Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many
of them are turning to in-memory data grids (IMDGs).
Published By: Microsoft
Published Date: Jul 20, 2018
At its Build conference in May, Microsoft took the wraps off Cosmos DB, the new incarnation of its
existing cloud-based Azure DocumentDB NoSQL database. With a nod to the dramatic, Microsoft
terms Cosmos DB as its biggest database bet since SQL Server; it is positioning it as its flagship
cloud database, suited for use cases ranging from security and fraud detection, to IoT (consumer and
industrial), personalization, e-commerce, gaming, social networks, chats, messaging, bots, oil and gas
recovery and refining, and smart utility grids. Cosmos DB is a good example of how cloud platform
providers are rethinking databases for scalable, elastic environments and commodity infrastructure.
The platform that is most comparable is Google Cloud Spanner, but each of these databases is
engineered for different purposes: Cosmos DB as a globally distributed operational database and
Spanner as a globally distributed SQL-supporting OLTP database.
The highlights of Cosmos DB include its flexibility in