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Add Quix.io to "Stream Processing Tools" #138

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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -154,6 +154,7 @@ multi-processor, multi-core machines
* [Robinhood's Faust](https://github.com/faust-streaming/faust) Forever scalable event processing & in-memory durable K/V store as a library with asyncio & static typing.
* [HStreamDB](https://github.com/hstreamdb/hstream) The streaming database built for IoT data storage and real-time processing.
* [Kuiper](https://github.com/emqx/kuiper) An edge lightweight IoT data analytics/streaming software implemented by Golang, and it can be run at all kinds of resource-constrained edge devices.
* [Quix.io](https://quix.io/product/for-data-processing-pipelines/) A scalable serverless platform for deploying and running Python projects that need to process high-frequency data streams (such as sensor data or other time-series data) in real time with nano-second precision.

# Batch Processing
* [Hadoop MapReduce](https://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/MapReduceTutorial.html) Hadoop MapReduce is a software framework for easily writing applications which process vast amounts of data (multi-terabyte data-sets) in-parallel on large clusters (thousands of nodes) of commodity hardware in a reliable, fault-tolerant manner
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