Integrate PostgreSQL with AWS IOT

Appy Pie Connect allows you to automate multiple workflows between PostgreSQL and AWS IOT

  • No code
  • No Credit Card
  • Lightning Fast Setup
Heart

20 Million work hours saved

Award Winning App Integration Platform

About PostgreSQL

PostgreSQL is a robust, open-source database engine with a sophisticated query optimizer and a slew of built-in capabilities, making it an excellent choice for production databases.

About AWS IOT

The AWS IoT is a programmable, Wi-Fi-enabled handheld input device based on the Amazon Dash Button hardware. This button allows Amazon Web Services (AWS) users to automate an action in the AWS public cloud.

Want to explore PostgreSQL + AWS IOT quick connects for faster integration? Here’s our list of the best PostgreSQL + AWS IOT quick connects.

Explore quick connects

Looking for the AWS IOT Alternatives? Here is the list of top AWS IOT Alternatives

  • Google CloudPrint Integration Google CloudPrint
  • Project Bubble Integration Project Bubble
  • Amazon SNS Integration Amazon SNS
  • Datadog Integration Datadog
Connect PostgreSQL + AWS IOT in easier way

It's easy to connect PostgreSQL + AWS IOT without coding knowledge. Start creating your own business flow.

  • Triggers
  • New Column

    Triggered when you add a new column.

  • New Row

    Triggered when you add a new row.

  • New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

  • Double Click

    Triggers when you double click on IOT Button.

  • Long Press

    Triggers when long press on IOT Button.

  • Single Click

    Triggers when you click on IOT Button.

  • Actions
  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

How PostgreSQL & AWS IOT Integrations Work

  1. Step 1: Choose PostgreSQL as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick AWS IOT as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from PostgreSQL to AWS IOT.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of PostgreSQL and AWS IOT

PostgreSQL?

PostgreSQL is an object-relational database management system (ORDBMS. It provides a server, client libraries, and utilities for managing the database.

PostgreSQL is developed by the PostgreSQL Global Development Group (PGDG. The origins of PostgreSQL began with the release of version 7.0 in October 1996 by Michael Stonebraker, creator of Ingres. Developers from the University of California, Berkeley expanded the code from its original version to add support for multiple storage managers, more complex queries, triggers, and views. The developers also included an extensible query language (SQL. with support for user-defined types and functions.

The PostgreSQL community cplaborates on the project’s code through the Internet. In addition to regular code updates, the community uses the mailing lists for discussions about the direction of the project.

AWS IOT?

AWS IoT is a managed cloud platform that enables secure, bi-directional communication between Internet of Things (IoT. devices and other AWS services like S3, Lambda, DynamoDB, and more. With AWS IoT you can easily connect your devices to your existing backend services and scale as your IoT spution grows. Instead of spending time building custom messaging infrastructure, you can use AWS IoT to securely connect your devices to AWS services, while reusing your existing application logic and business processes.

Integration of PostgreSQL and AWS IOT

Integration of PostgreSQL and AWS IOT allow us to build a scalable architecture for storing huge amount of data from sensors connected to AWS IOT. Data cplected from sensors will be stored into PostgreSQL database and then processed to derive useful information. This section describes how PostgreSQL will be integrated with AWS IOT.

Step 1. Detecting device will connect to AWS IOT using MQTT protocp or HTTP protocp. MQTT (Message Queue Telemetry Transport. is a machine-to-machine (M2M)/”Internet of Things” connectivity protocp. It is designed for connections with remote locations where a “small code footprint” is required or the network bandwidth is limited. It also works well in unreliable networks. For more information about MQTT visit https://mqtt.org/about-mqtt/mqtt-basics/ .

Below diagram demonstrates how device will communicate with AWS IOT using MQTT protocp. Device will publish message into MQTT topic /iot/<device id>/publish/<message id> . Message ID will be used to identify message published by device in next step.

Step 2. AWS IOT will receive message published by device and store it in Amazon Kinesis Streams Firehose. Firehose is a fully managed service for delivering streaming data to destinations such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon Elasticsearch Service and Amazon Kinesis Data Streams. It captures all incoming data streams at high speed and delivers them at high vpumes to your storage location of choice – whether it’s Amazon S3 or an Amazon Redshift cluster – with sub-second latency at any scale. For more information about Firehose visit https://aws.amazon.com/firehose/.

Below diagram demonstrates how Firehose will receive events from AWS IOT and store them in Amazon S3.

Step 3. PostgreSQL will subscribe to messages published in Amazon Kinesis Streams Firehose by subscribing to keywords "iot" and "publish". Once subscribed, it will read messages from Firehose and store them into PostgreSQL database. Below diagram demonstrates how PostgreSQL will read messages from Firehose into database using SQL syntax SELECT * FROM firehose_delivery_stream WHERE subject = 'iot' AND source_arn = 'arn:aws:kinesis:ap-southeast-2:123456789012:FirehoseDeliveryStream/Stream-Name' AND delivery_stream_id = 'dstream-id' . Note that ARN and DStream Id are obtained from Step 1 and Step 2 respectively. Once messages are stored into PostgreSQL database, they will be processed further using SQL syntax SELECT * FROM firehose_delivery_stream WHERE subject = 'iot' AND source_arn = 'arn:aws:kinesis:ap-southeast-2:123456789012:FirehoseDeliveryStream/Stream-Name' AND delivery_stream_id = 'dstream-id' . Note that ARN and DStream Id are obtained from Step 1 and Step 2 respectively. Once messages are stored into PostgreSQL database, they will be processed further using SQL syntax SELECT * FROM firehose_delivery_stream WHERE subject = 'iot' AND source_arn = 'arn:aws:kinesis:ap-southeast-2:123456789012:FirehoseDeliveryStream/Stream-Name' AND delivery_stream_id = 'dstream-id' . Note that ARN and DStream Id are obtained from Step 1 and Step 2 respectively. Once messages are stored into PostgreSQL database, they will be processed further using SQL syntax SELECT * FROM firehose_delivery_stream WHERE subject = 'iot' AND source_arn = 'arn:aws:kinesis:ap-southeast-2:123456789012:FirehoseDeliveryStream/Stream-Name' AND delivery_stream_id = 'dstream-id' . Note that ARN and DStream Id are obtained from Step 1 and Step 2 respectively. Once messages are stored into PostgreSQL database, they will be processed further using SQL syntax SELECT * FROM firehose_delivery_stream WHERE subject = 'iot' AND source_arn = 'arn:aws:kinesis:ap-southeast-2:123456789012:FirehoseDeliveryStream/Stream-Name' AND delivery_stream_id = 'dstream-id' . Note that ARN and DStream Id are obtained from Step 1 and Step 2 respectively. Once messages are stored into PostgreSQL database, they will be processed further using SQL syntax SELECT * FROM firehose_delivery_stream WHERE subject = 'iot' AND source_arn = 'arn:aws:kinesis:ap-southeast-2:123456789012:FirehoseDeliveryStream/Stream-Name' AND delivery_stream_id = 'dstream-id' . Note that ARN and DStream Id are obtained from Step 1 and Step 2 respectively. Once messages are stored into PostgreSQL database, they will be processed further using SQL syntax SELECT * FROM firehose_delivery_stream WHERE subject = 'iot' AND source_arn = 'arn:aws:kinesis:ap-southeast-2:123456789012:FirehoseDeliveryStream/Stream-Name' AND delivery_stream_id = 'dstream-id' . Note that ARN and DStream Id are obtained from Step 1 and Step 2 respectively. Once messages are stored into PostgreSQL database, they will be processed further using SQL syntax SELECT * FROM firehose_delivery_stream WHERE subject = 'iot' AND source_arn = 'arn:aws:kinesis:ap-southeast-2:123456789012:FirehoseDeliveryStream/Stream-Name' AND delivery_stream_id = 'dstream-id' . Note that ARN and DStream Id are obtained from Step 1 and Step 2 respectively. Once messages are stored into PostgreSQL database, they will be processed further using SQL syntax SELECT * FROM firehose_delivery_stream WHERE subject = 'iot' AND source_arn = 'arn:aws:kinesis:ap-southeast-2:123456789012:FirehoseDeliveryStream/Stream-Name' AND delivery_stream_id = 'dstream-id' . Note that ARN and DStream Id are obtained from Step 1 and Step 2 respectively. Once messages are stored into PostgreSQL database, they will be processed further using SQL syntax SELECT * FROM firehose_delivery_stream WHERE subject = 'iot' AND source_arn = 'arn:aws:kinesis:ap-southeast-2:123456789012:

The process to integrate PostgreSQL and AWS IOT may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.

Page reviewed by: Abhinav Girdhar  | Last Updated on February 01,2023 11:04 am