How to use FastAPI with Materialize for real-time data processing

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • materialize-tutorials

    Materialize is a streaming database for real-time analytics. This is a collection of Materialize demos and tutorials.

  • git clone https://github.com/bobbyiliev/materialize-tutorials.git

  • redpanda

    Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

  • Redpanda: Kafka® compatible event streaming platform written in C++.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • materialize

    The data warehouse for operational workloads. (by MaterializeInc)

  • This is a self-contained demo of FastAPI and Materialize.

  • fastapi

    FastAPI framework, high performance, easy to learn, fast to code, ready for production

  • FastAPI: A fast, modern, and feature-rich framework for building APIs with Python.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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