Startups Using Postgres in Boston
Via their job posts and information submitted by startups themselves, these are the Boston Postgres startups we've found.
Interested in other technologies? Browse or search all of the built-in-boston tech stacks we've curated.
Text-message-driven baby journal service.
Tech Stack Highlights
Postgres & Redis – All this is backed up by RDS instances in AWS running PostgresDB. We heavily use Redis and SOLR for data caching and queue management.
Flask/Python – The rest of our apps and services – Email systems, data analysis, internal tools – all run in Python based Flask/Flask-Restless environments.
ELK – Our logging system is run as an Elasticsearch-Logstash-Kibana stack utilizing Filebeat and Logspout for streaming the log output. From this stack we’ve also created a comprehensive Technical SEO Dashboard where we can monitor crawlers and their activity and measure the cause & effect on new site features.
DevOps – Our apps are deployed using Docker Swarm orchestration via Ansible scripts for independence from specific cloud providers. We’ve built a structure with Docker in a Blue/Green deployment methodology so there is zero downtime when releasing code updates. The system is front ended with Jenkins-CI for automated execution of Unit/Integration/Acceptance test suites.
Computer vision & eye-tracking technology to measure viewer attention.
Podcast discovery and listening platform. Building “the new radios of our time.”
Telemedicine platform to support dental care pop-ups at offices and other locations.
Platform aggregating and analyzing footwear and apparel fit data, providing retailers with tools to offer “highly personalized fit ratings and size recommendations to shoppers.”
Recruiting sourcing as a service, plus video interviews.
Tech Stack Highlights
React.js – We use both React and Vue for our front end work. We’ve been quite happy with React but are even happier with Vue for it’s flexibility and because it’s model is more familiar.
PostgreSQL – We use Postgres as our database. Postgres is most attractive for us do to it’s strict SQL compliance as well as for Postgis, which we will be using for some of our product. We’re also using the Postgres JSON functionality for some portions of our application which are not easily modeled using a relational database.
Python – Our backend is written entirely in Python, which we find to be highly productive and elegant. We use Django as our backend framework. We get a lot of value from the ORM as well as from Django REST framework – and from the Django admin.