Thus, OrientDB was born: the first Multi-Model Open Source NoSQL DBMS that combines the power of graphs and the flexibility of documents into one scalable, high-performance operational database.
.. OrientDB was engineered from the ground up with performance as a key specification. It’s fast on both read and write operations. On writes, it can store up to 150,000 records per second*. The OrientDB time series module can insert 120,000 records per second*, while keeping the time graph synchronized for real-time analytics.
PL/V8 Language in Postgres
The V8 JavaScript engine from Google is available as an embedded language.
Not part of core or contrib; needs to be built and installed separately.
Using MySQL as a NoSQL – 750,000 qps on a commodity server
The highest throughput was as follows:
approx qps server CPU util MySQL via SQL 105,000 %us 60% %sy 28% memcached 420,000 %us 8% %sy 88% MySQL via HandlerSocket 750,000 %us 45% %sy 53%
MongoDB in the Amazon Cloud
While tempting, running databases in the cloud is not as simple as Amazon makes it sound. Reddit felt that with their Cassandra and PostgreSQL deployment.