Does Microsoft’s Cosmos DB promise too much?

Microsoft apparently missed database godfather Michael Stonebraker’s memo. In 2005 Stonebraker declared the “one size fits all” mentality of the database market is an idea whose “time has come and gone.” Fast forward to 2017 and Microsoft launched Azure Cosmos DB, a new database that promises to do… everything.

No, really. Everything.

Relational data? Check. Documents? Yep. Graph? Of course. Strong consistency? Bingo! Eventual consistency? That, too! In fact, Cosmos DB has five consistency models to choose from.

Not surprisingly, euphoric cries greeted the press release, with one developer gushing that it “absolutely beats any competitor in the cloud” and, as such, “not sure why would you go for anything else today.” Microsoft, even less surprisingly, agreed, calling Azure Cosmos DB “the first globally-distributed data service that lets you elastically scale throughput and storage across any number of geographical regions while guaranteeing low latency, high availability, and [five well-defined] consistency [models].”

To read this article in full or to leave a comment, please click here

from InfoWorld Cloud Computing