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AngularJS, Backbone.js, Django, Ember.js, Flask, Node.js, Ruby on Rails, C++, Golang, Java, JavaScript, Kotlin, Python, Swift, React, Objective-C

Backend: Ruby on Rails. Frontend: ReactJS + Typescript.

Go for backend services, Node and Typescript for our web services, Next.js and React/Typescript on the frontend. We run on AWS with Kubernetes for containerization, and gRPC and protobufs for internal service communication.

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. Mobile apps are currently native and use JavaScript in webviews where appropriate. Our data infrastructure, which drives our data science and business intelligence efforts, is primarily in Python. We periodically evaluate adding other languages into our codebase for ecosystem or performance reasons; philosophically, we try hard to standardize on a few languages and toolchains so that investments in tooling can be leveraged across larger fractions of our engineering effort. Our production infrastructure runs on a variety of AWS services, principally using Terraform for deployment; for logging, aggregation, monitoring, and alerting, we use a mixture of ELK and some carefully selected third-party services.

On the backend, our stack runs on Python3 in combination with GraphQL, on top of AWS infrastructure like Lambda & ApiGateway, to deliver the best experience and value to our customers.

On the frontend, we currently have three clients: web, iOS, and Android. Our existing web stack is an AngularJS (also known as Angular 1) app, within which we have (more recently, i.e. past year) been writing React components. The new stack is entirely React, written in Typescript, and includes modern libraries for things like state management, api requests, analytics, and error handling. It’s also built in such a way that we can package it as a native iOS/Android app, getting us closer to our goal of writing ~once while deploying on all 3 platforms. The iOS stack is Objective C and Swift and the Android’s stack is Java and Kotlin.

AWS, Contentful, GCP, JavaScript, Swift, Node.js, PHP, PostgreSQL, React Native

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

Web: PHP, JavaScript, TypeScript, React/Redux, MySQL, Docker, and Elixir.

Mobile: Kotlin, Swift, Java, Objective-C, React Native, and Electron.

Systems: Docker, Nginx, PHP, C, Lua, MySQL, MongoDB, Node.js, Statsd, Graphite, Prometheus, Elasticsearch, Logstash, Hadoop, MogileFS, HDFS, and BGP.

Data: Hive, Impala, HBase, Spark, HDFS, Python, Java, Scala, Kafka, Elasticsearch, MySQL, Solr, and Lucene.

We’re on service-oriented architecture. Our backend is composed of a collection of Java services that communicate via RPC. Our frontend web stack is a React/Redux application. We use Objective-C and Swift in the iOS app and Kotlin in the Android app. Our data infrastructure is cloud native in AWS and includes S3, EMR, Redshift/RDS, Lambda, and ECS.

Web - Node, React, Python, PostgreSQL.

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

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