Because any database that does not support the SQL language is, by definition, a "NoSQL" database, some very different databases coexist under the NoSQL banner. Massively scalable data stores like ...
Document databases offer a wonderfully flexible data model that often leads to scaling and performance issues. Here’s how Aerospike overcomes these challenges. Digital transformation continues to be a ...
A document database is a type of nonrelational database that is designed to store and query data as JSON-like documents. Document databases make it easier for developers to store and query data in a ...
MongoDB isn't just any database; it's a front-runner in the NoSQL arena that's well-known for its ability to scale up effortlessly and adapt to changes without a hitch. For businesses aiming to stay ...
SUNNYVALE, Calif.--(BUSINESS WIRE)--Yugabyte, the distributed SQL database experts, today announced its support of the new document database-compatible Postgres extension named DocumentDB. This ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
“The right tool for the right job.” If such wisdom holds true anywhere, it certainly holds true with the choice of database a developer picks for a given application. Document databases, one of the ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Amazon Web Services Inc. is taking a shot at MongoDB Inc. with the launch today of its new Amazon DocumentDB database service. Amazon said DocumentDB is a fast, scalable, highly available and fully ...
One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the ...
Businesses and organizations are increasingly challenged to handle the huge volumes of data, both internally generated and acquired from outside sources, that they need to process, store and analyze ...