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Vector.ai uses 21 technologies like Amazon Machine Learning, Apache Kafka, and Docker. View Vector.ai's complete Tech Stack.

Vector.ai Business Intelligence And Analytics Technology

Amazon Machine Learning is a service that allows to develop predictive applications by using algorithms, mathematical models based on the user's data.
Keras is an API designed for human beings, not machines. it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It is a central part of the tighly-connected TensorFlow 2.0 ecosystem.
Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks.
Tensorflow is an end-to-end open source machine learning platform. It allows developers to create large-scale neural networks with many layers.

Vector.ai Programming Languages And Frameworks Technology

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Google Cloud APIs allow businesses to automate workflows by using these Cloud APIs with REST calls or client libraries in popular programming languages.
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.
PostgreSQL is an object-relational database management system.
Python is an interpreted high-level programming language for general-purpose programming. Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library.

Vector.ai Platform And Storage Technology

Docker is an open platform that enables developers and system administrators to create distributed applications.
Google Cloud Platform is a suite of cloud computing services that enables developers to build, deploy, and scale applications, websites, and services on the same infrastructure as Google.

Vector.ai Devops And Development Technology

GitHub is a place to share code with friends, co-workers, classmates, and complete strangers, helping individuals and teams to write faster, better code.
GitLab is a web-based Git-repository manager with wiki, issue-tracking and CI/CD pipeline features, using an open-source license, developed by GitLab Inc.
Google Cloud DNS is a high-performance, resilient, global DNS service that provides a cost-effective way to make applications and services available to users.
Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
Kubernetes helps to manage a cluster of Linux containers as a single system to accelerate development and simplify operations.
Netlify provides a full-featured CDN hosting solution.

Vector.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.
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.

Vector.ai HR Technology

Trello: A visual collaboration tool that creates a shared perspective for your team on any project in a fun, flexible, and rewarding way.

Vector.ai Marketing Technology

Twitter is a microblogging and social networking service on which users post and interact with messages known as "tweets".
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