In previous columns, we’ve noted that the SQL language is in the ascendant. New SQL native databases such as CockroachDB and Yugabyte are showing robust adoption, while non-relational (NoSQL) ...

High query capacity ... having to choose between the difficult task of sharding out MongoDB or choosing the more robust by slower SQL, Spire gives teams the ability to live in the best of both ...

MongoDB's NoSQL database offers faster query processing and flexibility, making it a strong competitor against SQL databases like Snowflake, especially for AI applications. MongoDB's strategy ...

Unfortunately, performance can be disappointing when joining across large collections or when attempting complex SQL operations such as sub-queries. There are several third-party alternatives to the ...

CQL and SQL are not identical, but in general, queries that work on SQL will work on CQL. This comes in handy if your data analysts already know SQL well. MongoDB has its own query interface. It's ...

SingleStore Kai for MongoDB brings real-time analytics to JSON documents by translating MongoDB queries onto SQL statements that are executed on SingleStoreDB. No changes to schema, data, or ...

By comparison, MongoDB has always been about developers ... vocally downplays SQL has actually written its first serious SQL query engine. So, what is Unistore? It’s a hybrid row and transaction ...

SlamData improves the efficiency of data analytics by utilizing SQL to perform ad hoc queries on data stored in NoSQL databases like MongoDB. And this efficiency is much needed, especially ...