Startups Using MongoDB in Boston
Via their job posts and information submitted by startups themselves, these are the Boston MongoDB startups we've found.
Interested in other technologies? Browse or search all of the built-in-boston tech stacks we've curated.
Software tool suite for English-as-a-second-language teachers.
Tech Stack Highlights
ASP.NET MVC/Web API – Using these enterprise-grade frameworks and Visual Studio enables us to focus on delivering value to our customers through new web-based products and features. Documentation and IDE support for .NET and C# is incredibly rich. We also depend heavily upon continuous integration (CI), one-click builds, and Selenium automation tests to build in quality from the start.
Elasticsearch – We’re using Elasticsearch as our search platform to enable educators to construct and perform complex queries to identify and visualize data about students, such as those that might need extra attention or are at risk. Student data, especially for English Language Learners (ELLs), is incredibly nuanced and is comprised of many different properties. Elasticsearch helps us scale to support the fast searching of multiple data sets from each of our school district customers.
Python – We find that it’s one of the best technologies for data wrangling, especially when using packages such as pandas. Whether it is manipulating large datasets in MongoDB via map-reduce functions, or transforming data files containing important student data, Python is our tool of choice in this area.
Octopus Deploy – We use Octopus Deploy for our deployment automation platform. It holds a near and dear place in our hearts because it provides first-class support for Windows/.NET and is extensible, open and reliable. And it’s from Australia!
Computer vision for marketing and brand analytics, with search capabilities.
Tech Stack Highlights
Apache Spark – We use Spark, Spark Streaming, and the Apache Kafka frameworks for fast in-memory compute, real-time streaming, and lambda architecture. These technologies power our cyber threat detection, remediation and visualization software.
Cassandra – Our platform relies on Apache Cassandra NoSQL database for long-term data analytics and reporting. We use Elasticsearch for real-time search and analysis and Redis for in-memory cache.
Docker – We’re built on a Docker container micro-services architecture and Ansible DevOps orchestration framework for flexible bare-metal, virtual machine & cloud deployments.
Angular.js – We use the Angular front-end framework with D3.js, and NodeJS on the backend.
3D printing of metal parts.
“A machine learning platform for data scientists of all skill levels to build and deploy accurate predictive models.”