OpenAQ Iaunches low-cost air quality sensors with ScaleGrid PostgreSQL management on AWS


Fully customizable PostgreSQL deployment with full support for extensions such as open-source TimescaleDB.


Bring Your Own Cloud on AWS makes database hosting and management scalable and cost-effective.


A simple console with an overview of all their metrics and statistics. Analytical tools helps debug queries and speeds up troubleshooting.


Fully automated PostgreSQL, reducing their time spent managing the database and allowing focus to shift to development.

ScaleGrid has provided us with a flexible solution that we needed to optimize our data storage as we scaled our platform capacity to include new types of air quality data onto the OpenAQ Platform. We were able to lower maintenance costs, reduce time managing our database, and develop a sustainable system so that we can focus on delivering our mission to fight air inequality worldwide. We are grateful for the ScaleGrid team for tailoring services specifically to our needs as a small, mission-driven nonprofit organization.

Chisato Fukuda Calvert | Deputy Director of OpenAQ

About OpenAQ

Fighting air inequality through open data and community is the primary focus for OpenAQ, a non-profit organization empowering communities around the world to clean their air by harmonizing, sharing, and using open air quality data. Through their open-source platform, users are able to easily access data that enables them to make a change for the better towards cleaner air.

OpenAQ wants to help the world solve one of the largest public health concerns, air pollution, by opening up access to vital air quality data to communities and organizations across the world. With their recently launched low-cost sensor data, they are now the largest open-source global repository of low-cost sensor and reference-grade data. This new feature allows OpenAQ to reach an even more diverse audience enabling them to fight air inequality on a larger scale than ever before.

The OpenAQ Challenge

As a non-profit organization with limited staff, OpenAQ needed a cost-effective and time-saving solution to their PostgreSQL management that allowed them to effectively scale and customize their deployments to their needs. OpenAQ hosts over 7.8 billion data points and over 35 million API requests each month. After previously hosting their PostgreSQL database via Amazon RDS, they found that they needed a way to scale their database as they added more data. Bringing on low-cost sensor data meant ingesting data an order of magnitude greater than previously ingested, therefore they started looking at updating their database solution. To help optimize their data storage, the solution they found was using the PostgreSQL extension TimescaleDB which is optimized for time-series data. Due to RDS not supporting TimescaleDB, they had to look for other alternatives for database management.

The OpenAQ platform architecture is built on AWS, so finding a DBaaS solution that supported AWS as a cloud provider was of importance. When adding the low-cost sensor data to their offering, they needed a way to minimize their time spent managing the database and shift their focus to development.

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