SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale.

SQL-based relational servers are built to handle the demands of financial transactions, designed around the tenets of ACID: Atomicity, Consistency, Isolation, and Durability.

SQL remains a popular choice and a proven solution when it comes to modern databases that handle large-volume analytic workloads and real-time transactions. Google, despite its early adoption of NoSQL ...

And, finally, the SQL language can be overused and complex, but this is largely the choice of the developer or adopted standards within an application group. So if most of the perceived weaknesses for ...

Often, NoSQL databases boast better design flexibility, horizontal scalability, and higher availability than traditional SQL databases, sometimes at the cost of weaker consistency.

A NoSQL database has flexible data requirements, making it a better fit for applications that will evolve over time than an SQL database.

Relational databases (SQL) have been used for decades by nearly every type of business around the world. The technology is reliable, based on stable standards, and has been mature for more than 20 ...

While the audience was comprised of NoSQL users and developers, many seemed to think Stonebraker’s SQL-friendlier approach had some merit, even if they disagreed on individual points.

Weak consistency is an especially heretical thought to the RDBMS old guard. Instead, these NoSQL databases implement eventual consistency, whereby any changes are replicated to the entire database ...

NoSQL database also trades off “ACID” (atomicity, consistency, isolation, and durability). NoSQL databases, to varying degrees, even allow for the schema of data to differ from record to record.