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.
Azure Cosmos DB Review
One of the safest and fastest NoSQL DataBase for creating high end apps
Azure Cosmos is the way to go for cloud based data warehousing solutions
Azure Cosmos DB just works
One of the Best Cloud based DB
A one-of-a-kind solution to more problems than you probably realize!
Awards
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Popular Features
- Availability (7)10.0100%
- Security (7)10.0100%
- Performance (7)10.0100%
- Concurrency (7)10.0100%
Reviewer Pros & Cons
Pricing
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.
Entry-level set up fee?
- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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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.
- 10Performance(7) Ratings
How fast the database performs under data load
- 10Availability(7) Ratings
Availability is the probability that the NoSQL database will be available to preform its function when called upon.
- 10Concurrency(7) Ratings
Concurrency is the ability for multiple processes to access or change shared data simultaneously. The greater the number of concurrent user processes that can execute without blocking each other, the greater the concurrency of the database system.
- 10Security(7) Ratings
Security features include authentication against external security mechanisms liker LDAP, Windows Active Directory, and authorization or privilege management. Some NoSQL databases also support encryption.
- 10Scalability(7) Ratings
NoSQL databases are inherently more stable than relational databases and have built-in support for replication and partitioning of data to support scalability.
- 9Data model flexibility(7) Ratings
NoSQL databases do not rely on rely on tables, columns, rows, or schemas to organize and retrieve data, but use use more flexible data models to accommodate the large volume and variety of data being generated by modern applications.
- 10Deployment model flexibility(7) Ratings
Can be deployed on-premise or in the cloud.
Product Details
- About
- Tech Details
What is Azure Cosmos DB?
Azure Cosmos DB Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
Comparisons
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Reviews and Ratings
(41)Attribute Ratings
Reviews
(1-5 of 5)Azure Cosmos DB Review
- Global key distribution
- Elasticity in scale
- ANSI SQL support
- Pure ACIDity support
- Performance
- 70%7.0
- Availability
- 70%7.0
- Concurrency
- 50%5.0
- Security
- 20%2.0
- Scalability
- 90%9.0
- Data model flexibility
- 70%7.0
- Deployment model flexibility
- 60%6.0
- Learning curve is pretty high
- Another "language" to learn
- 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
- Performance
- 90%9.0
- Availability
- 100%10.0
- Concurrency
- 90%9.0
- Security
- 100%10.0
- Scalability
- 90%9.0
- Data model flexibility
- 90%9.0
- Deployment model flexibility
- 90%9.0
- High response speed in reading and writing data and real-time results multiplies the speed of action in all tasks
- Save costs and access database results by reducing managed costs
- Ability to build advanced applications and software easier in the shortest possible time
- OrientDB, Amazon DynamoDB, MongoDB Atlas and Google BigQuery
Azure Cosmos DB just works
- 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.
- Performance
- 90%9.0
- Availability
- 90%9.0
- Concurrency
- 90%9.0
- Security
- 90%9.0
- Scalability
- 90%9.0
- Data model flexibility
- 90%9.0
- Deployment model flexibility
- 90%9.0
- Azure Cosmos DB may be expensive on its own, but it was cheaper than increasing the size/power of our VMs running SQL Server instances enough to keep up with the volume and velocity of the unstructured data.
- We got the JSON data out of our SQL Servers and they quit tipping over.
One of the Best Cloud based DB
- High Avalibility
- Performance
- Migration should be easy, especially moving out of any other database platform like SQL Server, DB2, or Oracle
- Query Monitoring
- Performance
- 90%9.0
- Availability
- 100%10.0
- Concurrency
- 70%7.0
- Security
- 90%9.0
- Scalability
- 90%9.0
- Data model flexibility
- 50%5.0
- Deployment model flexibility
- 70%7.0
- RDBMS Database Platform
- MS Customer Support and Documentation
A one-of-a-kind solution to more problems than you probably realize!
- 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.
- Performance
- 90%9.0
- Availability
- 100%10.0
- Concurrency
- 100%10.0
- Security
- 100%10.0
- Scalability
- 100%10.0
- Data model flexibility
- 100%10.0
- Deployment model flexibility
- 80%8.0
- Tremendously reduced our time-to-market with solutions built on graph databases
- Helped our team to think more broadly about data by making NoSQL options much more accessible
- Saved us significant effort on geo-replication and global availability