Parallel AI uses 10 technologies like Apache Kafka, Gmail, and G Suite. View Parallel AI's complete Tech Stack.
Parallel AI Programming Languages And Frameworks Technology
Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Hypertext Markup Language (HTML) is the standard markup language for documents designed to be displayed in a web browser. It can be assisted by technologies such as Cascading Style Sheets (CSS) and scripting languages such as JavaScript.
MongoDB is the next-generation NoSQL database that helps businesses transform their industries by harnessing the power of data.
Parallel AI Communications Technology
Gmail is a free, advertising-supported email service offered as part of Google's G Suite, with 15GB of storage, color-coded inbox filters and unsend button.
Parallel AI Collaboration Technology
G Suite is a suite of apps from Google which offers a number of tools to communicate and collaborate with colleagues, store files, and manage data.
Slack is a single workspace that connects users with the people and tools they work with everyday, no matter where they are or what they do.
Parallel AI Devops And Development Technology
Jenkins is an open source automation server written in Java. Jenkins helps to automate the non-human part of the software development process, with continuous integration and facilitating technical aspects of continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat.
Kubernetes helps to manage a cluster of Linux containers as a single system to accelerate development and simplify operations.
Parallel AI Marketing Technology
Later helps to plan, schedule, and manage content for Instagram.
Parallel AI Business Intelligence And Analytics Technology
Tensorflow is an end-to-end open source machine learning platform. It allows developers to create large-scale neural networks with many layers.
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