Azure Cosmos DB-Establishment of World-Wide Data Consistency

Azure Cosmos DB-Establishment of World-Wide Data Consistency

September 9, 2019
Azure Cosmos DB

“Data! Data! Data! I can’t make bricks without clay!”- Sherlock Holmes

Not only fictional characters, but most of today’s discerning executives are also the victim of data anxiety. For the know-all-tell-all crystal ball, data is the core of any organization’s growth and productivity; only with data, you can generate insights that can turn into actions. However, for organizations that do business on a global scale, the long-distance database relationship is a significant backdrop. To establish that most sought after data consistency worldwide; Azure Cosmos DB came to existence to provide the right data at the right time.

Initially started as “Project Florence” in late 2010, it eventually flourished into today’s Azure Cosmos DB. With Cosmos DB, you can run your mission-critical workloads on a proven multi-model database service, built on world-class infrastructure with enterprise-grade security and compliance trusted by leading enterprises, including Microsoft. A small trailer of what Cosmos DB can offer— horizontal scaling, schema-free, graph database support, automatic indexing, multi-API support, 4 data storage models: Graph, key-value pairs, documents, and column family.

Diving deep into the Advantages of Microsoft Azure DB

Well Defined Consistency Models

You no longer need to avail databases that limit your consistency choices, as Azure capitalizes on the PACELC theorem and gives you full freedom to choose different consistency models. This may include Bounded-staleness, eventual, session, and consistent prefix. It should be noted that no database service offers this extreme flexibility in the consistency models.

99.999 percent Data Availability Worldwide

Designing for future scalability of the solution without real-time data can be an arduous task, especially when you are extending the roots of the organization. This is where Azure Cosmos DB comes to the rescue; without any hindrance, you can add or eliminate regions to and fro from your globally distributed database anywhere, with 99.999 percent availability.

With Azure, there are no operational complications of setting up and managing a cloud-scale, NoSQL distributed database. Azure scales throughput and storage automatically and elastically across all your globally expanded offices, providing you a one-of-a-kind experience. Furthermore, to assure that round the clock availability, Azure Cosmos DB not only supports automatic failover, it even permits manually simulating a regional failover.

Pliable Schema Design

In today’s rapid-paced environment, schemas change frequently, and the ability to securely and quickly adapt to those changes has been a vital part for any organization to stay on the track. Moreover, with the auto-indexing feature in Cosmos DB, schema and indexes are in complete synchronization, schema alterations are implemented instantly with no downtime or secondary indexes. Furthermore, by setting auto-indexing as default, query performance is maximized as soon as the data is loaded.

Faster Database Reads and writes

With Azure Cosmos DB, you can now provide less than ten-millisecond reads and writes backed up with a Service Level Agreement. All the applications are guaranteed with single-digit reads and write at low latency 99.999 percentile all around the world with multi-master replication.

Free of Choices in APIs

Azure Cosmos DB provides you complete freedom to pick the API of your choice from a myriad of APIs. This may include SQL, Javascript, Mongo, Gremlin (Graph), Azure table storage, and Cassandra (CQL). Each API has its own set of operations. The operations range from simple point reads and writes to complex queries. Each database operation consumes system resources based on the complexity of the operation. This free of choice allows the developers to bring the existing apps to the cloud and continue developing the apps with the available skill sets.

All at an Affordable Price

Azure Cosmos DB is highly economical; you pay only for the throughput provisioned and the storage consumed on an hourly basis. Pricing of Cosmos DB is expressed in Requested Units (RU), which is a rate based currency. For instance, the pricing to read a 1KB item is 1RU; likewise, all the pricings of database operations are measured by RUs. To calculate the number of RUs that you have consumed, you can examine the response header. This way, you can determine the factors that impact the RU charges and the application’s throughput requirements and run it economically.

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