atp.io uses 11 technologies like Amazon EC2, Amazon Machine Learning, and Amazon Relational Database Service (RDS). View atp.io's complete Tech Stack.
atp.io Devops And Development Technology
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to facilitate web-scale computing for developers.
atp.io 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.
Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Apache Spark MLlib is an open source, scalable machine learning library, with APIs in Java, Scala, Python, and R.
Azure Databricks provides the latest versions of Apache Spark and allows to seamlessly integrate with open source libraries.
Databricks is a data analytics tool that simplify big data processing and free users to focus on turning data into value.
Neo4j is a highly scalable, open source, native graph database purpose-built to leverage not only data but also its relationships.
atp.io Programming Languages And Frameworks Technology
Amazon Relational Database Service (RDS) is a distributed relational database service by Amazon Web Services. It is a web service running in the cloud designed to simplify the setup, operation, and scaling of a relational database for use in applications.
JavaScript is the programming language of HTML and the Web.
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.
atp.io Computer Networks Technology
AWS Route53 is a Cloud DNS service helps in customers to route end user requests to internet applications.
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