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Not sure of your use case, maybe you could use an embedded database (ie h2). Source: over 2 years ago
There are in-memory databases such as H2 which you can use for testing that is just a library you import. However, syntax can vary between databases. So it's only really appropriate if you're also using something like Hibernate which abstracts away a lot of the differences. Source: over 2 years ago
How about H2O? It's supposed to be significantly faster than Nginx: https://h2o.examp1e.net/. - Source: Hacker News / about 3 years ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Amazon RDS - Easy to manage relational databases optimized for total cost of ownership.
datarobot - Become an AI-Driven Enterprise with Automated Machine Learning
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.