Startups Using MySQL in Boston

Via their job posts and information submitted by startups themselves, these are the Boston MySQL startups we've found.

Interested in other technologies? Browse or search all of the built-in-boston tech stacks we've curated.

Tech Stack Highlights

Ruby / Rails – We use Ruby and Rails for our web facing applications, as well as the API underlying the platform. The entire platform is deployed to Amazon AWS. We haven’t made the jump to Rails 5 yet for existing applications, but it’s on the radar.

AWS – The entire drizly platform is built on AWS. We use a variety of different services, including SNS, Redshift and Lambda, which are used heavily in our data pipeline.

React – Where possible new frontend development is done in React. We have some SPA style projects built in React, as well as a significant number of components on our e-commerce site utilizing react.

Mysql/Postgres/Redshift – Depending on the application we use a slightly different data-store. We like to be flexible, and find the right solution for the problem at hand.

SQS – We utilize SQS heavily as a background job processing system. We’ve found it to be stable, and durable, and performant enough for our use cases.

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Cybersecurity tools manager, providing higher-level coordination and performance analysis for orgs using multiple tools.

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Non-signature-based cyberattack detection, using AI to detect unusual activity on the network from insiders or unknown threats.

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Ballot visualization software, providing quick, transparent review of scanned ballots and how they were counted.

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In-development platform by former Adelphic Mobile cofounder Jennifer Lum, aiming to turn “unstructured data into streams of structured information immediately usable by intelligent machines.”

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Software for managing specialty drug prescriptions for providers, pharmacists, and patients — reducing complexity & increasing speed of access to medicine.

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Caregiver assistance platform as an employee benefit, for employees acting as caregivers for special needs children or family elders.

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Biometric-secured, blockchain-verified online voting.

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“Find, compare, and review doctors.” Reviews are individually human-moderated.

Tech Stack Highlights

Ruby On Rails – We use RoR for our core site implementation, enabling users to search for medical Providers and easily leave ratings & reviews. Our web pages are built using Bootstrap, HAML, SASS and Javascript technologies. We’ve built a data model system in Python that replaces ActiveRest. That model system is shared as a reusable Library by many of our other applications.

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.

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