Google spanner vs Microsoft CosmosDB; Cloud Database

With the advancements that are already happening within cloud computing, tons of improvements are bound to happen in the future. One such development includes the initiation of SQL-based databases that provide users with a customized experience of storing, sorting and processing heavy bounds of raw data. There are many database providers, and most of them work on various nodes of the SQL database engines such as Google Spanner and Microsoft CosmosDB. We will be talking about these two and the differences between them and how they can profit businesses and services relying on them.

Google has recently initiated their own database known as the Google Spanner. It works on the SQL database engine that provides users with global consistency, leveraging the GPS systems and synchronizing the working of the atomic clocks. Microsoft's CosmosDB is also a database service but in comparison with Google's Spanner a little more on the innovative side of things. It is a powerful storage device that will simultaneously offer you complete agility, customizability and flexibility.

The following are some of the key differences between these two databases and how these can intermingle or work in correspondence with each other to provide you with a better understanding of which SQL engine to use for your own operations.

Differences Between Spanner and CosmosDB

It is easier to apprehend how fundamental Spanner is because it can work in close comparison with the relational database technology, and other SQL functions can get incorporated into it. It also represents or sorts out the shortcomings that dwell on the nerves of developers for so long about app or software development. Spanner is something people have been using for some time now, only it now covers various aspects for developers and is like a buddy to them.

Data state access in terms of the CosmosDB has multiple options that you can choose from. In terms of potential scalability, it is much more stable and provides access to a whole different world of cloud computing and data management. It is important that you understand the functionality of the CosmosDB before you can buy it or think about making it a permanent interaction on a day to day basis.

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As far as the architecture of the Microsoft CosmosDB is concerned, Microsoft has announced that it is structured around the storage containers. It doesn't mainly have to do with Docker, which is a powerful system container, but brings about the use of specific virtual storage constructs.

CosmosDB is a type of system that can be operated in a variety of ways and users can set the whole operation according to their personalized view of UI or settings. CosmosDB would lump all the data into a particular container in which the Microsoft system would automatically link all the data and cross analyze the attributes to find snaps of the original data to make a long strand that only has relative data but all organized to a special category.

The bottom line is that you can use the CosmosDB in a variety of interjections or with various types of databases depending on which one is most feasible for you or better serve your operational setup. CosmosDB, as explained earlier, comes out to be an extremely capable and innovative element because the Azure provides with best SQL based capabilities, including stored procedures and triggers.

Network Latency

Naturally, the architecture of the CosmosDB is designed in such a way that it can transmit data all across the world using the lower possible latency rates that are locally accessible. It issues the measurement of the change and its magnitude that can be directed towards data schema or the overall changes in the nodes of the data in question.

Google Spanner does use the globe-spanning fiber network of Google to issue the lowest possible latency. CosmosDB also does that, stepping into the boots of Spanner. When a user propagates a change within the schema of the data at one point, then the change is being subjected to all parts or mirrored versions of the same data placed within the Azure data management repository.

The change that is made to the schema of the data takes on a fraction of a second or can be done within a millisecond so that the overall infrastructure of the data doesn’t change in any possible way and the application remains intact. There are five different data consistency choices that are provided to the user by the CosmosDB. They can choose whatever location that is near to them or they feel comfortable working. On the other hand, Google Spanner is not that versatile and doesn’t have the same set of options.               

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