With so many NoSQL choices, how do you decide on one? Here’s a handy guide for narrowing your choice to three Hadoop gets much of the big data credit, but the reality is that NoSQL databases are ...

MySQL is a bit of an attention hog. With relational databases supposedly put on deathwatch by NoSQL, MySQL should have been edging gracefully to the exit by now (or not so gracefully, like IBM’s ...

Relational databases like MySQL and PostgreSQL are good for structured data, while NoSQL databases like MongoDB and Cassandra are better for unstructured data. Graph databases like Neo4j are ideal ...

Choosing between schemaless NoSQL databases and strong-schema relational designs isn't an either-or decision, as this case study points out. When dealing with their big data problem, Craigslist ...

NoSQL databases: Redis Like CouchDB and MongoDB, Redis stores documents or rows made up of key-value pairs. Unlike the rest of the NoSQL world, it stores more than just strings or numbers in the ...

MongoDB has its own SQL-like query language, and CouchDB uses JavaScript. But there are adapters that do similar ORM-like translations for many NoSQL databases, allowing developers to stay within a ...

3] DBgate Next, DBgate. It is another free open-source database that offers support for both SQL and NoSQL databases. This includes MySQL, Oracle, MongoDB, SQLite, PostgreSQL, and more.

However, like most SQL databases, PostgreSQL supports a JSON column type—JSONB—which allows JSON objects to be stored directly inside the rows of a table. Adding JSON documents to a PostgreSQL table ...

MongoDB differentiates itself from legacy relational databases with its NoSQL document-based architecture, offering scalability and flexibility.

Neither MongoDB nor MySQL could finish a row-by-row insert of JSON data in the allotted 8 hours. EDB Postgres AI's average time elapsed for row-by-row insert of JSON data was 150x faster than MongoDB, ...