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Rails 5.2, Ruby 2.3.7, Python, R, PostgreSQL 9.6, React 0.17, AWS, Docker, RabbitMQ, Sidekiq, Snowflake

AWS rds + mysql for data storage API is in python + flask apache thrift for interface definition android app is in java ios apps in swift 3 front-end web is in python, flask, node, and react

Ruby on Rails, Ember.js, iOS app (Swift), Android app (Kotlin/Java)

React/Redux, Android (native, Kotlin), Python (using Flask / SQLAlchemy), Postgresql, AWS

React, MySQL, Java, MongoDB, Redis, Amazon S3, Go, Amazon RDS, Swift, Objective-C, Kafka, Scala, Cassandra, Amazon DynamoDB, Kotlin, Apache Spark, Amazon Redshift, gRPC, Amazon Redshift Spectrum, Elasticsearch, Mixpanel, TensorFlow, GitHub, Jenkins, Webpack, Kubernetes, Datadog, Terraform, Chef, Crashlytics, Bazel, Envoy

Airtable’s core stack is written using JavaScript, augmented with static type checking and other tools. We use Node.js on the backend, and mostly-React on the frontend, but our application requirements drive a substantial amount of custom software architecture; that is, Airtable is pretty far from a boilerplate “React + Express” application. We also periodically evaluate adding other languages into our codebase for ecosystem or performance reasons. Mobile apps are currently written in the standard platform language, mixed with JavaScript in webviews where appropriate. Our production infrastructure runs on a variety of AWS services, principally using Terraform for deployment; for data collection, aggregation, monitoring, and alerting, we use a mixture of ELK and some carefully selected third-party services.

Our clients (Android, iOS, and web) and backend are all built in JavaScript using technologies like React, React Native, Nodejs, and GraphQL.

Web - Node, React, Python, PostgreSQL

Mobile - React Native, Swift (iOS) / Java (Android)

iOS team: Swift & Objective-C. Android team: Java. Desktop team: Electron, web stack (js, css, etc.). Service team: Java, AWS, devops.

Python / Django Scala Golang Postgres Cassandra ElasticSearch Redis AWS (EC2, S3, ALB, EBS, Kinesis, SQS) Linux (Ubuntu)

Some popular languages and frameworks we use are: (Web) JavaScript, Python, Go, Java, PHP, Ruby | Node.js, Express, Spring, ReactJS, Redux, Typescript, Rails. (Android) Kotlin, Java | RxJava, React Native. (iOS) Swift, Objective-C | RxSwift, React Native

Frontend: Javascript, React, Typescript, Flow, Mobx, Stylus, Redux, Reactive JS, Styled Components, Focal (our own in-house, open-sourced state management framework)

Mobile (iOS and Android): Java, OkHttp, Butterknife, Retrofit, XCode, Swift, ReactiveCocoa, ReactiveSwift, Kickstarter-Prelude, Argo, Runes, Curry

Desktop app: CoffeeScript, Electron.js, C#, F#, ReactiveUI

Internal tools: Angular, Elm, ClojureScript

Backend: Java, Scala, Python, Haskell, Lisp, Clojure, Go, C++

NLP/Research teams: sklearn, TensorFlow, PyTorch, CNN, RNN, Keras, Seq2Seq, xgboost, CRFs, nltk/spacy/OpenNLP, OpenNMT, Jupyter notebooks

TypeScript, JavaScript, and React

Scala (high performance backend)

Python (infrastructure management and data analysis)

Android and iOS

Luna1 (legacy in-house functional reactive framework, similar to Meteor)

Ruby on Rails, React, React Native (iOS & Android), Postgres, Sidekiq … and lots of testing and CI tools!

We use a LAMP (Linux (Ubuntu), Apache, MySQL, PHP) and have iOS and Android clients that we developer natively in Swift and Kotlin. We also integrate with the Clover POS terminals. We’re infinitely curious so we also dabble in lots of other tech but this is our official stack.

mindmatters develops software for a variety of customers. Depending on the project specifics we choose mostly Java/Spring Boot, Ruby on Rails, JavaScript, React, Angular 2+, Swift, Objective-C, Android