It is a much faster way to build and deploy data apps. It gets rid of repetitive grunt work when building and deploying data applications. It abstracts away the micro-management of computing, storage, orchestration, and visualization, letting you focus on your specific app’s logic.
Patterns is a tool in the Platform as a Service category of a tech stack.
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What are some alternatives to Patterns?
Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
An open source Java framework that focuses on making integration easier and more accessible to developers.
Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
Python, Slack, Markdown, Google BigQuery, PostgreSQL are some of the popular tools that integrate with Patterns. Here's a list of all 5 tools that integrate with Patterns.