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Features
Seamlessly integrate with databases such as MySQL, Redis, InfluxDB, SQL Server, Oracle, and ES.
Built on a Python runtime environment, with rich built-in functions. Once deployed, functions are automatically converted into APIs.
Built on docker, can be installed and use even in environments without internet access.
Product Advantages
Out-of-the-box. Every function can instantly generate an API interface, supporting both synchronous and asynchronous calls, as well as automated scheduled executions.
Users only need to focus on how to write the code, the dataflux func will take care of all your operational tasks like execution, networking, storage, and server resources.
The minimum requirement for standalone deployment is a basic virtual machine with 1 CPU core and 1 GB of RAM. For high availability, Kubernetes (k8s) can be used, offering flexible deployment options tailored to different scenarios.
Use Cases
Easily process various types of external data and enable seamless integration with data visualization (dashboard) systems.
Quickly expose various AI and machine learning models as HTTP APIs, enabling scalable and programmable backend services.
A low-cost IoT data relay and preprocessing node that leverages programmability for on-the-fly modifications and adjustments.