Aerospike & IoT using MQTT

• mqtt-aerospike-example

  1 1 10.0 Java

  Example code showing how to make use of Aerospike to store IoT data supplied via MQTT

  

This article, based on example code in the aerospike-examples/mqtt-aerospike-example GitHub repository, describes how to achieve end-to-end data flow between a small device and Aerospike, with the data being stored in Aerospike as queryable time series. Although the example is small in scope, the decoupled MQTT architecture and high performance Aerospike database allows the approach to be scaled to accommodate thousands of devices, storing data over a period of years if necessary.

• aerospike-time-series-client

  2 3 4.1 Java

  Aerospike Time Series Client

  

This example shows how the Aerospike database can be easily and scalably used to store industrial time series data made available by the MQTT ecosystem. Aerospike plus its Community Time Series Client streamlines the storage and retrieval of the data, supporting the ability to both write and read millions of data points per second if required.

• InfluxDB

  www.influxdata.com sponsored

  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.

  

• mqtt.org

  28 5,058 6.8 SCSS

  The mqtt.org website

  

This example shows how the Aerospike database can be easily and scalably used to store industrial time series data made available by the MQTT ecosystem. Aerospike plus its Community Time Series Client streamlines the storage and retrieval of the data, supporting the ability to both write and read millions of data points per second if required.

• Aerospike

  15 971 8.7 C

  Aerospike Database Server – flash-optimized, in-memory, nosql database

  

This example shows how the Aerospike database can be easily and scalably used to store industrial time series data made available by the MQTT ecosystem. Aerospike plus its Community Time Series Client streamlines the storage and retrieval of the data, supporting the ability to both write and read millions of data points per second if required.

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