At build 2017, Microsoft announced a new service known as Cosmos DB which is now superset of DocumentDB.

Azure CosmosDb is a Globally Distributed, Highly Scalable, highly available fully managed one stop solution for NoSql Customers.

It supports REST Based APIs calls and Microsoft has also built client side sdks for .Net, .Net Core, python, node, javascript and Java.

Along with DocumentDB , CosmosDB now contains MongoDB API, Column Based, Key Value Pair and Graph Database to Azure with Cosmos DB.

Azure CosmosDb is the one of the biggest announcement of the build 2017 and it is one place service for all our NoSQL requirements

Azure CosmosDb gives the option to store the data in a KeyValue Pair, Column based database, and Document based database as well as the Graph Database.

It right now support azure tables, MongoDb, SQL, and DocumentDb & Gremlin.

Microsoft indicated that they are going to be adding more service under this umbrella which is going to make it much more powerful.

These capabilities are in the areas of the core database engine as well as global distribution, elastic scalability, and industry-leading, comprehensive SLAs.

For the existing DocumentDb Customers, the transaction is going to be seamless. The DocumentDb Account is going to move under the cosmosDb account and all your collections and data will remain intact.

Also, the same client SDKs will continue to work and you don’t need to make any code changes inorder to continue with the documentDb application.

Design Goals of Azure Cosmos DB

Elastic Scale

One of the biggest advantage of using any service is elasticity to scale up and down as per need and Azure Cosmos Db is designed to support it. It will be able to deliver the Throughput within 5 seconds at the 99th percentile, from the time of scaling

Distributed Application 

In the last few years, the type of applications we used to build have changed and now we are looking for globally distributed application which means in the database world is our data will be globally distributed across multiple regions. With this, there comes the bottle neck of consistency as syncing of data is a difficult task and making it consistent. CosmosDb has worked on this pain point and make the data “eventually consistent” which means the data is eventually going to be consistent and the Platform takes care of that you don’t need to handle those scenarios.

Responsive and Critical Application 

The system must deliver predictable and guaranteed end-to-end low read and write latencies at the 99th percentile.

Always on Database

In order to provide the 99.99% availability across multiple regions associated with their database. Azure Cosmos Db gives you a failover mechanism out of the box that means if one region is down than the calls will automatically redirected to the other region and you can also mockup this scenario to test the failover-availability scenario.

Economical 

The data is stored in a SSD and its charged as $0.025 GB/Month.  The throughput of the collection is billed per hour and charged at $5.952/Month (based on 744 hours per month).  Minimum throughput required is 400 so the minimum cost of a cosmosdb account is going to be somewhere around ~$21 per month. Also, Gremlin is in preview right now and its free as of now. 

SchemaLess

Maintaining and designing the schema is a pain point for all the developers so CosmosDB is designed on NoSQL which mean there will be no schema and developers can focus on the application logic instead

Support multiple languages and APIs 

It supports multiple APIs and language. Microsoft has released SDKs for major programming languages like .Net, .Net Core, Node.js, python, JavaScript and java but also gives the mongo Db user to directly move the data by just changing an API connection string.

Design Goals of Azure Cosmos DB

Elastic Scale

One of the biggest advantage of using any service is elasticity to scale up and down as per need and Azure Cosmos Db is designed to support it. It will be able to deliver the Throughput within 5 seconds at the 99th percentile, from the time of scaling

In the last few years, the type of applications we used to build have changed and now we are looking for globally distributed application which means in the database world is our data will be globally distributed across multiple regions. With this, there comes the bottle neck of consistency as syncing of data is a difficult task and making it consistent. CosmosDb has worked on this pain point and make the data “eventually consistent” which means the data is eventually going to be consistent and the Platform takes care of that you don’t need to handle those scenarios.

Distributed Application 

Responsive and Critical Application 

The system must deliver predictable and guaranteed end-to-end low read and write latencies at the 99th percentile.

In order to provide the 99.99% availability across multiple regions associated with their database. Azure Cosmos Db gives you a failover mechanism out of the box that means if one region is down than the calls will automatically redirected to the other region and you can also mockup this scenario to test the failover-availability scenario.

The data is stored in a SSD and its charged as $0.025 GB/Month.  The throughput of the collection is billed per hour and charged at $5.952/Month (based on 744 hours per month).  Minimum throughput required is 400 so the minimum cost of a cosmosdb account is going to be somewhere around ~$21 per month. Also, Gremlin is in preview right now and its free as of now. 

Always on Database

Economical 

SchemaLess

Maintaining and designing the schema is a pain point for all the developers so CosmosDB is designed on NoSQL which mean there will be no schema and developers can focus on the application logic instead

Support multiple languages and APIs 

It supports multiple APIs and language. Microsoft has released SDKs for major programming languages like .Net, .Net Core, Node.js, python, JavaScript and java but also gives the mongo Db user to directly move the data by just changing an API connection string.