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Azure Cosmos DB

Azure Cosmos DB

Overview

What is Azure Cosmos DB?

Microsoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.

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Recent Reviews

Azure Cosmos DB Review

8 out of 10
July 28, 2021
Incentivized
The Azure Cosmos DB is being used as part of our platform. It is being used to help the existing platform we have to scale with the amount …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

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  • Performance (7)
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  • Concurrency (7)
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Reviewer Pros & Cons

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Pricing

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What is Azure Cosmos DB?

Microsoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.

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Features

NoSQL Databases

NoSQL databases are designed to be used across large distrusted systems. They are notably much more scalable and much faster and handling very large data loads than traditional relational databases.

9.9
Avg 8.8
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Product Details

What is Azure Cosmos DB?

Microsoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.

Azure Cosmos DB Technical Details

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Reviews and Ratings

(40)

Attribute Ratings

Reviews

(1-7 of 7)
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AJ Tatum | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Because I like having the option to easily import and export the data using MongoDB Compass and other similar software, I primarily use Azure Cosmos DB for MongoDB. This allows me to avoid being locked into a particular vendor, and I also like that it can be run as a serverless solution, which allows me to manage costs and pay only for what I actually use.
  • Serverless Database
  • MongoDB management
  • Easy to work with SDKs for multiple programming languages
  • There are some areas where you can't leverage MongoDB within Azure.
Like any NoSQL database, whether it's MongoDB or not, it's best suited for unstructured data. It's also well suited for storing raw data before processing it and performing any type of ETL on the data.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
The Azure Cosmos DB is being used as part of our platform. It is being used to help the existing platform we have to scale with the amount of data that we are storing. The data stored in SQL servers did not scale for us. Reports and graphs generated from the data were slow. Azure Cosmos DB improved performance.
  • Global key distribution
  • Elasticity in scale
  • ANSI SQL support
  • Pure ACIDity support
If issues are occurring with Mongo DB, then using Azure Cosmos DB could be better in certain instances. However, I would not replace it completely over Cassandra or Redis. Through size in k-v distribution could become an issue, especially with Redis. Azure Cosmos DB could help in that apsect.
Niloofar Keshvari Nia | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use it for all large-scale projects, [like] our enterprise customers who need NoSQL database with Open APIs to run the fastest time response to develop advanced and modern applications. We recommended Azure Cosmos DB to anyone because it is so fast to read and write and very useful for very large volumes of data. It’s scalable instantly and automatically serverless database for any serious large business.
  • Scalable Instantly and automatically serverless database for any large scale business.
  • Quick access and response to data queries due to high speed in reading and writing data
  • Create a powerful digital experience for your customers with real-time offers and agile access to DB with super-fast analysis and comparison for best recommendation
  • When searching by default, it is case sensitive, which must be changed by default
  • In many ways, the price should be more flexible according to the requested facilities, because the price is very expensive for startup companies.
  • It is not fully compatible with most common Streaming Analytics tools applications and developers should be worked on it
NoSQL platforms are very useful when it comes to security, speed, accuracy, high accessibility with high read and write power. Everything is managed under the cloud and we have the various capabilities of Azure and support for Microsoft products with us. Flexibility in price and variety of features, as well as real-time results, are some of the popular [features] of this platform.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Azure Cosmos is used in a department that does a lot of analytics work and deals with big data. Typically we have systems hosted in AWS or Azure. The ones hosted in Azure datacenters rely on Azure Cosmos databases. That being said, the downstream users are scattered globally. Azure Cosmos DB is fast and reliable.
  • Highly available
  • Seamless service with low latency
  • Can be accessed through API
  • Expensive, so be careful of the use case.
  • We had a thought time migrating from traditional DBs to Cosmos. Azure should provide a seamless platform for the migration of data from on-premises to cloud.
Cosmos DB is fast, reliable, and highly available. We use it mostly in analytics and applications that leverage big data hosted on the Azure Datacenter. If you have a virtual private cloud in one of Azure sites, then you would definitely need Cosmos. It works well with on-premises applications and offers little to no latency.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We're using Azure Cosmos DB for multiple projects across IT that require a NoSQL data store. We were initially storing JSON data inside of SQL Server, but the volume and speed of this unstructured data were too much.
  • Injects unstructured data at a very high speed.
  • No real need for administrative work, it indexes everything on it's own.
  • Cost, it's quite expensive.
If you need to store high volumes/velocity of unstructured data, Azure Cosmos DB definitely worth looking at.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
It's currently used for our e-Commerce enterprise platform to serve online customers to fulfill their online purchases. Currently we started using it for our ordering platform and plan to use it across multiple departments like marketing, finance, etc. As customers are growing rapidly for our system and we recently moved to a cloud platform, Microsoft Azure Cosmos DB offers high scalability and performance.
  • High Avalibility
  • Performance
  • Migration should be easy, especially moving out of any other database platform like SQL Server, DB2, or Oracle
  • Query Monitoring
It's a perfect choice for cloud environments with a heavy user base where performance and availability is in high demand. I would not say it's less appropriate because it completely depends on environment to environment and what you are trying to achieve. Overall Azure Cosmos DB also offers high data availability and data security. It's also easy to use.
Lars Kemmann | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We use Azure Cosmos DB as our preferred NoSQL store for custom application development for our clients. It solves many of the onboarding hurdles for graph databases in particular, and the automatic indexing features make it ideal for a variety of scenarios across document and table storage as well. We rely on Cosmos DB when we need high availability, globally-distributed access with very low latency, and always-ready compute over data. In the past two years, I've found our team moving away from relational databases more and more as we're discovering ways to apply NoSQL much more cost-effectively than what could be done with an RDBMS.
  • Turn-key geo-redundancy with multi-master writes is unprecedented and unparalleled in the industry!
  • Guaranteed low latency makes Cosmos DB an excellent fit for most of our performance-intensive situations.
  • The tunable consistency model simplifies so many challenges in distributed systems engineering that otherwise require advanced knowledge of computer science topics. I continue to be impressed at how Cosmos DB has abstracted away so much complexity.
  • Cosmos DB can be very expensive if you're using it for scenarios that are better completed in regular old Azure Table Storage or Blob Storage, specifically if you put some thought into your partitioning schemes. No product is a good substitute for thoughtful system design.
  • It would be helpful if I had some more insight into how many resources (DTUs) an individual query uses.
  • The auto-indexing is great, but a little mysterious -- not usually an issue but it does require some intentional thought.
Cosmos DB is hands-down the most flexible and performant way to store and access data related to the functionality of your applications. If you don't really need a 3rd-normal-form relational schema, and if you're not working on a (hot or cold) big data analytics scenario, then you should almost definitely be using Cosmos DB! The only major exception is if your use case can be addressed with some thoughtful planning and use of plain old Azure Storage, which might not get a lot of attention but is still a rock-solid platform.
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