"This way, you can run complex analytic queries, join different collections, and benefit from SQL data visualization tools."
"In the following, we show a rather simple query, but complex queries that involve sub-selects, SQL window functions, and collection joins are also possible. In fact, you can even join a MongoDB collection with a PostgreSQL table."
"And the really exciting part for us is that CitusDB can easily enable analytic queries for sharded MongoDB installations, as it is built on PostgreSQL and can already distribute SQL queries."
This company builds CitusDB, "a distributed database that lets you run SQL queries over very large data sets. Designed for analytical queries, CitusDB enables real-time responsiveness." This apparently allows their software to work with MongoDB.
"In the following, we show a rather simple query, but complex queries that involve sub-selects, SQL window functions, and collection joins are also possible. In fact, you can even join a MongoDB collection with a PostgreSQL table."
"And the really exciting part for us is that CitusDB can easily enable analytic queries for sharded MongoDB installations, as it is built on PostgreSQL and can already distribute SQL queries."
This company builds CitusDB, "a distributed database that lets you run SQL queries over very large data sets. Designed for analytical queries, CitusDB enables real-time responsiveness." This apparently allows their software to work with MongoDB.