JSON vs. Python vs. QML vs. VoltDB Comparison Chart

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

Volt Active Data is a data platform built to make your entire tech stack leaner, faster, and less expensive, so that your applications (and your company) can scale seamlessly to meet the ultra-low latency SLAs of 5G, IoT, edge computing, and whatever comes next. Designed to augment your existing big data investments, such as NoSQL, Hadoop, Kubernetes, Kafka, and traditional databases or data warehouses, Volt Active Data replaces the various layers typically required to make contextual decisions on streaming data with a single, unified layer that can handle ingest to action in less than 10 milliseconds. The world is full of data that’s generated, stored, forgotten, and then deleted. “Active Data” is data that needs to be acted on immediately to gain business value from it. There are lots of traditional and NoSQL data storage products that you can use to keep such data. There’s also data that you can make money from, if only you can act on it fast enough to ‘influence the moment’.