDB for your operation. 

It is stable but since we have multiple locations, if one point goes down, we can access another location easily. Most of the effort goes into the script and we use keywords to secure the accessibility and then we set up the encryption. Configuration takes time. We do it without self-script. If you do it manually, it is quite difficult but script does it in a better manner. 

We use our own documentation as our resource. Azure doesn't have many problems that we need to contact support except for developers who struggle to learn about SQL. They need training and to read up on the literature. 

We are satisfied with their support. 

It takes time to set up and understand. Since Azure has its own table, it's not so flexible. 

Before implementing, know now how to use DocumentDB. Understand your use case. From an architecture perspective, we have a use case where we wanted to use more SQ and we used DocumentDB as the first consideration. There isn't a better SQL than DocumentDB available. Cloud provides this type of platform.

The automatic performance is also very good. We did research on the internet and decided to go with DocumentDB. 

I would rate it an eight out of ten. Not a ten because there is what to be done for improvement. In the future, it should be simplified for developers so that it's not a hassle for them. There aren't many resources for SQL and DocumentDB. It may take time for more documentation to come out. 

In our accounting department, we store data in Azure Cosmos DB. We query and store IO-based data there.

I'm still in the process of exploring all the features. We're continuously adding and releasing data, so there are several apps that have been useful to me.

Since we're working in the cloud, it's not easy to incorporate all the features it supports. There is room for improvement in terms of integration with other vendors.

I have been using the solution for about a year.

Cosmos DB is a pretty stable solution. I would rate it a ten out of ten. 

The solution is pretty scalable. I would rate the scalability a ten out of ten.

If I had to rate it based on my initial usage, I would rate it around a seven.

The setup was done by the team. They followed a set of instructions and it was pretty straightforward. 

I would recommend understanding the underlying databases like Cosmos DB, but I don't think it supports Oracle. However, it does support various other databases. If it supports the databases you need, then go for it. If it doesn't support them, there's not much you can do.

Overall, I would rate the solution an eight out of ten. I'm not giving it a higher rating because it doesn't support all databases.

Our primary use case for this solution is to call confirmation details booked in Cosmos DB.

New features can be included and its stability can be further improved.

We have been using the solution for approximately five years.

The solution is stable.

The solution is scalable, and we intend to increase our usage.

I rate customer service and support a ten out of ten.

Positive

The initial setup is straightforward and can be done in a couple of hours.

We deploy and maintain the solution in-house.

I rate the solution a nine out of ten.

We use Microsoft Azure Cosmos DB for storing information from third-party systems in JSON format.

The product's most valuable feature is its ability to store documents and assets. You can execute a query over all the documents. It works reasonably fast. You can retain the original format of the document as received by the third-party system.

Microsoft Azure Cosmos DB's performance could be better. In large volumes of documents, the querying process becomes slow and complicated. It could be faster.

We have been using Microsoft Azure Cosmos DB for three years.

We have enterprise businesses as our customers for Microsoft Azure Cosmos DB.

The technical support services are good.

Positive

It is an easy-to-set-up and maintain product. The installation process involves integrating it into the pipeline. It takes a few minutes to an hour and requires five executives to implement it.

I rate Microsoft Azure Cosmos DB an eight out of ten. It is useful to store original data in original format.